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The effects of 3rd party consensus information on service expectations and online trust

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  • Benedicktus, Ray L.

Abstract

The marketing literature has recently explored a number of ways in which trust can be communicated by Internet retailers, including 3rd party consensus ratings. This paper explores the impact of consensus sequences over time and across high and low ranges, rather than the mere valence of ratings as presented in past research. Second, effects are compared across products with variant levels of risk. Two experiments investigate service quality inferences, expected satisfaction, and trust beliefs for online retailers as outcomes of 3rd party consensus information (i.e., agreement among a firm's past customers). Results indicate that online trust beliefs vary positively with consensus ratings and trust is higher when ratings trends increase rather than decrease. Service quality inferences and expected satisfaction are shown to mediate these relationships. More interestingly, results of study two suggest sequence direction becomes insignificant when ratings do not approach certain range limits (e.g., high, moderate, low cut-offs). Comparisons across products varying in risk show that consensus ratings are more important when consumers evaluate high risk products. Implications for both researchers and practitioners are offered.

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  • Benedicktus, Ray L., 2011. "The effects of 3rd party consensus information on service expectations and online trust," Journal of Business Research, Elsevier, vol. 64(8), pages 846-853, August.
    • Handle: RePEc:eee:jbrese:v:64:y:2011:i:8:p:846-853
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    1. Shiv, Baba & Huber, Joel, 2000. "The Impact of Anticipating Satisfaction on Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 202-216, September.
    2. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
    3. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    4. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    5. Kalamas, Maria & Laroche, Michel & Makdessian, Lucy, 2008. "Reaching the boiling point: Consumers' negative affective reactions to firm-attributed service failures," Journal of Business Research, Elsevier, vol. 61(8), pages 813-824, August.
    6. Zourrig, Haithem & Chebat, Jean-Charles & Toffoli, Roy, 2009. "Consumer revenge behavior: A cross-cultural perspective," Journal of Business Research, Elsevier, vol. 62(10), pages 995-1001, October.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Katherine J. Stewart, 2003. "Trust Transfer on the World Wide Web," Organization Science, INFORMS, vol. 14(1), pages 5-17, February.
    9. Senecal, Sylvain & Kalczynski, Pawel J. & Nantel, Jacques, 2005. "Consumers' decision-making process and their online shopping behavior: a clickstream analysis," Journal of Business Research, Elsevier, vol. 58(11), pages 1599-1608, November.
    10. Williamson, Oliver E, 1993. "Calculativeness, Trust, and Economic Organization," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 453-486, April.
    11. Cynthia G. McDonald & V. Carlos Slawson, 2002. "Reputation in An Internet Auction Market," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 633-650, October.
    12. Benedicktus, Ray L. & Brady, Michael K. & Darke, Peter R. & Voorhees, Clay M., 2010. "Conveying Trustworthiness to Online Consumers: Reactions to Consensus, Physical Store Presence, Brand Familiarity, and Generalized Suspicion," Journal of Retailing, Elsevier, vol. 86(4), pages 322-335.
    13. Leisen, Birgit & Hyman, Michael R., 2004. "Antecedents and consequences of trust in a service provider: The case of primary care physicians," Journal of Business Research, Elsevier, vol. 57(9), pages 990-999, September.
    14. Paul A. Pavlou & David Gefen, 2005. "Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role," Information Systems Research, INFORMS, vol. 16(4), pages 372-399, December.
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    2. Filieri, Raffaele & Lin, Zhibin & Pino, Giovanni & Alguezaui, Salma & Inversini, Alessandro, 2021. "The role of visual cues in eWOM on consumers’ behavioral intention and decisions," Journal of Business Research, Elsevier, vol. 135(C), pages 663-675.
    3. Munzel, Andreas, 2016. "Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 96-108.
    4. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    5. Wenlong Liu & Rongrong Ji, 2018. "Examining the Role of Online Reviews in Chinese Online Group Buying Context: The Moderating Effect of Promotional Marketing," Social Sciences, MDPI, vol. 7(8), pages 1-17, August.
    6. Könsgen, Raoul & Schaarschmidt, Mario & Ivens, Stefan & Munzel, Andreas, 2018. "Finding Meaning in Contradiction on Employee Review Sites — Effects of Discrepant Online Reviews on Job Application Intentions," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 165-177.
    7. Jiménez, Fernando R. & Mendoza, Norma A., 2013. "Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products," Journal of Interactive Marketing, Elsevier, vol. 27(3), pages 226-235.
    8. Thaichon, Paramaporn & Lobo, Antonio & Prentice, Catherine & Quach, Thu Nguyen, 2014. "The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1047-1058.
    9. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.

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