Stats
Running head: DATA COLLECTION 1
DATA COLLECTION 3
Data Collection
Data Collection
Topic of the Study: Factors impacting consumers’ online shopping frequency.
Rationale of the Study: Curently, online shopping among consumers is typically identified as an integral part of life. This is due to lack of time and the hassle of visiting shops, thus paved the way for online shopping. Most consumers understand that online shopping has significance; it helps save time as well as travel costs. Also, online shopping allows consumers to access a wide product variety (Suhaily & Soelasih, 2017). According to Fu et al. (2020), searching for products to be purchased among online shoppers is supported by special internet promotions, availability, price, attributes, and other desirable features.
However, other studies, as stated by Izogo and Jayawardhena (2018), point out that a significant section of potential customers will exercise reluctance towards using online shopping platforms; typically, the issue of trust pushes such customers to behave this way. Apart from trust issues, occupation, age, income, and gender also influence online shopping behavior. Although opposing customer decisions exist, the development of a research study became inevitable. Why does a specific section of customers show reluctance to frequent online shopping? What service attributes and demographic factors motivate customers to exercise the frequent purchase of online commodities?
Practical Utility: E-commerce websites will find this study useful during the development of consumer profiles. Also, this study will help e-commerce dealers to design strategic promotions desired by sections of online shoppers. Marketers, on the other hand, will use this study to target online shoppers demographically.
References
Fu, H., Manogaran, G., Wu, K., Cao, M., Jiang, S., & Yang, A. (2020). Intelligent decision- making of online shopping behavior based on internet of things. International Journal of Information Management, 50, 515-525.
Izogo, E. E., & Jayawardhena, C. (2018). Online shopping experience in an emerging e-retailing market. Journal of Research in Interactive Marketing.
Suhaily, L., & Soelasih, Y. (2017). What effects repurchase intention of online shopping. International Business Research, 10(12), 113-122.
Data Collection Tool
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1 |
Name: |
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5 |
Occupation: |
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2 |
Respondent No: |
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6 |
Gender: |
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3 |
Age (Years): |
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7 |
Monthly Income ($): |
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4 |
Education: |
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8 |
Marital status: |
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How often do you initiate online purchases every month?
Answer…………………………………………………..
Trust in online purchases:
Kindly respond to the statements according to your level of agreement. (HD = highly disagree, D = Disagree, U = Undecided, A = Agree, H = Highly Agree).
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SI. No. |
Item |
Response |
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1. |
Genuine products are sold online. |
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2. |
Customers may never receive products if they purchase goods online. |
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3. |
It is not advisable to use e-commerce platforms because personal data may be compromised. |
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4. |
Poor quality goods are sold online. |
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5. |
E-commerce dealers misuse customers’ bank details. |
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6. |
What we purchase online is different from what is delivered. |
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7. |
Compulsive buying behavior is caused by online buying. |
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Ease of buying:
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SI. No. |
Item |
Response |
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1. |
Genuine products are sold online. |
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2. |
It is challenging to provide personal details. |
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3. |
Payment process is cumbersome. |
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4. |
It is hectic to differentiate products. |
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5. |
Product quality is deceptive. |
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6. |
It is hectic to select products. |
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7. |
Product selection is typically hectic. |
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