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Exploring design elements of personal data markets

Author

Listed:
  • Simon Scheider

    (Fraunhofer Institute for Software and Systems Engineering
    Dortmund Technical University)

  • Florian Lauf

    (Fraunhofer Institute for Software and Systems Engineering)

  • Simon Geller

    (Fraunhofer Institute for Software and Systems Engineering)

  • Frederik Möller

    (Fraunhofer Institute for Software and Systems Engineering
    TU Braunschweig)

  • Boris Otto

    (Fraunhofer Institute for Software and Systems Engineering
    Dortmund Technical University)

Abstract

Since the emerging information economy relies heavily on data for advancement and growth, data markets have gained increasing attention. However, while global data economies are evolving and data are increasingly shared among organizations in various data ecosystems, marketplaces for personal data (PDMs) exhibited considerable start-up difficulties, which doomed their majority to either fail quickly or to operate in legal grey zones. Apparently, in recent times, novel PDMs have arisen which seem economically and technically viable. The study investigates this “new generation” from both an economic and a technological perspective. Adhering to a rigorous methodology for taxonomy building and evaluation, 18 dimensions and 59 characteristics are presented alongside which these new PDMs can be designed. Additionally, archetypes are derived. The findings reveal that PDMs tend to follow certain design commonalities holding for data markets generally but comprise specific design elements distinguishing them both from conventional data markets and among each other.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00646-3
    DOI: 10.1007/s12525-023-00646-3
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    References listed on IDEAS

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    1. Täuscher, Karl & Laudien, Sven M., 2018. "Understanding platform business models: A mixed methods study of marketplaces," European Management Journal, Elsevier, vol. 36(3), pages 319-329.
    2. Frederik Möller & Maleen Stachon & Can Azkan & Thorsten Schoormann & Boris Otto, 2022. "Designing business model taxonomies – synthesis and guidance from information systems research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 701-726, June.
    3. Jian Yang & Chongchong Zhao & Chunxiao Xing, 2019. "Big Data Market Optimization Pricing Model Based on Data Quality," Complexity, Hindawi, vol. 2019, pages 1-10, April.
    4. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    5. Henry Chesbrough & Richard S. Rosenbloom, 2002. "The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 529-555, June.
    6. 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.
    7. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    8. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    9. Elpida Prasopoulou, 2017. "A half-moon on my skin: a memoir on life with an activity tracker," European Journal of Information Systems, Taylor & Francis Journals, vol. 26(3), pages 287-297, May.
    10. Robert C Nickerson & Upkar Varshney & Jan Muntermann, 2013. "A method for taxonomy development and its application in information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 336-359, May.
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    More about this item

    Keywords

    Archetypes; Personal data markets; Data monetarization; Taxonomy;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics

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