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The Interactions of Customer Reviews and Price and Their Dual Roles in Conveying Quality Information

Author

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  • Yuxin Chen

    (NYU Shanghai, Shanghai 200124, China)

  • Jinzhao Du

    (Faculty of Business and Economics, The University of Hong Kong, Hong Kong, China)

  • Ying Lei

    (NYU Shanghai, Shanghai 200124, China)

Abstract

Customer reviews help communicate product information, but their effectiveness may suffer from selection bias (i.e., depending on factors, such as the individual experience and price, not all consumers may voluntarily write reviews). Consequently, a seller may have to resort to additional means (e.g., signaling through price in the context of an experience good) to convey its quality. This paper develops an analytical model to investigate the interaction of customer reviews and price with the presence of selection bias in marketing an experience good with uncertain quality to consumers. Our analysis reveals the dual roles played by both customer reviews and price in communicating quality information. On one hand, customer reviews may either directly convey product information with unbiased distribution of reviews or facilitate price signaling when reviews are biased because of selection. On the other hand, price may be adjusted to mitigate the selection bias of reviews to make them more informative, and it may also signal quality directly in the presence of review bias. As a result, we show that bias in reviews may actually benefit consumers without compromising information communication as the incentive to reduce review selection bias makes it credible and profitable for the high-quality seller to signal its type by undercutting the price that would be set if it is of low quality. We then extend our analysis to examine the information, profits, and welfare impacts of several important design elements of a review system as well as the impact of consumers’ aversion to risk. Finally, the implications of our findings on the management of user-generated content and pricing are discussed.

Suggested Citation

  • Yuxin Chen & Jinzhao Du & Ying Lei, 2025. "The Interactions of Customer Reviews and Price and Their Dual Roles in Conveying Quality Information," Marketing Science, INFORMS, vol. 44(1), pages 155-175, January.
  • Handle: RePEc:inm:ormksc:v:44:y:2025:i:1:p:155-175
    DOI: 10.1287/mksc.2022.0380
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    References listed on IDEAS

    as
    1. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    2. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
    3. Hao Zhao, 2000. "Raising Awareness and Signaling Quality to Uninformed Consumers: A Price-Advertising Model," Marketing Science, INFORMS, vol. 19(4), pages 390-396, January.
    4. Zhang, Chong & Yu, Man & Chen, Jian, 2022. "Signaling quality with return insurance: Theory and empirical evidence," Other publications TiSEM 184da313-a89e-4a81-9f23-c, Tilburg University, School of Economics and Management.
    5. Andrey Fradkin & Elena Grewal & David Holtz, 2021. "Reciprocity and Unveiling in Two-Sided Reputation Systems: Evidence from an Experiment on Airbnb," Marketing Science, INFORMS, vol. 40(6), pages 1013-1029, November.
    6. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    7. Michael Luca, 2011. "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Papers 12-016, Harvard Business School, revised Mar 2016.
    8. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    9. Christoph Carnehl & André Stenzel & Peter Schmidt, 2024. "Pricing for the Stars: Dynamic Pricing in the Presence of Rating Systems," Management Science, INFORMS, vol. 70(3), pages 1755-1772, March.
    10. Bagwell, Kyle & Riordan, Michael H, 1991. "High and Declining Prices Signal Product Quality," American Economic Review, American Economic Association, vol. 81(1), pages 224-239, March.
    11. Hülya Karaman, 2021. "Online Review Solicitations Reduce Extremity Bias in Online Review Distributions and Increase Their Representativeness," Management Science, INFORMS, vol. 67(7), pages 4420-4445, July.
    12. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    13. Michael Luca & Oren Reshef, 2021. "The Effect of Price on Firm Reputation," Management Science, INFORMS, vol. 67(7), pages 4408-4419, July.
    14. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    15. Kenneth L. Judd & Michael H. Riordan, 1994. "Price and Quality in a New Product Monopoly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 773-789.
    16. In-Koo Cho & David M. Kreps, 1987. "Signaling Games and Stable Equilibria," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 179-221.
    17. Asher Wolinsky, 1983. "Prices as Signals of Product Quality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(4), pages 647-658.
    18. Günter J. Hitsch, 2006. "An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty," Marketing Science, INFORMS, vol. 25(1), pages 25-50, 01-02.
    19. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    20. Dmitri Kuksov & Ying Xie, 2010. "Pricing, Frills, and Customer Ratings," Marketing Science, INFORMS, vol. 29(5), pages 925-943, 09-10.
    21. Banks, Jeffrey S & Sobel, Joel, 1987. "Equilibrium Selection in Signaling Games," Econometrica, Econometric Society, vol. 55(3), pages 647-661, May.
    22. Chong Zhang & Man Yu & Jian Chen, 2022. "Signaling Quality with Return Insurance: Theory and Empirical Evidence," Management Science, INFORMS, vol. 68(8), pages 5847-5867, August.
    23. Yu‐Hung Chen & Baojun Jiang, 2021. "Dynamic Pricing and Price Commitment of New Experience Goods," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2752-2764, August.
    24. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    25. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
    26. Nicholas I. Fisher & Raymond E. Kordupleski, 2019. "Good and bad market research: A critical review of Net Promoter Score," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(1), pages 138-151, January.
    27. Preyas S. Desai & Oded Koenigsberg & Devavrat Purohit, 2007. "Research Note--The Role of Production Lead Time and Demand Uncertainty in Marketing Durable Goods," Management Science, INFORMS, vol. 53(1), pages 150-158, January.
    28. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
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    1. Xiao, Lei & Dong, Ruixiao, 2026. "When should sellers offer rebates for consumer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 90(C).

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