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The preference for users to experts in the domain of online product ratings

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  • Essig, Richard A.

Abstract

This paper investigates what happens when consumers are asked to select a product from two product options with opposing opinions: one highly rated by users ratings and the other highly rated by expert ratings. Our first key finding reveals that consumers overwhelmingly prefer user to expert ratings. We find this occurs because consumers base their preferences more on how it feels to use and experience the product, which is more likely to be expressed in user ratings. Accordingly, when the value of experiential attribute information is de-emphasized, consumers gravitate to expert ratings. Finally, the preference for user ratings also decreases if they are based on fewer ratings than expert ratings. Together, this paper makes novel contributions to product ratings research, while also challenging the notion that expertise is the dominant message source attribute.

Suggested Citation

  • Essig, Richard A., 2024. "The preference for users to experts in the domain of online product ratings," Journal of Business Research, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:jbrese:v:173:y:2024:i:c:s0148296323008147
    DOI: 10.1016/j.jbusres.2023.114455
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    1. 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.
    2. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    3. Azer, Jaylan & Anker, Thomas & Taheri, Babak & Tinsley, Ross, 2023. "Consumer-Driven racial stigmatization: The moderating role of race in online consumer-to-consumer reviews," Journal of Business Research, Elsevier, vol. 157(C).
    4. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    5. Joshua J. Clarkson & Chris Janiszewski & Melissa D. Cinelli, 2013. "The Desire for Consumption Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(6), pages 1313-1329.
    6. Holbrook, Morris B, 1999. "Popular Appeal versus Expert Judgments of Motion Pictures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 26(2), pages 144-155, September.
    7. Sangjae Lee & Joon Yeon Choeh, 2016. "The determinants of helpfulness of online reviews," Behaviour and Information Technology, Taylor & Francis Journals, vol. 35(10), pages 853-863, October.
    8. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    9. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    10. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    11. Bart de Langhe & Philip M. Fernbach & Donald R. Lichtenstein, 2016. "Navigating by the Stars: Investigating the Actual and Perceived Validity of Online User Ratings," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 817-833.
    12. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
    13. Jen Shang & Rachel Croson, 2009. "A Field Experiment in Charitable Contribution: The Impact of Social Information on the Voluntary Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(540), pages 1422-1439, October.
    14. 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.
    15. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    16. West, Patricia M & Broniarczyk, Susan M, 1998. "Integrating Multiple Opinions: The Role of Aspiration Level on Consumer Response to Critic Consensus," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 38-51, June.
    17. Ali Faraji-Rad & Bendik M. Samuelsen & Luk Warlop, 2015. "On the Persuasiveness of Similar Others: The Role of Mentalizing and the Feeling of Certainty," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(3), pages 458-471.
    18. Lan Jiang & Joandrea Hoegg & Darren W. Dahl & Amitava Chattopadhyay, 2010. "The Persuasive Role of Incidental Similarity on Attitudes and Purchase Intentions in a Sales Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(5), pages 778-791, February.
    19. Hoch, Stephen J & Ha, Young-Won, 1986. "Consumer Learning: Advertising and the Ambiguity of Product Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 221-233, September.
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