Understanding Consumer Behavior
MKTG 3085 - Consumer Behavior
University of Cincinnati
January 29, 2024
Consumer behaviour is affected by both internal and external factors.
In particular, consumer behaviour is mainly dictated by external
factors that are attributable to the companies that are selling products
and services via online platforms. External factors are beyond the
control of consumers who rely on available information pertaining to
shopping through online media. Internal factors also play a role in
determining consumer tendencies based on the buyer’s attitudes,
perception of risk and demographic aspects. Unlike the external
factors, internal factors can be controlled by the consumer who might
decide to take them into consideration or to overlook their
implications. By using primary and secondary sources of data, it is
possible for Zara to deduce factors affecting online shopping, the
challenges impeding them and also possible recommendation for
encouraging online purchases./
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
The most effective primary source of consumer data is questionnaires.
The use of questionnaires is an efficient research method that can be
utilized to acquire relevant information on hopping behaviour ( Chen,
Yan, Fan, & Gordon, 2015) . Closed-ended questionnaires can be
distributed to capture information on the consumer’s age group,
gender and other essential demographic data. The questionnaires can
also enquire about the facets controlling consumer patterns, especially
the trends and driving factors exhibited in a given market. In this
source, data is collected from a fixed number of recipients who depict
the variables and characteristics that are under investigation.
Sampling is another essential tool that will enable the identification of
the best statistical models for selecting questionnaire recipients as in
the investigation of consumer behaviour. In sequential analysis, the
sample size is not fixed in advance since subjects are selected during
the actual experiment (Chen et al., 2015). The next step of research is
the analysis phase and it entails contextualizing the knowledge gap
that is hypothesized. Intelligent data analysis can be employed to
enable the modelling and discovery of quantitative data as well as the
description of qualitative information. Therefore, the analysis phase
involves uncovering new data and also validating the hypotheses by
either supporting it or contradicting it through conclusive data./
The internet and social media platforms provide a valuable source of
secondary data about consumer behaviour. Nowadays, the growing
popularity of the internet affects how customers do their shopping
mainly through the emergence of online shopping platforms. In this
case, drivers are the tangible and intangible factors that can affect the
decisions made by customers with regards to their online shopping
tendencies (Fang, Wen, George, & Prybutok, 2016) . Furthermore, the
internet has severe implications to organizations such that it offers
stability through market benefits and pricing incentives. By evaluating
the drivers of online shopping behaviour of consumers in, it is
possible to predict future trends in buying behaviour as well as enable
the formulation of optimal business decisions./
Social media is now recognized as an emerging alternative to
traditional marketing tools that are utilized by organizations.
Companies that utilize social platforms are able to establish a desired
brand image to consumers thereby affecting online shopping
behaviour ( Mikalef, Giannakos, & Pateli, 2013) . In established
consumer markets, social media will allow Zara to generate brand
loyalty in customers./
Overall, there are various sources of primary and secondary data that
Zara can use to examine consumer behaviour including
questionnaires, sampling, the internet, and social media. These sources
of data illustrate how consumer behaviour is influenced by both
internal and external factors. Research into consumer buying
behaviour reveals several aspects about the relationship between
online shopping and the core factors affecting it. Through this
research, Zara can determine the main considerations that motivate
specific shopping patterns depicted by buyers. Secondly, it can
establish the obstacles that impede online shopping from two
perspectives: consumer’s viewpoint and seller’s outlook. The ultimate
goal is for Zara to formulate recommendations for optimizing the
online shopping experience for consumers.
References
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015). The joint
moderating role of trust propensity and gender on consumers’ online
shopping behaviour./ Computers in Human Behavior ,/ 43 , 272-283./
Fang, J., Wen, C., George, B., & Prybutok, V. R. (2016). Consumer
heterogeneity, perceived value, and repurchase decision-making in
online shopping: The role of gender, age, and shopping motives./
Journal of Electronic Commerce Research ,/ 17 (2), 116./
Mikalef, P., Giannakos, M., & Pateli, A. (2013). Shopping and word-
of-mouth intentions on social media. Journal of theoretical and applied
electronic commerce research, 8(1), 17-34
