리뷰의 지각된 가짜성에 대한 마케팅적 접근
A Marketing Approach for Perceived Fakeness of Reviews
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참고문헌
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초록
소비자가 작성한 온라인 리뷰의 역할이 증가하고 있다. 이와 함께 기업에서 대가를 받고 상품이나 서비스를 직접 경험하지 않고 작성한 가짜리뷰가 등장하였다. 가짜리뷰는 소비자가 제품의 품질을 실제와 다르게 평가하는데 영향을 미치고, 상대 기업의 평판을 훼손할 수 있다. 하지만 가짜리뷰를 탐지하려는 노력에도 불구하고 실제로 가짜리뷰를 찾아서 제거하는 비율은 매우 낮다. 소비자가 리뷰를 읽은 후 가짜리뷰라고 인지하는 것을 ‘리뷰의 지각된 가짜성’이라고 한다. 선행연구에서는 리뷰어의 과거 평점과 리뷰어 전문성이 리뷰의 지각된 가짜성에 미치는 영향을 고찰하였다. 하지만 리뷰의 지각된 가짜성 연구는 아직까지 초기 단계에 있으며, 리뷰의 지각된 가짜성이 소비자의 행동의도에 미치는 메커니즘을 제시한 연구는 아직 진행되지 않았다. 본 연구는 소비자의 지각된 가짜성이 리뷰 유용성과 방문의도에 미치는 메커니즘을 규명하려는 연구 문제를 화두로 진행되었다. 연구를 통해 리뷰의 지각된 가짜성이 높을수록 리뷰 콘텐츠 신뢰도에 부정적인 영향을 주고, 낮은 리뷰 콘텐츠 신뢰도는 소비자의 레스토랑 방문의도를 감소시킨다는 것이 밝혀졌다. 또한, 리뷰의 지각된 가짜성이 레스토랑의 방문의도에 미치는 영향을 리뷰 콘텐츠 신뢰도와 리뷰 유용성이 완전매개함을 보여주었다. 즉, 리뷰의 지각된 가짜성이 높을수록 리뷰 콘텐츠 신뢰도는 낮아지고, 낮은 리뷰 콘텐츠 신뢰도는 리뷰 유용성을 감소시키며, 이를 통해 레스토랑의 방문의도가 감소하였다. 본 연구는 리뷰의 지각된 가짜성이 행동의도에 미치는 메커니즘을 규명한 첫 번째 논문으로, 리뷰의 지각된 가짜성이 리뷰 콘텐츠 신뢰도, 리뷰 유용성, 방문의도로 이어지는 직렬다중매개효과를 확인하였다는 점에서 의의가 있다.
Abstract
Consumer reviews are becoming significant in consumer’s purchasing decisions. In recent years, fake reviews have appeared that such reviews do not reflect genuine consumer experiences but are rather posted for endorsing products or services after receiving compensations. Fake reviews do not provide an actual representation of the product’s quality which can be misleading to consumers and damage competitor company’s reputations. Despite recent attempts to improve verifications, the detection rate of fake reviews is very low. From a consumer’s perspective, an impression of one’s fakeness perception toward a review is ‘perceived fakeness of reviews.’ Recent research finds the effect of the reviewer’s historical ratings and their expertise on the perceived fakeness of reviews. However, given the very limited perspective from existing literature, not much of investigation have been performed on the mechanism of how they would affect the consumer’s behavioral intention. The current study demonstrates the underlying mechanism of the perceived fakeness of reviews on visit intention through online review usefulness. The result suggests that the perceived fakeness of reviews decreases review content credibility, resulting in a negative impact on restaurant visit intention. Moreover, review content credibility and online review usefulness fully mediate the relationship between the perceived fakeness of reviews and restaurant visit intention. Thus, reviews that are perceived as fakeness would lower review content credibility and subsequently decrease online review usefulness, which leads to the negative impact on restaurant visit intention. This study is the first to approach the serial multiple mediation effect of the perceived fakeness of reviews on behavioral intention, addressing the role of review content credibility and online review usefulness.
참고문헌 (98)
- 김기중, "온라인 소비자 리뷰의 법률문제: 소비자의 표현의 자유와 사업자의 명예보호 및 인터넷 사업자의 책임 사이의 충돌 문제를 중심으로", 언론과 법, 14(2), pp.63~98 (2015), (사)한국언론법학회
- 류성열, "온라인 리뷰의 유희적 및 실용적 요인이 온라인 리뷰 수용에 미치는 영향", 물류학회지, 27(1), pp.151~161 (2017), 한국물류학회
- 박윤주, "소비자의 특성이 온라인 상품평 활용의도에 미치는 영향", 한국IT서비스학회지, 16(2), pp.21~32 (2017), 한국IT서비스학회[DOI]
- 박탄우, "SNS상의 온라인 구전의 정보처리과정에 관한 통합모형의 개발에 관한 연구", 광고연구, (100), pp.172~224 (2014), 한국광고홍보학회
- 서지영, "소비자들은 언제 온라인 리뷰를 가짜리뷰라고 지각할까?", 상품학연구, 39(2), pp.1~10 (2021), 한국상품학회[DOI]
- 소현진, "신뢰받는 블로그 콘텐츠의 특성 탐구 : 파워블로그의 사용후기분석과 소비자 조사를 통하여", 한국콘텐츠학회 논문지, 13(1), pp.73~82 (2013), 한국콘텐츠학회[DOI]
- 유병호, "레스토랑 리뷰 속성의 소셜미디어 신뢰도 및 행동의도에 대한 효과", 관광레저연구, 30(5), pp.77~96 (2018), (사)한국관광레저학회
- 장형유, "상품후기 플랫폼에서 리뷰품질과 리뷰어 특성이 구매의도에 미치는 영향: 지각된 진실성과 유용성의 매개효과 및 쿠폰의 조절효과에 초점을 두어", 고객만족경영연구, 20(3), pp.27~47 (2018), 한국고객만족경영학회[DOI]
- "본인이 잘못 주문하고 별점 테러 … 배달 늘자 업주는 속앓이" (2021), 중앙일보[URL]
- "”요기요·G마켓에 가짜 리뷰 올려드립니다"…쉿! 8000원의 '은밀한 제안'" (2020), 한국경제[URL]
- 허성혜, "온라인 리뷰 수용에 영향을 미치는 요인 : 온라인 리뷰 품질과 동의성을 중심으로", Journal of Information Technology Applications & Management, 16(4), pp.41~58 (2009), 한국데이터전략학회
- Bae, S., "Product Type and Consumers’ Perception of Online Consumer Reviews", Electronic Markets, 21(4), pp.255~266 (2011)
- Baek, H., "Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues", International Journal of Electronic Commerce, 17(2), pp.99~126 (2012)
- Banerjee, S., "A Theoretical Framework to Identify Authentic Online Reviews", Online Information Review, 38(5), pp.634~649 (2014)
- Banerjee, S., "Applauses in Hotel Reviews: Genuine or Deceptive?", Science and Information Conference, pp.938~942 (2014)
- Bradley, G. L., "The Stress of Anonymous Online Reviews : A Conceptual Model and Research Agenda", International Journal of Contemporary Hospitality Management, 27(5), pp.739~755 (2015)
- Carbonell, G., "The Impact of Emotionality and Trust Cues on the Perceived Trustworthiness of Online Reviews", Cogent Business and Management, 6(1), pp.1586062~ (2019)
- Carley, K., "A Theory of Group Stability", American Sociological Review, 56(3), pp.331~354 (1991)
- Chakraborty, U., "Perceived Credibility of Online Hotel Reviews and Its Impact on Hotel Booking Intentions", International Journal of Contemporary Hospitality Management, 31(9), pp.3465~3483 (2019)
- Chen, Y., "Online Consumer Review : Word-of-Mouth as a New Element of Marketing Communication Mix", Management Science, 54(3), pp.477~491 (2008)
- Cheng, L. C., "Case Study of Fake Web Reviews", The 2017 IEEE, 2017, 706~709
- Cheung, C. M. K., "The Impact of Electronic Word-of-Mouth Communication : A Literature Analysis and Integrative Model", Decision Support Systems, 54(1), pp.461~470 (2012)
- Cheung, C. M. K., "The Impact of Electronic Word-of-Mouth : The Adoption of Online Opinions in Online Customer Communities", Internet Research, 18(3), pp.229~247 (2008)
- Cheung, M. Y., "Credibility of Electronic Word-of-Mouth : Informational and Normative Determinants of On-line Consumer Recommendations", International Journal of Electronic Commerce, 13(4), pp.9~38 (2009)
- Chevalier, J. A., "The Effect of Word of Mouth on Sales : Online Book Reviews", Journal of Marketing Research, 43(3), pp.345~354 (2006)
- Chih, W. H., "Investigating Electronic Word-of-Mouth Effects on Online Discussion Forums : The Role of Perceived Positive Electronic Word-of-Mouth Review Credibility", Cyberpsychology, Behavior, and Social Networking, 16(9), pp.658~668 (2013)
- Cho, M. H., "Information Value Structure for Vacation Travel", Journal of Travel Research, 47(1), pp.72~83 (2008)
- Choi, S., "The Role of Power and Incentives in Inducing Fake Reviews in the Tourism Industry", Journal of Travel Research, 56(8), pp.975~987 (2017)
- Chu, W., "The Effect of the Dispersion of Review Ratings on Evaluations of Hedonic Versus Utilitarian Products", International Journal of Electronic Commerce, 19(2), pp.95~125 (2015)
- Chua, A. Y., "Reliability of Reviews on the Internet: The Case of TripAdvisor", World Congress on Engineering & Computer Science, pp.23~25 (2013)
- Crawford, M., "Survey of Review Spam Detection Using Machine Learning Techniques", Journal of Big Data, 2(1), pp.1~24 (2015)
- Currall, S. C., "Measuring Trust between Organizational Boundary Role Persons", Organizational Behavior and Human Decision Processes, 64(2), pp.151~170 (1995)
- "Six Degrees of Reputation: The Use and Abuse of Online Review and Recommendation Systems" (2006)[URL]
- Fan, Y. W., "Establishing the Adoption of Electronic Word-of-Mouth through Consumers' Perceived Credibility", International Business Research, 6(3), pp.58~65 (2013)
- Fang, B., "Analysis of the Perceived Value of Online Tourism Reviews : Influence of Readability and Reviewer Characteristics", Tourism Management, 52, pp.498~506 (2016)
- Filieri, R., "What Makes Online Reviews Helpful? A Diagnosticity-adoption Framework to Explain Informational and Normative Influences in e-WOM", Journal of Business Research, 68(6), pp.1261~1270 (2015)
- Filieri, R., "What Makes Information in Online Consumer Reviews Diagnostic Over Time? The Role of Review Relevancy, Factuality, Currency, Source Credibility and Ranking Score", Computers in Human Behavior, 80, pp.122~131 (2018)
- Filieri, R., "Consumer Perceptions of Information Helpfulness and Determinants of Purchase Intention in Online Consumer Reviews of Services", Information & Management, 55, pp.956~970 (2018)
- Flanagin, A. J., "Perceptions of Internet Information Credibility", Journalism and Mass Communication Quarterly, 77(3), pp.515~540 (2000)
- Forrest, E., "Opinions, Recommendations and Endorsements : The New Regulatory Framework for Social Media", Journal of Business and Policy Research, 5(2), pp.88~99 (2010)
- Gershoff, A. D., "Consumer Acceptance of Online Agent Advice: Extremity and Positivity Effects", Journal of Consumer Psychology, 13(1-2), pp.161~170 (2003)
- Hancock, J. T., "The Oxford Handbook of Internet Psychology" (2007), Oxford University Press
- Hayes, A. F., "Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach" (2013), Guilford Publications
- Hayes, R. A., "Does Being Social Matter? Effects of Enabled Commenting on Credibility and Brand Attitude in Social Media", Journal of Promotion Management, 21(3), pp.371~390 (2015)
- Hennig-Thurau, T., "Electronic Word-of-Mouth : Motives for and Consequences of Reading Customer Articulations on the Internet", International Journal of Electronic Commerce, 8(2), pp.51~74 (2003)
- Heydari, A., "Detection of Review Spam : A Survey", Expert Systems with Applications, 42(7), pp.3634~3642 (2015)
- Hsu, F. M., "Design and Implementation of an Intelligent Recommendation System for Tourist Attractions : The Integration of EBM Model, Bayesian Network and Google Maps", Expert Systems with Applications, 39(3), pp.3257~3264 (2012)
- Hu, N., "Do Online Reviews Affect Product Sales? The Role of Reviewer Characteristics and Temporal Effects", Information Technology and Management, 9(3), pp.201~214 (2008)
- Huang, M., "Making Your Online Voice Loud : The Critical Role of WOM Information", European Journal of Marketing, 45(7), pp.1277~1297 (2011)
- Huang, A. H., "A Study of Factors that Contribute to Online Review Helpfulness", Computers in Human Behavior, 48, pp.17~27 (2015)
- Jensen, M. L., "Credibility of Anonymous Online Product Reviews : A Language Expectancy Perspective", Journal of Management Information Systems, 30(1), pp.293~324 (2013)
- Jessen, J., "Aggregated Trustworthiness : Redefining Online Credibility through Social Validation", First Monday, 17, pp.1~2 (2012)
- Jindal, N., "Opinion Spam and Analysis", 2008 International Conference on Web Search and Data Mining, pp.219~230 (2008)
- Ketron, S., "Investigating the Effect of Quality of Grammar and Mechanics(QGAM)in Online Reviews : The Mediating Role of Reviewer Credibility", Journal of Business Research, 81, pp.51~59 (2017)
- Kim, D. Y., "Influencer Advertising on Social Media: The Multiple Inference Model on Influencer-Product Congruence and Sponsorship Disclosure", Journal of Business Research, 130, pp.405~415 (2020)
- Korfiatis, N., "Evaluating Content Quality and Helpfulness of Online Product Reviews: The Interplay of Review Helpfulness vs. Review Content", Electronic Commerce Research and Applications, 11(3), pp.205~217 (2012)
- Li, L., "Unveiling the Cloak of Deviance: Linguistic Cues for Psychological Processes in Fake Online Reviews", International Journal of Hospitality Management, 87, pp.102468~ (2020)
- Lim, Y. S., "Evaluating the Wisdom of Strangers : The Perceived Credibility of Online Consumer Reviews on Yelp", Journal of Computer-Mediated Communication, 20(1), pp.67~82 (2015)
- Liu, Y., "Word of Mouth for Movies : Its Dynamics and Impact on Box Office Revenue", Journal of Marketing, 70(3), pp.74~89 (2006)
- Liu, Y., "Modeling and Predicting the Helpfulness of Online Reviews", 2008 8th IEEE International Conference on Data Mining, pp.443~452 (2008)
- Liu, Z., "What Makes a Useful Online Review? Implication for Travel Product Websites", Tourism Management, 47, pp.140~151 (2015)
- Luca, M., "Fake it till You Make It : Reputation, Competition, and Yelp Review Fraud", Management Science, 62(12), pp.3412~3427 (2016)
- Lynch Jr, J. G., "Wine Online : Search Costs Affect Competition on Price, Quality, and Distribution", Marketing Science, 19(1), pp.83~103 (2000)
- Mayer, R. C., "An Integrative Model of Organizational Trust", Academy of Management Review, 20(3), pp.709~734 (1995)
- McKnight, D. H., "The Impact of Initial Consumer Trust on Intentions to Transact with a Web Site: A Trust Building Model", The Journal of Strategic Information Systems, 11(3-4), pp.297~323 (2002)
- Mrudula, P., "A Survey on Challenges and Opportunistic Spotting Fake Reviewer Groups in Consumer Reviews", International Journal of Scientific Research in Computer, 3(1), pp.71~76 (2018)
- Mudambi, S. M., "Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon. Com", MIS Quarterly, pp.185~200 (2010)
- Mukherjee, A., "What Yelp Fake Review Filter Might Be Doing?", International AAAI Conference on Web and Social Media, 7(1), pp.409~418 (2013)
- Neirotti, P., "Are Customers’ Reviews Creating Value in the Hospitality Industry? Exploring the Moderating Effects of Market Positioning", International Journal of Information Management, 36(6), pp.1133~1143 (2016)
- "Amazon Glitch Unmasks War of Reviewers" (2004)[URL]
- Plotkina, D., "Illusions of Truth—Experimental Insights into Human and Algorithmic Detections of Fake Online Reviews", Journal of Business Research, 109, pp.511~523 (2018)
- Ponte, E. B., "Influence of Trust and Perceived Value on the Intention to Purchase Travel Online : Integrating the Effects of Assurance on Trust Antecedents", Tourism Management, 47, pp.286~302 (2015)
- Qiu, L., "Effects of Conflicting Aggregated Rating on eWOM Review Credibility and Diagnosticity : The Moderating Role of Review Valence", Decision Support Systems, 54(1), pp.631~643 (2012)
- Ratchford, B. T., "The Impact of the Internet on Information Search for Automobiles", Journal of Marketing Research, 40(2), pp.193~209 (2003)
- Reyes-Menendez A., "The Importance of Behavioral Data to Identify Online Fake Reviews for Tourism Businesses: A Systematic Review", PeerJ Computer Science, 5, pp.e219~ (2019)
- Reyes-Menendez A., "Impact of e-WOM on Hotels Management Reputation: Exploring TripAdvisor Review Credibility with the ELM Model", IEEE Access, 7, pp.68868~68877 (2019)
- Rieh, S. Y., "Judgment of Information Quality and Cognitive Authority in the Web", Journal of the American Society for Information Science and Technology, 53(2), pp.145~161 (2002)
- Sallam, M. A. A., "Endorser Credibility Effects on Yemeni Male Consumer's Attitudes towards Advertising, Brand Attitude and Purchase Intention : The Mediating Role of Attitude toward Brand", International Business Research, 5(4), pp.55~66 (2012)
- Schuckert, M., "Hospitality and Tourism Online Reviews : Recent Trends and Future Directions", Journal of Travel & Tourism Marketing, 32(5), pp.608~621 (2015)
- Sen, S., "Why Are you Telling Me This? An Examination into Negative Consumer Reviews on the Web", Journal of Interactive Marketing, 21(4), pp.76~94 (2007)
- Šerić, M., "Consumer-Generated Reviews on Social Media and Brand Relationship Outcomes in the Fast-Food Chain Industry", Journal of Hospitality Marketing & Management, 27(2), pp.218~238 (2018)
- Stubb, C., "This is Not Sponsored Content-The Effects of Impartiality Disclosure and E-commerce Landing Pages on Consumer Responses to Social Media Influencer Posts", Computers in Human Behavior, 98, pp.210~222 (2019)
- Sussman, S. W., "Informational Influence in Organizations : An Integrated Approach to Knowledge Adoption", Information Systems Research, 14(1), pp.47~65 (2003)
- Tang, R., "Automatically Predicting Information Quality in News Documents", Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, pp.97~99 (2003)
- Wang, G., "Identify Online Store Review Spammers via Social Review Graph", ACM Transactions on Intelligent Systems and Technology, 3(4), pp.1~21 (2012)
- Wang, P., "Disentangling the Factors Driving Electronic Word-of-Mouth Use through a Configurational Approach", Internet Research, 30(3), pp.925~943 (2020)
- Weathers, D., "Can Online Product Reviews Be More Helpful? Examining Characteristics of Information Content by Product Type", Decision Support Systems, 79, pp.12~23 (2015)
- Wilson, E. J., "Source Effects in Communication and Persuasion Research : A Meta-Analysis of Effect Size", Journal of the Academy of Marketing Science, 21(2), pp.101~112 (1993)
- Wixom, B. H., "A Theoretical Integration of User Satisfaction and Technology Acceptance", Information Systems Research, 16(1), pp.85~102 (2005)
- Wu, C. W., "Foreign Tourists' Intentions in Visiting Leisure Farms", Journal of Business Research, 68(4), pp.757~762 (2015)
- Wu, J., "Review Popularity and Review Helpfulness : A Model for User Review Effectiveness", Decision Support Systems, 97, pp.92~103 (2017)
- Wu, Y., "Fake Online Reviews : Literature Review, Synthesis, and Directions for Future Research", Decision Support Systems, 132, pp.113280~ (2020)
- Xu, Q., "Should I Trust Him? The Effects of Reviewer Profile Characteristics on eWOM Credibility", Computers in Human Behavior, 33, pp.136~144 (2014)
- Ye, Q., "The Influence of User-Generated Content on Traveler Behavior : An Empirical Investigation on the Effects of e-Word-of-Mouth to Hotel Online Bookings", Computers in Human behavior, 27(2), pp.634~639 (2011)
- Yin, D., "Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews", MIS Quarterly, 38(2), pp.539~560 (2014)
- Zaheer, A., "Does Trust Matter? Exploring the Effects of Interorganizational and Interpersonal Trust on Performance", Organization Science, 9(2), pp.141~159 (1998)
- Zhou, S., "The Order Effect on Online Review Helpfulness : A Social Influence Perspective", Decision Support Systems, 93, pp.77~87 (2017)
- Zhu, J., "Effectiveness of Blog Advertising: Impact of Communicator Expertise, Advertising Intent, and Product Involvement", ICIS 2007, pp.121~ (2007)
