Papanastasiou, Y, Yang, S and Zhang, A (2023) Improving Dispute Resolution in Two-Sided Platforms: The Case of Review Blackmail. Management Science, 69 (10). pp. 6021-6037. ISSN 0025-1909
Abstract
We study the relative merits of different dispute resolution mechanisms in two-sided platforms, in the context of disputes involving malicious reviews and blackmail. We develop a game-theoretic model of the strategic interactions between a seller and a (potentially malicious) consumer. In our model, the seller takes into account the impact of consumer reviews on his future earnings; recognizing this, a malicious consumer may attempt to blackmail the seller by purchasing the product, posting a negative review, and demanding ransom to remove it. Without a dispute resolution mechanism in place, the presence of malicious consumers in the market can lead to a significant decrease in seller profit, especially in settings characterized by high uncertainty about product quality. The introduction of a standard centralized dispute resolution mechanism (whereby the seller can report allegedly malicious reviews to the host platform, which then judges whether to remove the review) can restore efficiency to some extent, but requires the platform's judgments to be both very quick and highly accurate. We demonstrate that a more decentralized mechanism (whereby the firm is allowed to remove reviews without consulting the platform, subject to ex post penalties for wrongdoing) can be much more effective, while simultaneously alleviating - almost entirely - the need for the platform's judgments to be quick. Our results suggest that decentralization, when implemented correctly, may represent a more efficient approach to dispute resolution.
More Details
Item Type: | Article |
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Subject Areas: | Management Science and Operations |
Additional Information: |
© 2023 INFORMS
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Funder Name: | Hong Kong General |
Date Deposited: | 30 Jan 2023 12:15 |
Date of first compliant deposit: | 27 Apr 2022 |
Subjects: | Disputes procedures |
Last Modified: | 21 Nov 2024 02:35 |
URI: | https://lbsresearch.london.edu/id/eprint/1988 |