IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i6p1304-d1091300.html
   My bibliography  Save this article

Deterring Sellers’ Cheap Talk Actions via Online Rating Schemes

Author

Listed:
  • Meijian Yang

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Enjun Xia

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Yang Yang

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

This paper develops a two-period game theoretic model to investigate a seller’s quality claims in a cheap-talk setting. In this model, consumers are reference-dependent with respect to product quality, and consumers who have purchased items can share their quality assessments via online ratings; additionally, consumers may be naive or experienced: naive consumers simply believe the quality claims and quality assessments, whereas experienced consumers can accordingly make rational quality inferences. We find that, in the scenario with only naive consumers, when the reference effect is weak, the seller will always claim the highest quality; when the reference effect is strong, the low-quality seller will claim the highest quality, whereas the high-quality seller will understate its products’ quality. In the scenario with only experienced consumers, the seller will claim some moderate quality levels. In the scenario with both types of consumers, in period one, the low-quality seller will always claim some moderate quality levels to serve both types of consumers, whereas the high-quality seller will claim the highest quality when the reference effect is extremely weak and thus serve only naive consumers, or it will adopt truth-telling otherwise; in period two, the low-quality seller will charge a higher price to serve only experienced consumers, whereas the high-quality seller will charge a lower price to serve both types of consumers.

Suggested Citation

  • Meijian Yang & Enjun Xia & Yang Yang, 2023. "Deterring Sellers’ Cheap Talk Actions via Online Rating Schemes," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1304-:d:1091300
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/6/1304/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/6/1304/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gad Allon & Achal Bassamboo & Itai Gurvich, 2011. "“We Will Be Right with You”: Managing Customer Expectations with Vague Promises and Cheap Talk," Operations Research, INFORMS, vol. 59(6), pages 1382-1394, December.
    2. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    3. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. 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.
    6. Xu Guan & Yulan Wang & Zelong Yi & Ying‐Ju Chen, 2020. "Inducing Consumer Online Reviews Via Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1956-1971, August.
    7. Eugene W. Anderson & Mary W. Sullivan, 1993. "The Antecedents and Consequences of Customer Satisfaction for Firms," Marketing Science, INFORMS, vol. 12(2), pages 125-143.
    8. Alan Benson & Aaron Sojourner & Akhmed Umyarov, 2020. "Can Reputation Discipline the Gig Economy? Experimental Evidence from an Online Labor Market," Management Science, INFORMS, vol. 66(5), pages 1802-1825, May.
    9. Zizhuo Wang, 2016. "Technical Note—Intertemporal Price Discrimination via Reference Price Effects," Operations Research, INFORMS, vol. 64(2), pages 290-296, April.
    10. Liangfei Qiu & Andrew B. Whinston, 2017. "Pricing Strategies under Behavioral Observational Learning in Social Networks," Production and Operations Management, Production and Operations Management Society, vol. 26(7), pages 1249-1267, July.
    11. Matthews, Steven A. & Okuno-Fujiwara, Masahiro & Postlewaite, Andrew, 1991. "Refining cheap-talk equilibria," Journal of Economic Theory, Elsevier, vol. 55(2), pages 247-273, December.
    12. Gad Allon & Achal Bassamboo, 2011. "Buying from the Babbling Retailer? The Impact of Availability Information on Customer Behavior," Management Science, INFORMS, vol. 57(4), pages 713-726, April.
    13. Wilfred Amaldoss & Chuan He, 2018. "Reference-Dependent Utility, Product Variety, and Price Competition," Management Science, INFORMS, vol. 64(9), pages 4302-4316, September.
    14. Liang Guo & Ying Zhao, 2009. "Voluntary Quality Disclosure and Market Interaction," Marketing Science, INFORMS, vol. 28(3), pages 488-501, 05-06.
    15. Ioana Popescu & Yaozhong Wu, 2007. "Dynamic Pricing Strategies with Reference Effects," Operations Research, INFORMS, vol. 55(3), pages 413-429, June.
    16. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    17. Gupta, Pranjal & Harris, Judy, 2010. "How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1041-1049, September.
    18. Shining Wu & Qian Liu & Rachel Q. Zhang, 2015. "The Reference Effects on a Retailer’s Dynamic Pricing and Inventory Strategies with Strategic Consumers," Operations Research, INFORMS, vol. 63(6), pages 1320-1335, December.
    19. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    20. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    21. Yogesh V. Joshi & Andres Musalem, 2021. "When Consumers Learn, Money Burns: Signaling Quality via Advertising with Observational Learning and Word of Mouth," Marketing Science, INFORMS, vol. 40(1), pages 168-188, January.
    22. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    23. 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.
    24. Antonio Moreno & Christian Terwiesch, 2014. "Doing Business with Strangers: Reputation in Online Service Marketplaces," Information Systems Research, INFORMS, vol. 25(4), pages 865-886, December.
    25. Qiuping Yu & Gad Allon & Achal Bassamboo & Seyed Iravani, 2018. "Managing Customer Expectations and Priorities in Service Systems," Management Science, INFORMS, vol. 64(8), pages 3942-3970, August.
    26. Chen, Ying, 2011. "Perturbed communication games with honest senders and naive receivers," Journal of Economic Theory, Elsevier, vol. 146(2), pages 401-424, March.
    27. Pedro M. Gardete & Liang Guo, 2021. "Prepurchase Information Acquisition and Credible Advertising," Management Science, INFORMS, vol. 67(3), pages 1696-1717, March.
    28. Pedro M. Gardete, 2013. "Cheap-Talk Advertising and Misrepresentation in Vertically Differentiated Markets," Marketing Science, INFORMS, vol. 32(4), pages 609-621, July.
    29. Yannis Bakos & Chrysanthos Dellarocas, 2011. "Cooperation Without Enforcement? A Comparative Analysis of Litigation and Online Reputation as Quality Assurance Mechanisms," Management Science, INFORMS, vol. 57(11), pages 1944-1962, November.
    30. Crawford, Vincent P & Sobel, Joel, 1982. "Strategic Information Transmission," Econometrica, Econometric Society, vol. 50(6), pages 1431-1451, November.
    31. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xu Guan & Yulan Wang & Zelong Yi & Ying‐Ju Chen, 2020. "Inducing Consumer Online Reviews Via Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1956-1971, August.
    2. Yabing Jiang & Hong Guo, 2012. "Design of Consumer Review Systems and Product Pricing," Working Papers 12-10, NET Institute.
    3. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    4. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    5. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
    6. Yili Hong & Paul A. Pavlou, 2017. "On Buyer Selection of Service Providers in Online Outsourcing Platforms for IT Services," Information Systems Research, INFORMS, vol. 28(3), pages 547-562, September.
    7. Hoyer, B. & van Straaten, D., 2022. "Anonymity and self-expression in online rating systems—An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    8. Guan, Xu & Wang, Yulan, 2022. "Quality disclosure in a competitive environment with consumer’s elation and disappointment," Omega, Elsevier, vol. 108(C).
    9. Elina Ishmukhametova & Marina Sandomirskaia, 2023. "The Problem Of Reputation Reliability In Online Freelance Markets," HSE Working papers WP BRP 260/EC/2023, National Research University Higher School of Economics.
    10. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    11. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    12. Heeseung Andrew Lee & Angela Aerry Choi & Tianshu Sun & Wonseok Oh, 2021. "Reviewing Before Reading? An Empirical Investigation of Book-Consumption Patterns and Their Effects on Reviews and Sales," Information Systems Research, INFORMS, vol. 32(4), pages 1368-1389, December.
    13. Hu, Li & Ma, Hoi-Lam & Wang, Li & Liu, Yang, 2023. "Hiding or disclosing? Information discrimination in member-only discounts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    14. Pedro M. Gardete & Liang Guo, 2021. "Prepurchase Information Acquisition and Credible Advertising," Management Science, INFORMS, vol. 67(3), pages 1696-1717, March.
    15. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    16. Britta Hoyer & Dirk van Straaten, 2021. "Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis," Working Papers Dissertations 70, Paderborn University, Faculty of Business Administration and Economics.
    17. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    18. Ruomeng Cui & Jun Li & Dennis J. Zhang, 2020. "Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb," Management Science, INFORMS, vol. 66(3), pages 1071-1094, March.
    19. Rishikesh Bhaiswar & N. Meenakshi & Deepak Chawla, 2021. "Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)," FIIB Business Review, , vol. 10(3), pages 215-231, September.
    20. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1304-:d:1091300. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.