Selling Data to a Competitor (Extended Abstract)

Ronen Gradwohl, Moshe Tennenholtz

Research output: Contribution to journalConference articlepeer-review

Abstract

We study the costs and benefits of selling data to a competitor. Although selling all consumers’ data may decrease total firm profits, there exist other selling mechanisms—in which only some consumers’ data is sold—that render both firms better off. We identify the profit-maximizing mechanism, and show that the benefit to firms comes at a cost to consumers. We then construct Pareto-improving mechanisms, in which each consumers’ welfare, as well as both firms’ profits, increase. Finally, we show that consumer opt-in can serve as an instrument to induce firms to choose a Pareto-improving mechanism over a profit-maximizing one.

Original languageEnglish
Pages (from-to)318-330
Number of pages13
JournalElectronic Proceedings in Theoretical Computer Science, EPTCS
Volume379
DOIs
StatePublished - 11 Jul 2023
Event19th Conference on Theoretical Aspects of Rationality and Knowledge, TARK 2023 - Oxford, United Kingdom
Duration: 28 Jun 202330 Jun 2023

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