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Underpromise and overdeliver? - Online product reviews and firm pricing

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  • Martin, Simon
  • Shelegia, Sandro

Abstract

We consider a signaling model capturing the introductory and the mature phase of a product. Information concerning product quality is transmitted between consumers through reviews, which partially depend on the expectations consumers had prior to their purchase. When future sales are sufficiently important, a novel tension arises: High-quality types may want to underpromise and overdeliver by imitating low types in order to get a better review. We show the existence of a Pareto-improving separating equilibrium. Both more informative reviews and price transparency can lead to higher prices. Our analysis reveals a new rationale for loss-leadership.

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  • Martin, Simon & Shelegia, Sandro, 2021. "Underpromise and overdeliver? - Online product reviews and firm pricing," International Journal of Industrial Organization, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:indorg:v:79:y:2021:i:c:s0167718721000680
    DOI: 10.1016/j.ijindorg.2021.102775
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    1. Bruno Jullien & In-Uck Park, 2014. "New, Like New, or Very Good? Reputation and Credibility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1543-1574.
    2. 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.
    3. 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.
    4. André Stenzel & Christoph Wolf & Peter Schmidt, 2020. "Pricing for the Stars Dynamic Pricing in the Presence of Rating Systems," CRC TR 224 Discussion Paper Series crctr224_2020_143, University of Bonn and University of Mannheim, Germany.
    5. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    6. Paul Klemperer, 1987. "Markets with Consumer Switching Costs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 375-394.
    7. Carl Shapiro, 1983. "Optimal Pricing of Experience Goods," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 497-507, Autumn.
    8. John K.-H. Quah & Bruno Strulovici, 2009. "Comparative Statics, Informativeness, and the Interval Dominance Order," Econometrica, Econometric Society, vol. 77(6), pages 1949-1992, November.
    9. Janssen, Maarten C.W. & Roy, Santanu, 2010. "Signaling quality through prices in an oligopoly," Games and Economic Behavior, Elsevier, vol. 68(1), pages 192-207, January.
    10. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    11. 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.
    12. David Dranove & Ginger Zhe Jin, 2010. "Quality Disclosure and Certification: Theory and Practice," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 935-963, December.
    13. Michael Anderson & Jeremy Magruder, 2012. "Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database," Economic Journal, Royal Economic Society, vol. 122(563), pages 957-989, September.
    14. Dmitri Kuksov & Ron Shachar & Kangkang Wang, 2013. "Advertising and Consumers' Communications," Marketing Science, INFORMS, vol. 32(2), pages 294-309, March.
    15. Lal, Rajiv & Matutes, Carmen, 1994. "Retail Pricing and Advertising Strategies," The Journal of Business, University of Chicago Press, vol. 67(3), pages 345-370, July.
    16. 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.
    17. Xiang Hui & Tobias J. Klein & Konrad Stahl, 2021. "When and Why Do Buyers Rate in Online Markets?," CRC TR 224 Discussion Paper Series crctr224_2021_267, University of Bonn and University of Mannheim, Germany.
    18. Anton Sobolev & Konrad Stahl & André Stenzel & Christoph Wolf, 2021. "Strategic Pricing and Ratings," CRC TR 224 Discussion Paper Series crctr224_2021_303, University of Bonn and University of Mannheim, Germany.
    19. Athey, Susan & Levin, Jonathan, 2018. "The value of information in monotone decision problems," Research in Economics, Elsevier, vol. 72(1), pages 101-116.
    20. 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.
    21. Tobias J. Klein & Christian Lambertz & Konrad O. Stahl, 2016. "Market Transparency, Adverse Selection, and Moral Hazard," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1677-1713.
    22. 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.
    23. Xiang Hui & Tobias J. Klein & Konrad Stahl, 2021. "When and Why Do Buyers Rate in Online Markets?," CRC TR 224 Discussion Paper Series crctr224_2021_267v1, University of Bonn and University of Mannheim, Germany.
    24. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    25. Nikhil Vellodi, 2018. "Ratings Design and Barriers to Entry," Working Papers 18-13, NET Institute.
    26. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    27. Axel Stock & Subramanian Balachander, 2005. "The Making of a "Hot Product": A Signaling Explanation of Marketers' Scarcity Strategy," Management Science, INFORMS, vol. 51(8), pages 1181-1192, August.
    28. Grunewald, Andreas & Kräkel, Matthias, 2017. "Advertising as signal jamming," International Journal of Industrial Organization, Elsevier, vol. 55(C), pages 91-113.
    29. Marco Magnani, 2020. "The Economic And Behavioral Consequences Of Online User Reviews," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 263-292, April.
    30. Niu, Baozhuang & Yue, Haoran & Luo, Huajiang & Shang, Weixin, 2019. "Pricing for newly-launched experience products: Free trial or not?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 149-176.
    31. 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.
    32. Luis Cabral, 2016. "Dynamic Pricing in Customer Markets with Switching Costs," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 43-62, April.
    33. Cho, In-Koo & Sobel, Joel, 1990. "Strategic stability and uniqueness in signaling games," Journal of Economic Theory, Elsevier, vol. 50(2), pages 381-413, April.
    34. Albano, Gian Luigi & Lizzeri, Alessandro, 2001. "Strategic Certification and Provision of Quality," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 267-283, February.
    35. Klemperer, Paul D, 1987. "Entry Deterrence in Markets with Consumer Switching Costs," Economic Journal, Royal Economic Society, vol. 97(388a), pages 99-117, Supplemen.
    36. Nikhil Vellodi, 2018. "Ratings Design and Barriers to Entry," Working Papers 18-13, NET Institute.
    37. Praveen K. Kopalle & Donald R. Lehmann, 2006. "Setting Quality Expectations When Entering a Market: What Should the Promise Be?," Marketing Science, INFORMS, vol. 25(1), pages 8-24, 01-02.
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    2. Belleflamme, Paul & Johnen, Johannes, 2023. "Non-Price Strategies of Marketplaces: A Survey," LIDAM Discussion Papers CORE 2023015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

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    More about this item

    Keywords

    Quality signaling; Consumer reviews; Reputation; Loss leadership;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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