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Data Marketplaces: Trends and Monetisation of Data Goods

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  • Markus Spiekermann

    (Fraunhofer Institute for Software and Systems Engineering ISST)

Abstract

Despite the large number of academic contributions, there is no uniform definition of data marketplaces.However, different data marketplaces may vary from eachother in terms of their underlying business model, type ofdata offered, functionality, market mechanisms, etc.

Suggested Citation

  • Markus Spiekermann, 2019. "Data Marketplaces: Trends and Monetisation of Data Goods," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 54(4), pages 208-216, July.
    • Handle: RePEc:spr:intere:v:54:y:2019:i:4:d:10.1007_s10272-019-0826-z
    DOI: 10.1007/s10272-019-0826-z
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    References listed on IDEAS

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    1. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    2. T Ritchey, 2006. "Problem structuring using computer-aided morphological analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(7), pages 792-801, July.
    3. Koutroumpis, Pantelis & Leiponen, Aija & Thomas, Llewellyn D W, 2017. "The (Unfulfilled) Potential of Data Marketplaces," ETLA Working Papers 53, The Research Institute of the Finnish Economy.
    4. Stahl, Florian & Schomm, Fabian & Vossen, Gottfried, 2012. "Marketplaces for data: An initial survey," ERCIS Working Papers 14, University of Münster, European Research Center for Information Systems (ERCIS).
    5. Stahl, Florian & Schomm, Fabian & Vossen, Gottfried, 2014. "The data marketplace survey revisited," ERCIS Working Papers 18, University of Münster, European Research Center for Information Systems (ERCIS).
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    Cited by:

    1. Alessandro Marra & Vittorio Carlei & Cristiano Baldassari, 2020. "Exploring networks of proximity for partner selection, firms' collaboration and knowledge exchange. The case of clean‐tech industry," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1034-1044, March.
    2. Wirawan Agahari & Hosea Ofe & Mark Reuver, 2022. "It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1577-1602, September.
    3. Simon Scheider & Florian Lauf & Simon Geller & Frederik Möller & Boris Otto, 2023. "Exploring design elements of personal data markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-16, December.
    4. Rômy Bergman & Antragama Ewa Abbas & Sven Jung & Claudia Werker & Mark de Reuver, 2022. "Business model archetypes for data marketplaces in the automotive industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 747-765, June.
    5. Winter, Jenifer Sunrise & Davidson, Elizabeth, 2022. "Harmonizing regulatory regimes for the governance of patient-generated health data," Telecommunications Policy, Elsevier, vol. 46(5).
    6. Haifei Yu & Shanshan Zheng & Hao Wu, 2023. "User Privacy Awareness, Incentive and Data Supply Chain Pricing Strategy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    7. Rene Abraham & Johannes Schneider & Jan vom Brocke, 2023. "A taxonomy of data governance decision domains in data marketplaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    8. Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
    9. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Teruaki Hayashi & Hiroki Sakaji & Hiroyasu Matsushima & Yoshiaki Fukami & Takumi Shimizu & Yukio Ohsawa, 2021. "Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 521-534, November.
    11. Matthias Förster & Bastian Bansemir & Angela Roth, 2022. "Employee perspectives on value realization from data within data-driven business models," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 767-806, June.

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