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研究生: 黃星豪
Calvin Harijadi
論文名稱: 感知風險對餐廳選擇的影響:使用者原創內容的調節效果
How Will Consumer's Perceived Risk Affect their Visit Intention to Restaurants in Taiwan: Sources of User Generated Content as a Moderator
指導教授: 沈永正
Shen, Yong-Zheng
口試委員: 鄒蘊欣
Zou, Yun-Xin
朱克聰
Zhu, Ke-Cong
口試日期: 2021/06/23
學位類別: 碩士
Master
系所名稱: 管理研究所
Graduate Institute of Management
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 78
英文關鍵詞: perceived risk, ewom, online review, visit intention, user generated content
研究方法: 調查研究
DOI URL: http://doi.org/10.6345/NTNU202100700
論文種類: 學術論文
相關次數: 點閱:144下載:10
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  • In order to minimize the risks that a product or service will have, consumers will tend to search on reviews that are publicly shared all over the internet. Despite of becoming a practice for modern consumers, online reviews on the internet carry their own risk for the audience. People would seek as much information as possible to mitigate their risks, but on the other hand, they would fall into another pit of risk by believing the thread starters. In the food and beverage industry, it is a common thing in which expectations made by visitors are often correlated with financial and performance risks. The visitors would seem to have a perceived risk idea on their mind especially in visiting a new restaurant, whether it is about the quality of the food, the price, or even the service of the place. To mitigate these risks, people would have identified the trustworthiness of an online review, perhaps through their own judgement or experience. The study conducted an analysis on 141 respondents (consumers in Taiwan), and found out that there is a negative relationship between perceived risk and visit intention. Additionally, this negative relationship is moderated by blogsites as a source of user generated content. Overall, this research contributes to marketing literature specifically on the context of user generated content and its effect towards consumer's visit intention.

    ABSTRACT I TABLE OF CONTENTS II LIST OF TABLES IV LIST OF FIGURES V CHAPTER 1 INTRODUCTION 1 Background of Study 1 Statement of Problem 5 Research Objectives 5 Significance of Study 6 CHAPTER II LITERATURE REVIEW 8 Perceived Risk 8 Performance Risk 8 Financial Risk 9 Visit Intention 9 Electronic Word of Mouth (eWOM) 10 User Generated Content (UGC) 13 Google Review 13 Social Media 14 Food Blogsites 15 CHAPTER III METHODOLOGY 17 Research Framework 17 Research Hypothesis 18 Research Procedure 18 Sample and Participant Selection 20 Questionnaire Design 20 Measurements 21 Control Variables 22 Common Method Variance 23 Validity and Reliability 24 CHAPTER IV RESULTS 31 Descriptive Statistics 31 Correlations Between Variables 33 Hypothesis Testing 35 Post-hoc Analysis 40 CHAPTER V DISCUSSION 44 General Discussion 44 Implications 45 Limitations and Suggestions 47 References 48 APPENDICES 60 APPENDIX A RESEARCH QUESTIONNAIRE 60 APPENDIX B RESEARCH QUESTIONNAIRE (MANDARIN) 70

    Aghekyan-Simonian, M., Forsythe, S., Kwon, W.S., & Chattaraman, V. (2012). The role of product brand image and online store image on perceived risks and online purchase intentions for apparel. Journal of Retailing and Consumer Services 19(3), 325–331. https://doi.org/10.1016/j.jretconser.2012.03.006
    Ahn, D.H., Park, H.H., & Yoo, B.J. (2017). Which group do you want to travel with? A study of rating differences among groups in online travel reviews. Electronic Commerce Research and Applications, 25,105-114.
    Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2),179-211. https://doi.org/10.1016/0749-5978(91)90020-T
    Akbar, S. (2013). Relationship of service quality and customer loyalty through the moderating effect of socio demographic characteristics. International Journal of Hospitality and Tourism Systems 6(2), 81-91.
    Anderson, J.Q., & Rainie, L. (2010, July 9). Millennials will make online sharing in networks a lifelong habit. Pew Research Center. https://www.pewresearch.org/internet/2010/07/09/millennials-will-make-online-sharing-in-networks-a-lifelong-habit/
    Ariffin, S.K., Mohan, T., & Goh, Y. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12, 309-327.
    Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291–295.
    Bagadiya, J. (2018, January 8). 367 Social Media Statistics You Must Know In 2021. Socialpilot. https://www.socialpilot.co/blog/social-media-statistics#insta-usage-stats
    Banerjee, B., & McKeage, K. (1994). How green is my value: exploring the relationship between environmentalism and materialism C.T. Allen, D.R. John (Eds.), Advances in Consumer Research: (pp. 147-152). Association for Consumer Research, Provo, U.
    Bauer, R.A. (1960). Consumer behavior as risk taking. In: Hancock, R.S. (Ed.), Dynamic Marketing for a Changing World, (pp. 389-398). American Marketing Association, Chicago, IL.
    BBC. (2019, February 1). Taiwan country profile. BBC. https://www.bbc.com/news/world-asia-16164639
    Beaton, C. (2018, June 13). Why You Can’t Really Trust Negative Online Reviews. NYtimes. https://www.nytimes.com/2018/06/13/smarter-living/trust-negative-product-reviews.html
    Bickart, B., & Schindler, R.M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31–40.
    Booth, N., & Matic, J.A. (2011). Mapping and leveraging influencers in social media to shape corporate brand perceptions. Corporate Communications: An International Journal, 16(3), 184-191. https://doi.org/10.1108/13563281111156853
    Brady, M. K., & Cronin. Jr, J. J. (2001). Customer Orientation: Effects on Customer Service Perceptions and Outcome Behaviors. Journal of Service Research, 3(3), 241-251. https://doi.org/10.1177/109467050133005
    Bronner, F., & de Hoog, R. (2011). Vacationers and eWOM: Who Posts, and Why, Where, and What? Journal of Travel Research, 49(1). https://doi.org/10.1177/0047287509355324.
    Bruwer, J., Fong, M., & Saliba, A. (2013). Perceived risk, risk-reduction strategies (RRS) and consumption occasions Roles in the wine consumer’s purchase decision. Asia Pacific Journal of Marketing and Logistics, 25(3), 369-390. https://doi.org/10.1108/APJML-06-2012-0048
    Calza, F., Pagliuca, M., Risitano, M., & Sorrentino, A. (2020). Testing moderating effects on the relationships among on-board cruise environment, satisfaction, perceived value and behavioral intentions. International Journal of Contemporary Hospitality Management 32(2).
    Cantallops, A.S., & Salvi, F. (2014). New consumer behavior: a review of research on eWOM and hotels. International journal of hospitality management, 36, 41-51.
    Chapple, C., & Cownie, F. (2017). An investigation into viewers’ trust in and response towards disclosed paid-for-endorsements by YouTube lifestyle vloggers. Journal of Promotional Communications, 5, 110–36.
    Chen, W., & Fu, J. (2011) The operating performance evaluation of retail industry listed companies based on factor analysis. 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 6252-6255, https://doi.org/10.1109/AIMSEC.2011.6011415
    Chiang, C. F., & Jang, S. (2006). The Effects of Perceived Price and Brand Image on Value and Purchase Intention: Leisure Travelers' Attitudes Toward Online Hotel Booking. Journal of Hospitality & Leisure Marketing, 15(3), 49-69. https://doi.org/10.1300/J150v15n03_04
    Cox, A.M., & Blake, M.K. (2011). Information and food blogging as serious leisure. Aslib Proceedings, 63(2/3), 204-220.
    De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing Through Instagram Influencers: The Impact of Number of Followers and Product Divergence on Brand Attitude. International. Journal of Advertising, 36(5), 798–828.
    Devgan, S. (2021. March 3). 100 Social Media Statistics You Must Know In 2021 [+Infographic]. Statusbrew. https://statusbrew.com/insights/social-media-statistics/#instagram-marketing-statistics
    Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities’ Instagram profiles in influencing the purchase decisions of young female users. Computers in Human Behavior, 68, 1–7.
    Duggan, M., Ellison, N.B., Lampe, C., Lenhart, A., & Madden, M. (2015). Social media update 2014. Pew Research Center, 9.
    Evanschitzky, H., & Wunderlich, M. (2006). An examination of moderator effects: the four stage loyalty model. Journal of Service Research, 8 (4), 330-345. DOI: https://doi.org/10.1177/1094670506286325
    Feng, H., & Qian, X.M. (2014). Mining user-contributed photos for personalized product recommendation. Neurocomputing, 129. 409-420.
    Filieri, R., & McLeay, F. (2013). E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. Journal of Travel Research, 53(1), 44-57. https://doi.org/10.1177/0047287513481274
    Fink, J.S., Cunningham, G.B., & Kensicki. L.J. (2004). Utilizing athletes as endorsers to sell women’s sport: Attractiveness versus expertise. Journal of Sport Management 18(4), 350–367.
    Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley.
    Fornell & Larcker, D. F. (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
    Forsythe, S., Liu, C., Shannon, D. M., & Gardner, L. C. (2006). Development of a Scale to Measure the Perceived Benefits and Risks of Online Shopping. Journal of Interactive Marketing, 20(2), 55-75. https://doi.org/10.1002/dir.20061
    Fuchs, G., & Reichel, A. (2011). An exploratory inquiry into destination risk perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination. Tourism Management, 32(2), 266–276.
    Gilly, M. C., &Zeithaml, V. A. (1985). The elderly consumer and adoption of technologies.Journal of Consumer Research 12, 353-357.
    Glynn, M.S., & Chen, S. (2009). Consumer-factors moderating private label brand success: Further empirical results. International Journal of Retail & Distribution Management 37(11), 896–914. https://doi.org/10.1108/09590550910999343
    Gretzel, U. (2006). Narrative design for travel recommender systems. In: Fesenmaier, D.R., Wo¨ber, K. W., & Werthner, H. (Eds.), Destination recommendation system: Behavioural foundation and applications (pp.171-179). CAB International, London.
    Halligan, B., & Shah, D. (2009). Inbound Marketing: Get Found Using Google, Social Media, and Blogs. John Wiley & Sons, Inc.
    Han, H., Hsu, L., & Lee, J. S. (2009). Empirical investigation of the roles of attitudes toward green behaviors, overall image, gender, and age in hotel customers’ eco-friendly decision-making process. International Journal of Hospitality Management 28(4), 519-528. DOI: https://doi.org/10.1016/j.ijhm.2009.02.004
    Hansen, D. L., Shneiderman, B., & Smith, M. A. (2011). Analyzing social media networks with Nodexl. Burlington, MA: Elsevier.
    Heung, V., & Gu, T. (2012). Influence of restaurant atmospherics on patron satisfaction and behavioral intentions. International Journal of Hospitality Management, 31(4), 1167–1177. https://doi.org/10.1016/j.ijhm.2012.02.004
    Homburg, C., & Giering, A. (2001). Personal characteristics as moderators of the relationship between customer satisfaction and loyalty: an empirical analysis. Psychology & Marketing, 18(1), 43-66.
    Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural Equation Modeling: Guidelines for Determining Model Fit. Electronic Journal on Business Research Methods, 6(1).
    Horton, R. L. (1976). The structure of decision risk: Some further progress. Journal of the Academy of Marketing Science, (4), 94–106.
    Hsu, Y. H., & Tsou, H.T. (2011). Understanding customer experiences in online blog environments. International Journal of Information Management, 31, 510–523.
    Huifeng, P., Ha, H., & Lee, J. (2020). Perceived risks and restaurant visit intentions in China: Do online customer reviews matter?. Journal of Hospitality and Tourism Management 43, 179-189. https://doi.org/10.1016/j.jhtm.2020.04.005
    Hussain, S., Ahmed, W., Jafar, R.M.S., Rabnawaz, A., & Zhou, Y.J. (2017). eWOM source credibility, perceived risk and food product customer's information adoption. Computers in Human Behavior, 66, 96-102.
    Infocubic. (2019). How To Win The Hearts and Trust of Taiwanese Consumers. Infocubic, https://www.infocubic.co.jp/en/blog/taiwan/how-to-win-the-hearts-and-trust-of-taiwanese-consumers/
    Jang, S., & Namkung, Y. (2009). Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian–Russell model to restaurants. Journal of Business Research, 62(4), 451-460. https://doi.org/10.1016/j.jbusres.2008.01.038
    Jang, S.C., & Kim, D.H. (2015). Enhancing ethnic food acceptance and reducing perceived risk: The effects of personality traits, cultural familiarity, and menu framing. International Journal of Hospitality Management, 47, 85-95. https://doi.org/10.1016/j.ijhm.2015.03.011
    Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1–2), 45–71.
    Jurafsky, D., Chahuneau, V., Routledge, B. R., & Smith, N. A. (2014). Narrative framing of consumer sentiment in online restaurant reviews. First Monday, 19(4).
    Kemp, S. (2020). DIGITAL 2020: TAIWAN. Datareportal. https://datareportal.com/reports/digital-2020-taiwan
    Kemp, S. (2020, January 30). Digital 2020: 3.8 billion People Use social media. Wearesocial.
    https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media#:~:text=Worldwide%2C%20there%20are%203.80%20billion,percent)
    %20over%20the%20past%20year
    Kemp, S. (2021, January 27). Digital 2021: Global Overview Report. Datareportal.
    https://datareportal.com/reports/digital-2021-global-overview-report
    Kim, E.E.K., Mattila, A. S., & Baloglu, S. (2011). Effects of gender and expertise on consumers’ motivation to read online hotel reviews. Cornell Hospitality Quarterly, 52(4), 399-406. https://doi.org/10.1177/1938965510394357
    Kovács, B., Carroll, G. R., & Lehman, D. W. (2013). Authenticity and consumer value ratings: Empirical tests from the restaurant domain. Organization Science, 25(2), 458-478. https://doi.org/10.1287/orsc.2013.0843
    Kumar, A., Natarajan, S., & Acharaya, B. (2017). Computer mediated communication: A pathway to analyze social media communication trajectories. Man in India 97(4), 195-205.
    Kwak, D. H., Kim, Y. K., & Zimmerman, M. H. (2010). User Versus Mainstream Media Generated Content: Media Source, Message Valence, and Team Identification and Sport Consumers’ Response. International Journal of Sport Communication, 3(4), 402-421. https://doi.org/10.1123/ijsc.3.4.402
    Lacey, S., Bruwer, J., & Li, L. (2009). The role of perceived risk in wine purchase decisions in restaurants. International Journal of Wine Business Research, 21(2), 99-117. https://doi.org/10.1108/17511060910967962
    Lanz, L., & Berry, J. (2019, March 20). How Can Single-Unit Restaurants Strive for Powerful Online Presence?. Boston Hospitality Review. https://www.bu.edu/bhr/2019/03/20/how-can-single-unit-restaurants-strive-for-powerful-online-presence/
    Laroche, M., McDougall, G.H.G., Bergeron, J., & Yang, Z. (2004). Exploring How Intangibility Affects Perceived Risk. Journal of Service Research, 6(4), 373–389. https://doi.org/10.1177/1094670503262955
    Lee, J.M., Park, D.H., & Han, I.G. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls: an advertising perspective. Internet Research, 21(2), 187-206. https://doi.org/10.1108/10662241111123766
    Lee, M., & Youn, S.M. (2009). Electronic word of mouth (eWOM). International Journal of Advertising, 28(3), 473-499. https://doi.org/10.2501/S0265048709200709
    Lin, Y.S., & Huang, J.Y. (2006). Internet blogs as a tourism marketing medium: A case study. Journal of Business Research, 59, 1201-1205.
    Litvin, S.W., Blose, J.E., & Laird, S.T. (2004). Tourists’ use of restaurant webpages: Is the internet a critical marketing tool?. Journal of Vacation Marketing, 11(2), 155-161. https://doi.org/10.1177/1356766705052572
    Litvin, S.W., Goldsmith, R.E., & Pan, B. (2008). Eletrontic word-of-mouth in hospitality and tourism management. Tourism Management, 29, 458–468.
    Luca, M., & Zervas, G. (2016). Fake it till you make it: Reputation, competition, and Yelp review fraud. Management Science, 62(12), 3412-3427.
    Mahankali, S. (2019). Blockchain: The Untold Story: From birth of Internet to future of Blockchain. BPB Publications.
    Michaelidou, N., & Hassan, L. M. (2008). The role of health consciousness, food safety concern and ethical identity on attitudes and intentions towards organic food. International Journal of Consumer Studies, 32(2), 163–170.
    Mitchell, V.W. (1999). Consumer perceived risk: Conceptualizations and models. European Journal of Marketing, 33(1/2), 163–195. https://doi.org/10.1108/03090569910249229
    Mitchell, V.W., & Greatorex, M. (1993). Risk Perception and Reduction in the Purchase of Consumer Services. Service Industries Journal, 13(4), 179-200. 10.1080/02642069300000068
    Montgomery, K.C., & Chester, J. (2009). Interactive Food and Beverage Marketing: Targeting Adolescents in the Digital Age. Journal of Adolescent Health, 45, S18–S29.
    Namkung, Y., & Jang, S. (2007). Does Food Quality Really Matter in Restaurants? Its Impact On Customer Satisfaction and Behavioral Intentions. Journal of Hospitality & Tourism Research, 31(3), 387-409. https://doi.org/10.1177/1096348007299924
    Nunns, J. (2017). What is Google?. Tech Monitor. https://techmonitor.ai/what-is/what-is-google
    Oliver, R.L. (1997). Satisfaction: A Behavioral Perspective on the Consumer. McGraw- Hill, New York.
    Pant, R. (2015, January 16). Visual Marketing: A Picture’s Worth 60,000 Words. business2community. https://www.business2community.com/digital-marketing/visual-marketing-pictures-worth-60000-words-01126256
    Parasuraman, A. P., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple- Item Scale for measuring consumer perceptions of service quality. Journal of Retailing.
    Parikh, A., Behnke, C., Vorvoreanu, M., Barbara, Almanza., & Nelson, D. (2014). Motives for reading and articulating user-generated restaurant reviews on Yelp.com. Journal of Hospitality and Tourism Technology, 5(2). https://doi.org/10.1108/JHTT-04-2013-0011
    Park, S.W., & Nicolau, J.L. (2015). Asymmetric effects of online consumer reviews. Annals of Tourism Research, 50, 67-83. https://doi.org/10.1016/j.annals.2014.10.007
    Petit, O. (2016). Can Food Porn Make Us Slim? How Brains of Consumers React to Food in Digital Environments. Integr Food NutrMetab3. https://doi.org/10.15761/IFNM.1000138
    Pittman, M., & Reich, B. (2016). Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words. Computers in Human Behavior, 62, 155-167. https://doi.org/10.1016/j.chb.2016.03.084
    Putrevu, S., & Lord, K.R. (2013). Comparative and Noncomparative Advertising: Attitudinal Effects under Cognitive and Affective Involvement Conditions. Journal of Advertising 23(2), 77-91. https://doi.org/10.1080/00913367.1994.10673443
    Qi, C. X., Gibson, H. J., & Zhang, J. J. (2009). Perceptions of Risk and Travel Intentions: The Case of China and the Beijing Olympic Games. Journal of Sport & Tourism, 14(1), 43-67. https://doi.org/10.1080/14775080902847439
    Robinson, L. (2009). The art of food blogging. The Times. https://www.thetimes.co.uk/article/the-art-of-food-blogging-6xmdhrqrv7b
    Ryu, K., & Jang, S., (2008). DINESCAPE: a scale for customers’ perception of dining environments. Journal of Foodservice Business Research, 11(1), 2–22. https://doi.org/10.1080/15378020801926551
    Ryu, K., Han, H., & Kim, T. (2008). The relationships among overall quick-casual restaurant image, perceived value, customer satisfaction, and behavioral intentions. International Journal of Hospitality Management, 27(3), 459–469. https://doi.org/10.1016/j.ijhm.2007.11.001
    Ryu, K., Lee, H., & Kim, W. G. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200-223. https://doi.org/10.1108/09596111211206141
    Saba, A., & Messina, F. (2003). Attitudes towards organic foods and risk/benefit perception associated with pesticides. Food Quality and Preference, 14(8), 637–645.
    Schiffman, L., O'Cass, A., Paladino, A., D'Alessandro, S., & Bednall, D. (2010). Consumer behaviour. (5th. ed.) Pearson Education, Frenchs Forest, NSW.
    Schouten, A.P., Janssen, L., & Verspaget, M. (2020). Celebrity vs. Influencer endorsements in advertising: the role of identification, credibility, and Product-Endorser fit. International Journal of Advertising, 39(2), 258-281. https://doi.org/10.1080/02650487.2019.1634898
    Spunky Trends. (2017, April 24). Instagram matters in Thailand. Spunky digital. https://www.spunkydigital.com/instagram-matters-thailand/
    Stoitzner, N. M. U. (2020). The effect of different types of online reviews on Instagram regarding users’ choice of a restaurant. http://hdl.handle.net/10400.14/29642
    Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online word-of-mouth: an exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11(4), 1104-1127. https://doi.org/10.1111/j.1083-6101.2006.00310.x
    Sweeney, J. C., & Soutar, G. (2001). Consumer Perceived Value: The Development of a Multiple Item Scale. Journal of Retailing, 77(2), 203-220. https://doi.org/10.1016/S0022-4359(01)00041-0
    Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1999). The role of perceived risk in the quality-value relationship: A study in a retail environment. Journal of Retailing, 75(1), 77–105.
    Taiwan Network Information Center. (2020). Overall internet usage. TWNIC. https://report.twnic.tw/2020/en/TrendAnalysis_internetUsage.html
    Tanthaphruekphon, T. (2018). How online food photos on Instagram Influence Thai customers’ attitude and Perception towards offline Thai Restauaants. Ethesis archive. http://ethesisarchive.library.tu.ac.th/thesis/2018/TU_2018_6002040811_10316_9982.pdf
    Taylor, S. A., & Baker, T.L. (1994). An Assessment of the Relationship between Service Quality and Customer Satisfaction in Formation of Consumers’ Purchase Intentions. Journal of Retailing, 70, 163-178. https://doi.org/10.1016/0022-4359(94)90013-2
    Tian, G., Lu, L., & McIntosh, C. (2021). What factors affect consumers’ dining sentiments and their ratings: Evidence from restaurant online review data. Food Quality and Preference 88, 104060. https://doi.org/10.1016/j.foodqual.2020.104060
    Till, B.D., & Busler, M. (2000). The match-up hypothesis: Physical attractiveness, expertise, and the role of fit on Brand attitude, purchase intent and Brand beliefs. Journal of Advertising, 29(3), 1–13.
    Tussyadiah, I.P., & Fesenmaier, D.R. (2008). Marketing Places Through Firstperson Stories—An Analysis of Pennsylvania Roadtripper Blog. Journal of Travel & Tourism Marketing, 25, (3-4), Geography and Tourism Marketing, 299-311. https://doi.org/10.1080/10548400802508358
    Utz, S., Kerkhof, P., & Bos, J.V.D. (2011). Consumers rule: How consumer review influence perceived trustworthiness of online stores. Electronic Commerce Research and Applications 11(1), 49–58. https://doi.org/10.1016/j.elerap.2011.07.010
    Uzunoğlu, E., & Kip, S.M. (2014). Brand communication through digital influencers: Leveraging blogger engagement. International Journal of Information Management, 34 (5). 592–602.
    Veirman, M, D., Cauberghe, V., & Hudders, L. (2017). Marketing through instagram influencers: the impact of number of followers and product divergence on Brand attitude. International Journal of Advertising, 36(5), 798–828.
    Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123–127. https://doi.org/ 10.1016/j.tourman.2008.04.008
    Viens, A. (2019, October 2). Social media use by generation. World economic forum. https://www.weforum.org/agenda/2019/10/social-media-use-by-generation/
    Wan-Ruzanna, W., Zaileen-Elina, A., Roslina, A. & Wan-Mahirah, W. (2015). Food Blog: Examining the Blog Trustworthiness and Purchase Intention Behavior, in Theory and Practice in Hospitality and Tourism Research, Radzi, S., Bakhtiar, M., Mohi, Z., Zahari, M., Sumarjan, N., Chik, C., Anuar, F., (Eds.), Taylor and Francis Group, London.
    Winer, R.S., & Fader, P.S. (2016). Objective vs. Online Ratings: Are Low Correlations Unexpected and Does It Matter? A Commentary on de Langhe, Fernbach, and Lichtenstein. Journal of Consumer Research, 42(6), 846–849. https://doi.org/10.1093/jcr/ucv092
    Wood, C.M., & Scheer, L.K. (1996). Incorporating Perceived Risk Into Models of Consumer Deal Assessment and Purchase Intent. In: Corfman, K.P., & Lynch Jr, J.G. (Ed.), Advances in Consumer Research 23: (pp. 399-404). Association for Consumer Research, Provo.
    Yan, X., Wang, J., & Chau, M. (2015). Customer revisit intention to restaurants: Evidence from online reviews. Information Systems Frontiers, 17(3), 645–657.
    Yoon, B., & Chung, Y. (2018) Consumer Attitude and Visit Intention toward Food-Trucks: Targeting Millennials. Journal of Foodservice Business Research, 21(2), 187-199. https://doi.org/10.1080/15378020.2017.1368807

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