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The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews

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  • Cui, Geng
  • Chung, Yuho
  • Peng, Ling
  • Zheng, Wanyi

Abstract

Many sellers provide incentives for online product reviews to influence consumer perceptions and purchase decisions. Although relevant laws require disclosure of such incentives, compliance has been low as sellers fear that it may dampen consumer trust and product sales. We analyze product reviews on Amazon.com and find that reviews with mandatory disclosures by platform are associated with lower product ratings thus have a restraining effect on reviewers, while voluntary disclosures by reviewers lead to higher ratings, thus a potential upward bias due to moral licensing. Regression analyses based on propensity score matching show that in comparison with voluntary disclosures, mandatory disclosures have a positive effect on review helpfulness and sales, thus benefitting both sellers and consumers. These findings provide novel insight into the disclosure of incentives for online product reviews and have broad implications for e-marketing, consumer welfare, and public policy in the platform economy.

Suggested Citation

  • Cui, Geng & Chung, Yuho & Peng, Ling & Zheng, Wanyi, 2022. "The importance of being earnest: Mandatory vs. voluntary disclosure of incentives for online product reviews," Journal of Business Research, Elsevier, vol. 141(C), pages 633-645.
    • Handle: RePEc:eee:jbrese:v:141:y:2022:i:c:p:633-645
    DOI: 10.1016/j.jbusres.2021.11.068
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    References listed on IDEAS

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    1. Sah, Sunita & Malaviya, Prashant & Thompson, Debora, 2018. "Conflict of interest disclosure as an expertise cue: Differential effects due to automatic versus deliberative processing," Organizational Behavior and Human Decision Processes, Elsevier, vol. 147(C), pages 127-146.
    2. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    3. Lingfang (Ivy) Li & Erte Xiao, 2014. "Money Talks: Rebate Mechanisms in Reputation System Design," Management Science, INFORMS, vol. 60(8), pages 2054-2072, August.
    4. Green, Kesten C. & Armstrong, J. Scott, 2012. "Evidence on the effects of mandatory disclaimers in advertising," MPRA Paper 37766, University Library of Munich, Germany.
    5. Luís Cabral & Lingfang (Ivy) Li, 2015. "A Dollar for Your Thoughts: Feedback-Conditional Rebates on eBay," Management Science, INFORMS, vol. 61(9), pages 2052-2063, September.
    6. Kim, Do Yuon & Kim, Hye-Young, 2021. "Influencer advertising on social media: The multiple inference model on influencer-product congruence and sponsorship disclosure," Journal of Business Research, Elsevier, vol. 130(C), pages 405-415.
    7. Daylian M. Cain & George Loewenstein & Don A. Moore, 2011. "When Sunlight Fails to Disinfect: Understanding the Perverse Effects of Disclosing Conflicts of Interest," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(5), pages 836-857.
    8. Ryan Hamilton & Kathleen D. Vohs & Ann L. McGill, 2014. "We'll Be Honest, This Won't Be the Best Article You'll Ever Read: The Use of Dispreferred Markers in Word-of-Mouth Communication," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(1), pages 197-212.
    9. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    10. Michael J. Fishman & Kathleen M. Hagerty, 2003. "Mandatory Versus Voluntary Disclosure in Markets with Informed and Uninformed Customers," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 19(1), pages 45-63, April.
    11. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
    12. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    13. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    14. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    15. Singh, Jaywant & Crisafulli, Benedetta & Quamina, La Toya & Xue, Melanie Tao, 2020. "‘To trust or not to trust’: The impact of social media influencers on the reputation of corporate brands in crisis," Journal of Business Research, Elsevier, vol. 119(C), pages 464-480.
    16. George Loewenstein & Cass R. Sunstein & Russell Golman, 2014. "Disclosure: Psychology Changes Everything," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 391-419, August.
    17. Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
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