Data brokers co-opetition

Gu, Yiquan ORCID: 0000-0002-4594-4852, Madio, Leonardo and Reggiani, Carlo (2022) Data brokers co-opetition. Oxford Economic Papers, 74 (3). pp. 820-839.

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Official URL: http://dx.doi.org/10.1093/oep/gpab042

Abstract

<jats:title>Abstract</jats:title> <jats:p>Data brokers share consumer data with rivals and, at the same time, compete with them for selling. We propose a ‘co-opetition’ game of data brokers and characterize their optimal strategies. When data are ‘sub-additive’ with the merged value net of the merging cost being lower than the sum of the values of individual datasets, data brokers are more likely to share their data and sell them jointly. When data are ‘super-additive’, with the merged value being greater than the sum of the individual datasets, competition emerges more often. Finally, data sharing is more likely when data brokers are more efficient at merging datasets than data buyers.</jats:p>

Item Type:	Article
Divisions:	Faculty of Humanities and Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	02 Aug 2021 10:22
Last Modified:	12 Sep 2023 01:30
DOI:	10.1093/oep/gpab042
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3131171