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Markets for data

Author

Listed:
  • Pantelis Koutroumpis
  • Aija Leiponen
  • Llewellyn D W Thomas

Abstract

Although datasets are abundant and assumed to be immensely valuable, they are not being shared or traded openly and transparently on a large scale. We investigate the nature of data trading with a conceptual market design approach and demonstrate the importance of provenance to overcome appropriability and quality concerns. We consider the requirements for efficient data exchange, comparing existing trading arrangements against efficient market models and show that it is possible to achieve either large markets with little control or small markets with greater control. We describe some future research directions.

Suggested Citation

  • Pantelis Koutroumpis & Aija Leiponen & Llewellyn D W Thomas, 2020. "Markets for data," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(3), pages 645-660.
    • Handle: RePEc:oup:indcch:v:29:y:2020:i:3:p:645-660.
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    File URL: http://hdl.handle.net/10.1093/icc/dtaa002
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    Citations

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    Cited by:

    1. repec:bre:wpaper:45784 is not listed on IDEAS
    2. Hurmelinna-Laukkanen, Pia & Yang, Jialei, 2022. "Distinguishing between appropriability and appropriation: A systematic review and a renewed conceptual framing," Research Policy, Elsevier, vol. 51(1).
    3. Agahari, Wirawan & Petronia, Masud & de Reuver, Mark, 2021. "Cutting out the trusted third party in business-to-business data exchange: A quantitative study on the impact of multi-party computation on firms’ willingness to share sensitive data in supply chains," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238001, International Telecommunications Society (ITS).
    4. Lähteenmäki, Jarno, 2021. "The evolution paths of neutral host businesses: Antecedents, strategies, and business models," Telecommunications Policy, Elsevier, vol. 45(10).
    5. Andreas Engelmann & Ingrid Bauer & Mateusz Dolata & Michael Nadig & Gerhard Schwabe, 2022. "Promoting Less Complex and More Honest Price Negotiations in the Online Used Car Market with Authenticated Data," Group Decision and Negotiation, Springer, vol. 31(2), pages 419-451, April.

    More about this item

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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