marketing research

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EXEMPLARResearchProposals217.pdf

Marketing Research ­ MKTG 2005 ­ Fully Online 

RESEARCH PROPOSAL (Methodology) 

Please read closely the exemplar below. It is not the perfect assessment, but is a very good example, and scored 85-90%.

Please view this with consideration for what is asked in the assessment brief, and what is stated in the marking rubrics.

It is also integral you can look at this work and yours CRITICALLY so to improve.

PLEASE NOTE, assessments regularly change, so what is stated in this semester's BRIEF may be somewhat different.

Please read the CURRENT ASSESSMENT BRIEF closely!!!!

I have made further notes in red for each section highlighting a few key points.

Great creative presentation. Provides only key information for required sections emphasized. Is concise and clear. Have used free online software Canva to create. Google it!

RESEARCH BACKGROUND According to PWC (2015, 9), 89% of respondents agree the sharing economy is based on the                               

intangible variable of trust between providers and users. Trust is a willingness to be                           

vulnerable to the actions of another person or people (Mayer et al 1995) and is therefore,                               

the ​“cornerstone of any successful relationship, be it personal or professional” (Nielsen                        (2014, 10). 

A survey by Campbell Mithun’s in 2012 discovered 67% of respondents expressed trust                         

concerns as the primary barrier to undertaking peer­to­peer transactions (Davis 2012). Thus,                       

trust in the sharing economy environment is a vital component as it ​“is the social glue that                                  enables collaborative consumption marketplaces and the sharing economy to function                   

without friction”​  (Rinne 2013, 4). 

To build trust within the sharing economy, numerous consumers of varying ages engage                         

with online review/rating/reputation systems (Godwin 2016). This platform as well as age                       

can affect the consumer’s decision­making process and their perceived                 

attitudes/perceptions/beliefs towards a particular company, as a survey conducted by Pews                     

discovered millennials have the lowest levels of trust, with only “19% say most people can                             

be trusted, compared with 31% of Gen Xers, 37% of Silents and 40% of Boomers”​ . Thus,                                confirming age to be a factor when trust is involved (Pew Research Center 2014). 

A survey conducted by Verida (2016), revealed 98% of consumers will read peer reviews to                             

establish credibility and reputation.  

(Verida 2016, 6) 

Similar results were discovered in BrightLocal (2015) as 92% of respondents’                     

regularly/occasionally read online reviews, with 40% forming an opinion from reading only                       

1­3 reviews. While 80% of respondents trusting online reviews as much as personal                         

recommendations, ONLY if they meet their requirement (BrightLocal 2015). Thus, suggesting                     

Background – good overview of key points, range of info and sources suitable to the study.

authenticity of reviews to be fundamental factor for consumers to trust the reviews they                           

read.  

(BrightLocal 2015) 

Online review/rating/reputation systems therefore perform a significant factor in consumer                   

decision­making process, as it allows consumers to ​“discover, evaluate, and compare                      products/services on the web” (Zervas, Proserpio and Byers 2015, 1). However, such systems                         

have recently been discovered to generate reviews that are questionable in reflecting the                         

true product/service quality, with many being overwhelmingly positive (Zervas, Proserpio                   

and Byers 2015). 

According to an analysis developed by Zervas, Proserpio and Byers in 2015 of 600 000 

Airbnb properties worldwide, they discovered“​95% of Airbnb properties boasting an  average user­generated rating of either 4.5 or 5 stars (the maximum); virtually none have 

less than a 3.5 star rating”​ .  

Example of Airbnb guest review: Airbnb adopts an ‘Identified Review System’:  

With 51% of consumers selecting a product/service based on its positive reviews                       

(BrightLocal 2015), it has caused concerns in the authenticity/accurateness of reviews on                       

Airbnb, as negative incidents have increasingly developed affecting current/future guest’s                   

trust and personal safety whilst using Airbnb product/services of which have had positive                         

reviews, suggesting huge discrepancies between reviews and the product/services attained. 

The overwhelmingly high ratio of positive to negative reviews creates difficulty for                       

consumers to trust whether the Airbnb product/service is safe, hygienic and of exceptional                         

quality. Due to this, “​consumers who are familiar with the sharing economy are 34% more                              likely to trust a leading hotel brand than Airbnb​  “(PWC 2015, 23).  

Online articles, verifying Airbnb’s issue with their online review/rating/reputation                 

systems: 

SECONDARY RESEARCH FINDINGS The sharing economy is a form of consumer­to­consumer e­commerce (Jones and Leonard                       

2014). Due to this nature, trust is deemed crucial within the sharing economy and is                             

therefore a relevant driver and barrier for consumer participation. (Hawlitschek et al 2016;                         

Rogers and Botsman 2010). This therefore, results in trust to be a major                         

challenge/detriment, as it has the capabilities to affect purchase intentions within the                       

consumer decision­making process (Voeth et al 2015). However, to cope with this trust                         

challenge, the sharing economy has developed/utilized the mechanism of online review                     

systems to ensure users can create and maintain trust (Hawlitschek et al 2016). 

The presence of online reviews is regarded as a powerful source of information for                           

consumers, as it is a form of word­of­mouth, resulting in the term electronic word­of­mouth                           

(EWOM) to arise (Browning et al 2013; Racherla et al 2012). According to Mo et al (2015),                                 

consumers of all ages utilize online reviews during the consumer decision­making process as                         

a source to judge whether they should proceed with purchasing. Online reviews are                         

evaluations of products/services created by consumers (Mudami and Schuff 2010).                   

Therefore, the utilization of online reviews assist consumers in determining the quality of                         

the product/service (Mo et al 2015). Due to this, online reviews can further assist                           

consumers in attaining attitudes, perceptions and perceived risks associated with the                     

purchase of the product/service, whilst also deciding whom to trust (Askay 2014; Mo et al                             

2015). 

However, according to a study by Askay (2015) there has been an increase of positive­bias                             

online reviews being identified in numerous online review systems (Askay 2015). This high                         

degree of positive­bias online reviews has impacted the ‘quality’ of reviews, which further                         

impacts the consumer decision­making process (Van Rooyen et al 1999). A study conducted                         

by Van Rooyen et al (1999), confirmed the vast majority of reviewers are more than likely to                                 

decline to review if their identity was revealed, suggesting individuals are apprehensive of                         

posting truthful reviews. Reasoning to this, can be explained via the Spiral of Silence (SOS)                             

Theory as this theory proposes individuals are more likely to refrain from writing reviews if                             

their identity was revealed due to fear of social isolation and punishment (Askay 2014;                           

Noelle­Neumann 1974). A study by Bolton et al (2013) confirmed posting negative ‘truthful’                         

reviews could result in retaliatory feedback to occur. Due to this, many consumers rely on                             

social media and visual images of the seller during their consumer­decision making process                         

to attain trust.  

According to ​Ioanăs and Stoica (2014), social media has the ability to influence consumers                            within e­commerce. While Ert et al (2016), discovered visual images of the seller and                           

non­visual images such as reviews to aid in trust building. ​However, the ability to trust                              online reviews is highly dependent on age and gender. A study by Bae and Lee (2010)                               

discovered online reviews on purchase intention are stronger for females than males. While                         

Secondary research – great use of wide range of academic sources. Good synthesis across sources, not purely quoting.

Sutter and Kocher (2014) discovered trust to not only differ across age groups at a given                               

time, but also across time within different age groups. 

PRIMARY RESEARCH FINDINGS The primary research was attained by a qualitative method called focus groups. The nature                           

of the focus group was informal and encompassed a thorough discussion, due to numerous                           

open, closed and probing questions. The probing questions assisted in delving further into                         

potential factors, which has provided meaningful information about the issue. 

The use of observation tools was deemed unnecessary within our focus group, as consumer                           

skepticism could only be discovered by the individual's perception, attitudes and beliefs                       

associated with Airbnb and therefore are cognitive, meaning individuals would verbally say                       

what their perception, attitudes and beliefs are, rather than portraying it within their                         

behaviour at the focus group. Therefore, communication tools were only used to complete                         

the focus group. 

Two moderators managed the focus group. The conducted focus group was completed                       

within a semi­informal environment at the following location – Curtin University Robertson                       

Library. A study room was booked to conduct the focus group to ensure privacy, so                             

participants were not distracted by their surroundings. The focus group consisted of 6                         

individuals (3 females and males), aged between 18 and 25, with 3 individual being active                             

Airbnb ‘guest’ users and 3 individuals being non­active Airbnb ‘guest’ users. 

Additionally, a quantitative method called survey­questionnaire was also utilized, due to its                       

structured format, which enabled the topic to be measured via statistics. This assisted in                           

providing objective statistical conclusions. Our survey was conducted online and                   

face­to­face. The online survey­questionnaire was shared via a social media platform –                       

Facebook. This allowed for maximization of survey results. 15 individuals (8 females and 7                           

males) completed the survey, with ages between 18 and 30.   

The survey­questionnaire was also handed to our work colleagues to complete. A total of 10                             

individuals (5 females and males) completed the survey­questionnaire between the ages of                       

18 and 35. Both the online and face­to­face survey­questionnaire also consisted of                       

active/non­active Airbnb ‘guest’ users. Having active/non­active Airbnb ‘guest’ users                 

enabled different insights and perspectives for both our focus group and                     

survey­questionnaire. 

In addition, the focus group and survey questionnaire utilized a convenience sample, as                         

individuals were selected due to them being conveniently located at the right place/time.                         

Utilizing a convenience sample assisted in saving time. 

Primary research – don’t want discussion of what exploratory research is, just application. Good discussion of the method they used, (even why you didn’t use others) and what they found, and discussion given to how used for rest of study.

Questions, which were asked in the focus group and survey­questionnaire, revolved around                       

discovering the potential factors/variables that are contributing to Airbnb’s consumer                   

skepticism. By adopting these questions, it has assisted in developing understanding to the                         

rise of consumer skepticism. The following findings were discovered: 

● 50% of individuals are unsure of the sharing economy and its peer­to­peer                      marketplace.

● 50% trusted the Airbnb platform. ● Trust is an influential factor, with 100% of individuals stating it is a factor they do                             

consider within their decision­making process.

● 90% of individuals believe online reviews to influence their decision­making process                    and final selection.

● 90% believe the high ratio of online reviews to be unreliable and to lack credibility. ● 95% will refer to the company’s online review system to gather information during                       

their pre­purchase

These findings have assisted in clarifying and refining our research problem/design by                       

discovering the influential and potential factors, which are instigating consumer skepticism                     

for Airbnb. These findings revealed the factors of their online review systems and the host’s                             

product/service to be prominent factors. These vital findings have thus, allowed for a                         

foundation for our research questions to revolve around these areas, to ensure further                         

identification and information of the issue.  

RESEARCH PROBLEM 

● Airbnb’s online review system is causing a decrease in consumers trust due to its lack                            of transparency and accountability.

● This poses an issue for Airbnb as it is jeopardizing its ability to retain consumers                            within its platforms and to trust its host’s product/service.

● This has further caused implications within Airbnb’s future guest experiences and its                      bottom line.

RESEARCH QUESTIONS  The following research questions will assist in determining factors which may impact an                         

individual’s ability to trust Airbnb, whilst also determining the extent of which these                         

variables can influence trusting behaviour.   

1. How does non­anonymous (identified) online reviews affect the ability for                 

consumers to trust Airbnb?

Research Problem – okay overview of what is causing, problem, and implications. More detail would be nice.

RQs – good clear overview. Consistent and useful variables, clearly stated. Rq3 too vague. Could extend to 7 to conceptualize more comprehensively

2. Could social media platforms impact the attitudes and beliefs of individuals towards                     

Airbnb?

3. How does an individual’s perception influence consumer behaviour when choosing                 

Airbnb?

4. Does age and gender impact the consumer decision­making process when selecting                   

Airbnb?

5. Does the presence of photos have a significant impact on the guest’s                     

decision­making process and their ability to trust Airbnb?

CONCEPTUAL MODEL 

Conceptual model – good conceptualization. clearly linked with RQs. Good justification of why. Would only limit to 1 moderator (becomes too complex otherwise). Would like to see a mediator present too.

It has been conceptualised that: 

● Consumers make purchasing decisions solely based off the judgement made from                    either the host's profile or accommodation photos. Perceived trust in this case works                       

as a moderator, as the consumers perceived trust of the host is purely made from                           

the guests impressions they receive when viewing the host's profile.

● Consumers require the trust of both the service platform and the fellow host when                          using peer­to­peer businesses such as Airbnb. Perceived risk is the uncertainty of                     

consequences the consumer has on the service, and in this case acts as a moderator                           

as various risk factors such as theft, fraud and physical harm can have a negative                           

influence on the consumer when using Airbnb.

● Reviews are likely to affect the consumer's purchasing decision when choosing                    AIRBNB, the attitudes and beliefs acts a moderator as it can impact their purchasing                         

decision based off their attitude and beliefs.

● Social media can negatively or positively affect the consumer's buying decision when                      choosing AIRBNB, online reviews is a moderator as it can impact the individual’s                       

perception towards the service.

● As consumer habits adjust over time, age may act as a moderator as it will definitely                              influence how consumers think when choosing Airbnb and if it may or may not be                           

suitable for them.

PROPOSED SAMPLING Population of interest  The research will be targeted at individuals aged between 25 ­ 45 who are Travellers or                               

residents in the 5 key tourist areas of Western Australia, The Great Southern, The South                             

West, Perth Metro, The Kimberleys and Mid West. These are the 5 major tourist based                             

regions of Western Australia. The majority of current Airbnb consumers use the service for                           

accommodation in either one of these areas. The population will be computer literate. The                           

population will have varying levels of income, this is due to the variety of property prices of                                 

the Airbnb listings. There are listing as little as $50 AUD per day. The population will also be                                   

financially aware of the savings involved in using Airbnb as the service is deemed as a way of                                   

saving money on hotels and accommodation.. They will be active travellers themselves that                         

also utilise online media for cost saving holidays. They will actively use online resources to                             

compliment their lifestyle and strive for convenience with the use of technology on a daily                             

basis. They will be active users of technology based sharing economies such as UBER EBAY                             

and Airbnb. The population will therefore have a strong insight into the pitfalls and                           

Sampling – great overview of population and application of seg bases. Great range of Sampling frames, with the relevant population members present discussed. Procedure well thought-out and applied.

advantages of an online sharing economy. This will therefore lead to more educated sample                           

population on the subject of online sharing economies and e­tourism.  

Sampling frames Frame 1:  Travel blog subscribers from travelblo.org contain hundereds of subscribers with keen travel                       

interests around Australia. They are primarily technologically aware and use the internet for                         

reviews of possible places to travel around Australia/Oceania. Being an interactive site with                         

a forum suggests that subscribers are active and are stimulated by the content. It is                             

important for the success of the questionnaire that the sample population are proactive                         

when it comes to online content.  

Frame 2:  Local Facebook groups will provide a list of active tourists and consumers with similar                           

interests to the region as well as possible vendors. Due to the interactive nature of facebook                               

and things like the instant messenger application it will be easier and more efficient to gain                               

candidates for the questionnaire and the focus group. Facebook also runs various types of                           

marketing packages that can be utilized to approach are target population.  

Frame 3:  Backpacker registers and sign in books are also a great example to gather source material.                             

With backpackers actively looking to travel on a budget they will be ideally placed to give a                                 

consumer’s opinion on the sharing economy. Backpackers are typically between 19­30 and                       

in Australia come from all corners of the globe. A common theme is a basic grasp of English                                   

as a language. 

Frame 4:  Another source is the website expedia which is a one stop shop for the best online deals for                                   

travellers incorporating accommodation as well as flights and other travel information. By                       

looking searching their subscribers on social media platforms such as facebook and twitter                         

will result in an “active user” segment population. Again direct messaging through these                         

platforms will result in efficient responses for the questionnaire and focus group.  

Sampling procedure  Stratified sampling will be used to divide the population geographically into 5 key tourist                           

regions: 

● The Great Southern (Esperance to Albany) ● The South West (Pemberton to Bunbury) ● The Perth Metropolitan (Mandurah to Yanchep)

● The Mid West (Lancelin to Kalbarri) ● The Pilbara (Anywhere North of Kalbarri)

Then through systematically in mailing and direct messaging suitable candidates through                     

social media platforms such as facebook, twitter and instagram according to the sample                         

population a pool of potential candidates will be created. It is advantageous to use the                             

social media aspect of our sample frames as they have capabilities that allow the sender to                               

see when a message has been read or received e.g Facebook messenger. This can help lead                               

a more efficient population sourcing technique. The interested candidates will then register                       

an email address to receive further information. 

The selected participants taken from the frames will receive an email that will be                           

incentivised by an Airbnb based incentive (e.g credit on future rentals). To filter potential                           

samples we will ask the below question to gain a stronger population to pool our results. By                                 

adding an Airbnb based incentive the likelihood of participants responding will therefore be                         

higher and lead to a more efficient sampling procedure.  

A. Have you used Airbnb in the past 6 months?

B. Have you had a negative experience with online tourism?

C. Do you feel the internet is a safe marketplace?

D. Are you a repeat Airbnb consumer?

E. Would you be interested in attending a discussion group on Airbnb and internet                       

security?

F. Why do you use Airbnb (optional) with a further notes section.

The first 5 questions will be in a simple “yes” and “no” answer format for convenience of the                                   

user. This will also make it simpler to filter the results to achieve the desired characteristics                               

of the research population. By asking whether the individual has used Airbnb in the last 6                               

months will give a fresh opinion of Airbnb and someone more likely to want to participate,                               

they will have either had a recent negative or positive experience. Recent experiences will                           

provide more clarity in focus groups. Questions A and B will qualify our population further                             

whilst D will also add consumers which will add an interesting element to our focus group.                               

People with experiences on both sides of the sharing economy may provide insights others                           

won’t.   

PROPOSED METHODOLOGY The instruments we will be conducting will have to be evaluated at the same time by                               

different members of the crew, quantitative data (questionnaires) is conducted at a 60%                         

capacity as it allows for more accurate results to be obtained and qualitative data (focus                             

group) is worth 40% due to the nature of consumers, this is then composed together to                               

analyse and interpret information. After we evaluate information we calculate the response                       

rates, with online surveys it is more straight forward compared to focus groups, response                           

rates are calculated by deducting the unusable questionnaire such as demographics filters                       

and incorrect personal details such as web addresses with the usable information. Being                         

online the system data comprises much of the information to interpret as focus groups are                             

more time consuming as its virtual to comprehend. 

Questionnaire:  This questionnaire will be distributed within social media platforms including email                     

versions, primarily based on that airbnb is an online sharing economy, so it is where most                               

information is collected and conducted which also creates a wide audience base and less                           

costs and validity. The conductor will not have to be present and user can be at any location                                   

at any given time to suit their lifestyle,within a designated time frame.  

Emailed introduction: 

“Good afternoon fellow travellers, 

Please take your time to participate in an online questionnaire, we would like to shed some                               

light on​ Airbnb and the increased skepticism over its online review system. Please click on the                                link below, you will be greatly rewarded. 

https://curtin.au1.qualtrics.com/SE?Q_DL=6YlyUWu5YQuQ9NP_5u6UYI4fkilwmPP_MLRP_bpZ2V

6kr832wVKJ&Q_CHL=email 

KR AIRBNB CREW!” 

Focus Groups: 

The focus group discussion has been designed to influence all participants into meaningful                         

thoughts and discussion about our overall research problem, being whether or not they are                           

likely to utilize a peer­to­peer business such as Airbnb based on a variety of contributing factors.                               

The questions within the focus group are constructed by exploring the participants feelings,                         

attitudes and perceptions they have towards choosing Airbnb. The focus group discussion is                         

centred around a wide range of vague and probing questions, which allowed for participants to                             

go into more deeper thought regarding the research problem and retrieve more accurate and                           

detailed data. 

Great to see the participant recruitment message.

the Qs must be viewable in the hard copy. Therefore if you are using a Qualtrics survey, you MUST also provide SCREENSHOTS of the questions in the appendices

Research instruments – Great overview of FGs with probes considered, as well as use of PT. Questionniare – some good Qs and lots of different types. I would separate into blocks though and make some more visually appealing. Limited demographic discussion.

Appendix 1: Script for focus group discussion  *IQ­ Introduction Question

Questions  Remarks/Rationale 

Introduction: “Hello everybody, my name is            X and this is Y. I will conduct the discussion                    and Y will observe and take notes. We                invited you all to discuss the topic of                AirBnB. I will ask you several open              questions. Your personal opinions and view            are very important for us. There are no                right or wrong answers. Please feel            welcome to express yourself freely during            the discussion. 

This conversation will be recorded on tape.              This is only for purpose of the research,                only Y and I will listen to the tape. No                    names or personal information will be used              in the report.  

Some practical issues: the discussion will            last between 45­60 minutes, . We ask you                to please switch off your mobile phones.              Please give everyone the chance to express              their opinion during the conversation. You            can address each other when expressing            your opinion, we are only here to assist in                  the discussion. Is everything clear about the              course of the focus group discussion? Let’s              begin. 

Before starting the focus group discussion,            all participants were informed about the            purpose of the discussion, confidentiality          and practical issues.  

IQ: Please share your name and age with                us.  

This enables participants to break the ice              between one another and allow for            communication to commence. 

IQ: What do you feel like a sharing  economy is ? explain 

If so, when did you last use one? 

Have you heard of airbnb? 

Have you ever been on the Airbnb website? 

Have you ever considered using Airbnb for  accommodation services? 

The aim of these questions are to              familiarize participants with the discussion          topic. 

If so, why? 

If not, why? 

1. How does social media influence your purchasing decisions?

A. Do you feel Facebook / twitter is a              reliable source of information on        products?

B. If so, does reading reviews on social            media about a company/ies have an          influence on your perception      towards them?

2. Have you read a review that has made              you question the concept of Airbnb?

A. Do you know anyone that has had a             

negative  experience with Airbnb?

B. Would this negative experience     

deter you from using Airbnb       

accommodation services?

C. If a review doesn’t impact on your           

decision making, what dose?

3. How might your attitudes and beliefs be influenced?

A. Are you more than likely to rely on             

an organisation’s online review     

system for consumer feedback or       

are likely to view other sources?

B. If so, what other feedback sources         

do you rely on?

C. Do you feel these sources are         

trustworthier than the   

organisation’s online review     

system? 

4. Are you quick to make judgment?

A. Would you say photos of a host's            accommodation could affect your      final purchasing decision?

If so how?

5. Are you indecisive making purchasing        decisions?

Why? 

What would make you feel more            comfortable? 

Would you use a peer­to­peer service if you                were uncertain of the consequences? 

6. How easily are you able to trust a company?

A. Would you choose bookings.com      over Airbnb?

If so, why?

If not why?

7. What do you feel is important to you when  booking accommodation?

A. Do you take into consideration the          pricing, images, reviews, customer      service.

Why?

8. Are you quick to make judgment?

A. Would you say photos of a host's            accommodation could affect your     

final purchasing decision? 

If so how...? 

9. How does this image make you feel?

A. What do you like about this image?

B. What do you dislike?

C. What is your outcome?

Source:  https://www.bing.com/images/search?q=ai rbnb+host+photos&view=detailv2&&id=A8 547B3157A3EB1FE45DF7E4EEF93F1B8AEF2 1B2&selectedIndex=6&ccid=vxiDX%2b5G& simid=608049061119789858&thid=OIP.Mb f18835fee468cc635358f552d563a71o0&aj axhist=0 

10. From our discussion today, How would you recommend any changes to airbnb?

A. How?

B. Why? And what for?

C. Do you agree or disagree with any others?

Thank you for your participation, any            questions? 

Pre­testing procedure Questionnaire:  The questionnaire was first distributed to a small group of colleagues and friends to help                             

examine the context, framing and information in an informal social media chat online. The                           

results show instruments that was not foreseen or missed. The results helped reformat and                           

question what scales to consider and be more precise in the information we were giving and                               

what data we wish to receive back. 

 ​Feedback received and changed: 

● Information and layout was too long. Improvement was formating to decrease the                      page’s, colour and word flow diligently by creating horizontal formatting,word type                   

and colour.

● The questionnaire needed to be modified and reworded to be clearer this was                        changed with a discussion of different options then rectified with a solution.

● More interval and Ratio scales, created more ranking orders to understand overall                      outcome of information.

● The rating system had to be clarified or changed, rating questions including multiple                        choice answer, it was unnecessary to have both.

Focus Group:  The focus group was pretested on a small group with an open forum discussion, and 

acknowledged and received a tremendous amount of feedback by our tutor for evaluation. 

Feedback received and changed: 

● In the  mock focus group, our questions were not creating enough discussion, and less effective in data sourcing and coding. We fixed and reworded our questions to

enhance information we were receiving.

● Feedback received was the introduction and our body language was to laid back that we needed more of a professional and confident manner, with this information we

acknowledged and changed our approach.

● Including visual images were acknowledged as they would be beneficial  to enhance engagement.

Research Environment  The questionnaire will be submitted via email and left for the sample population to answer                             

at their leisure.Within the email will be a link to the qualtrics questionnaire. By allowing the                               

population to take the questionnaire online in their own spare time there are no time                             

restraints or formal settings allowing the participant to be completely at ease when taking                           

the questionnaire. This is important so the participant is completely honest and takes the                           

time to put thought into each answer. This will therefore lead to more accurate and reliable                               

information.  

The focus group will be held in Perth, Western Australia the largest populated area in WA.                               

This is due to it’s central location for travellers and tourists alike. The focus group will take                                 

place on Saturday morning for the convenience of the sample population. The focus group                           

will be located in the Curtin University Library where rooms are free to rent for students.                               

Curtin University provides paid parking services and is located 15 minutes from the Perth                           

CBD. The room will be set out with chair creating a circle for discussion, drinks and snacks                                 

The PRE TEST is actually conducted, focusing on the issues identified (specifics) and how improved.

will be provided to settle the population prior to starting the discussion group. This is for an                                 

equal feel within the focus group. With all the population sat able to face each other it                                 

creates a friendly vibe within the group. The focus group leader will dictate the pace and                               

tone of the group following the focus group script. The group will be comprised of 10                               

participants and lasting between 45 minutes to an hour.  

PROPOSED CONTRIBUTIONS  Consumer trust is an issue negatively affecting Airbnb, due its peer­to­peer marketplace,                       

which undertakes stranger­to­stranger exchangers/transactions. With Airbnb implementing             

online review systems as a trust building/maintaining mechanism and additionally                   

encountering increased consumer skepticism on its reliability and trustworthiness, this                   

further verifies our research findings to be beneficial for the sharing economy, in particular                           

those organisations who utilize a online review systems.  

The research findings associated with online review systems will determine the best type of                           

online review systems for the sharing economy. As online review systems do vary greatly                           

from organisation to organisation. These findings discovered will provide useful insights in                       

attaining an online review systems which is authentic, trustworthy and reliable.                     

Furthermore, these findings will assist in developing strategies to improve their online                       

review systems and verify whether sharing economy organisation’s should be in an                       

anonymous format, rather than identified format to combat the fear of retaliation from                         

writing a negative review.  

Findings obtained could influence sharing economy organisation’s to update their online                     

review guidelines to foster writing negative reviews and ensure reviewers are being 100%                         

honest and reporting true information about their bad experiences. It can therefore assist in                           

sharing economy organisations to implement tools that avoid social retaliation and                     

punishment from writing a negative review.  

Additionally, the research findings will also discover the role of social media within sharing                           

economy and if social media reviews are more reliable source than their online review                           

systems. Our findings will also be based on consumer psychology associated within the                         

decision­making process of sharing economy products/services. These findings will provide                   

insights to sharing economy organisations on why consumers avoid selecting the sharing                       

economy on the basis of trust and therefore, allow for organisations to develop strategies to                             

combat this issue and motivate consumer engagement. Research findings will also provide                       

vital information about age groups and gender and their ability to trust. Again, this can allow                               

for sharing economy to understand the factors affecting trust levels towards sharing                       

economy and what age group and gender to focus on. Thus, the research findings obtained                             

Contributions – is not written as a conclusion GOOD. Talks about value of the research and to whom. Very clear and specific. Relevant to the industry and specific components of the report.

will allow the sharing economy to determine ideas/insights/strategies to combat factors                     

causing trust issues.  

REFERENCING AND COMMUNICATION

Askay, D. A. 2014. "Silence In The Crowd: The Spiral Of Silence Contributing To The Positive 

Bias Of Opinions In An Online Review System".  ​New Media & Society​  17 (11): 1811­1829.  doi:10.1177/1461444814535190. 

Bae, Soonyong and Taesik Lee. 2010. "Gender Differences In Consumers’ Perception Of                       

Online Consumer Reviews". ​Electronic Commerce Research 11 (2): 201­214.                  doi:10.1007/s10660­010­9072­y. 

Botsman, Rachel and Roo Rogers. 2010.  ​What's Mine Is Yours​ . New York: Harper Business. 

BrightLocal. 2015. "Local Consumer Review Survey". ​Brightlocal​ .  https://www.brightlocal.com/learn/local­consumer­review­survey/ ​. 

Bolton, Gary, Ben Greiner, and Axel Ockenfels. 2013. "Engineering Trust: Reciprocity In The                         

Production Of Reputation Information". ​Management Science 59 (2): 265­285.                  doi:10.1287/mnsc.1120.1609. 

Brown, Tom J, and Tracy A. Suter. 2014. MR. 2nd ed. Mason, OH: South­Western, Cengage                             

Learning.  

Browning, Victoria, Kevin Kam Fung So, and Beverley Sparks. 2013. "The Influence Of Online                           

Reviews On Consumers' Attributions Of Service Quality And Control For Service Standards In                         

Hotels". ​Journal Of Travel & Tourism Marketing 30 (1­2): 23­40.                    doi:10.1080/10548408.2013.750971. 

Davis, Paul M. 2012. "Survey Finds Trust Is #1 Barrier To Sharing". ​Shareable​ .  http://www.shareable.net/blog/survey­finds­trust­is­1­barrier­to­sharing ​. 

Ert, Eyal, Aliza Fleischer, and Nathan Magen. 2016. "Trust And Reputation In The Sharing                           

Economy: The Role Of Personal Photos In Airbnb". ​Tourism Management 55: 62­73.                        doi:10.1016/j.tourman.2016.01.013. 

Godwin, Matt. 2016. "Trust And The Sharing Economy ­ A Solutions Agenda".  ​EESC​ .  http://www.eesc.europa.eu/resources/docs/panel­2­­­matt­godwin.pdf ​. 

Very professional verbal communication suited to a research report. Visually quite good, neat, clear, good use of sub-headings, etc. IMPORTANTLY - reads as a collaborative piece of work, not individual sections done by 5 different people.

 

  

Hawlitschek, Florian, Timm Teubner, and Christof Weinhardt. 2016. "Trust In The Sharing                       

Economy". ​Die Unternehmung​  70 (1): 26­44. doi:10.5771/0042­059x­2016­1­26.   

Ioanăs, Elisabeta, and Ivona Stoica. 2014. "Social media and its impact on consumers                         

behavior." ​International Journal of Economic Practices and Theories​  4, no. 2: 295­303.   

Jones, Kiku and Lori N. K. Leonard. 2014. "Factors Influencing Buyer's Trust In                         

Consumer­To­Consumer E Commmerce". ​Journal Of Computer Information Systems 54 (4):                    71­79. doi:10.1080/08874417.2014.11645724. 

  

Mayer, Roger C., James H. Davis, and F. David Schoorman. 1995. "An Integrative Model Of 

Organizational Trust". ​The Academy Of Management Review​  20 (3): 709.  doi:10.2307/258792. 

 

Mo, Zan, Yan­Fei Li, and Peng Fan. 2015. "Effect Of Online Reviews On Consumer Purchase                             

Behavior". ​JSSM​  08 (03): 419­424. doi:10.4236/jssm.2015.83043.   

Mudambi, Susan M., and David Schuff. 2010. "What makes a helpful review? A study of                             

customer reviews on Amazon. com." ​MIS quarterly​  34, no. 1: 185­200.   

Nielsen. 2014. "Is Sharing The New Buying?". ​Nielsen​ .  http://www.nielsen.com/content/dam/nielsenglobal/apac/docs/reports/2014/Nielsen­Glob

al­Share­Community­Report.pdf​.   

Papadopoulou, Panagiota, Andreas Andreou, Panagiotis Kanellis, and Drakoulis Martakos.                 

2001. "Trust And Relationship Building In Electronic Commerce". ​Internet Research 11 (4):                        322­332. doi:10.1108/10662240110402777. 

 

Pew Research Center,. 2014. "Millennials In Adulthood". ​Pew Research Center’S Social &  Demographic Trends Project​ .  http://www.pewsocialtrends.org/2014/03/07/millennials­in­adulthood/​.     

PWC. 2015. "The Sharing Economy Consumer Intelligence Series". ​PWC​ .  https://www.pwc.com/us/en/technology/publications/assets/pwc­consumer­intelligence­s

eries­the­sharing­economy.pdf​.   

Racherla, Pradeep, Munir Mandviwalla, and Daniel J. Connolly. 2012. "Factors Affecting                     

Consumers' Trust In Online Product Reviews". ​Journal Of Consumer Behaviour 11 (2):                        94­104. doi:10.1002/cb.385. 

  

 

 

Rinne, April. 2013. "World Economic Forum Young Global Leaders Sharing Economy Position 

Paper". ​Slideshare.Net​ .  http://www.slideshare.net/CollabLab/ygl­sharing­economy­position­paper­final­june­2013​.    

Sutter, Matthias and Martin G. Kocher. 2007. "Trust And Trustworthiness Across Different                       

Age Groups". ​Games And Economic Behavior 59 (2): 364­382.                  doi:10.1016/j.geb.2006.07.006. 

 

Van Rooyen, S., F. Godlee, S. Evans, N. Black, and R. Smith. 1999. "Effect Of Open Peer                                 

Review On Quality Of Reviews And On Reviewers' Recommendations: A Randomised Trial".                       

BMJ​  318 (7175): 23­27. doi:10.1136/bmj.318.7175.23.   

Veridu,. 2016. "The Sharing Economy Consumer Views Survey". ​Veridu​ .  https://www.veridu.com/resources/Sharing­economy­consumer­views­survey.pdf. 

  

Voeth, Markus, Jana Pölzl, and Oliver Kienzler. 2015. "Sharing Economy–Chancen,                   

Herausforderungen und Erfolgsfaktoren für den Wandel vom Produktgeschäft zur                 

interaktiven Dienstleistung am Beispiel des Car­Sharings." In ​Interaktive Wertschöpfung                  durch Dienstleistungen​ , pp. 469­489. Springer Fachmedien Wiesbaden.  Zervas, Georgios, Davide Proserpio, and John Byers. 2015. "A first look at online reputation 

on Airbnb, where every stay is above average." ​Where Every Stay is Above Average (January  28, 2015)​ .