Arbeitspapier

Joint customer data acquisition and sharing among rivals

It is increasingly observable that in different industries competitors jointly acquire and share customer data. We propose a modified Hotelling model with two-dimensional consumer heterogeneity to analyze the incentives for such agreements and their welfare implications. In our model the incentives of firms for data acquisition and sharing depend on the willingness of consumers to switch brands. Firms jointly collect data on transportation cost parameters when consumers are relatively immobile between brands. However, the firms are unlikely to cooperatively acquire such data, when consumers are relatively mobile. Incentives to share information depend on the portfolio of data firms hold and consumer mobility. Data sharing arises with relatively mobile and immobile consumers - it is neutral for consumers in the former case, but reduces consumer surplus in the latter. Competition authorities ought to scrutinize such cooperation agreements on a case-by-case basis and devote special attention to consumer switching behavior.

Language
Englisch

Bibliographic citation
Series: DIW Discussion Papers ; No. 1045

Classification
Wirtschaft
Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
Oligopoly and Other Imperfect Markets
Information and Product Quality; Standardization and Compatibility
Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
Subject
Information Sharing
Data Acquisition
Price Discrimination
Wissenstransfer
Marktforschung
Unternehmenskooperation
Preisdifferenzierung
Wechselkosten
Wohlfahrtseffekt
Theorie

Event
Geistige Schöpfung
(who)
Jentzsch, Nicola
Sapi, Geza
Suleymanova, Irina
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2010

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Jentzsch, Nicola
  • Sapi, Geza
  • Suleymanova, Irina
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2010

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