Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms

Kannan, K N and Saha, R L and Khern-am-nuai, W (2021) Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms. Information Systems Research, 33 (2). pp. 464-475. ISSN 1047-7047

Full text not available from this repository. (Request a copy)


Consumer profiling has become one of the most common practices on online trading platforms. Many platforms strive to obtain and implement technological innovations that allow them to understand and identify consumers’ needs, and, thereafter, monetize this capability by charging sellers to present and/or sell their products or services based on consumers’ interests. However, an interesting and relevant question arises in this context: Does the platform have an incentive to profile its buyers as accurately as possible? This paper develops and analyzes a parsimonious game-theoretic model to answer this research question. We find that, surprisingly, platforms that charge sellers for discoveries have a perverse incentive to deviate from accurate buyer profiling. However, such a perverse incentive does not exist for platforms that charge sellers for transactions. As a result, with such a perverse incentive, social welfare under discovery-based pricing is lower than that under transaction-based pricing.

Item Type: Article
Subjects: Information Systems
Date Deposited: 06 Jul 2023 09:44
Last Modified: 06 Jul 2023 09:44

Actions (login required)

View Item
View Item