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Is there a market for trusted car data?

Author

Listed:
  • Ingrid Bauer

    (University of Zurich)

  • Liudmila Zavolokina

    (University of Zurich)

  • Gerhard Schwabe

    (University of Zurich)

Abstract

The used-car trade is characterized by information asymmetries between buyers and sellers leading to uncertainty and distrust, thus causing market inefficiencies. Prior research has shown that blockchain offers a solution: a transparent, trustworthy and verified car history that addresses these issues in the market for ‘lemons’. Yet, whether or not there really is a market for trusted car data remains an open question. In particular, it is unclear if trusted car data increases transparency in the market for lemons and how market participants value increased transparency. Hence, through a market game with 50 participants, we explored the effects of trusted car data on the sales price of the cars, and the relative revenue of buyers and sellers. Additionally, we conducted interviews with the participants to elicit the perceived customer value. The results show that blockchain enables an increase in transparency and creates value for both buyers and sellers.

Suggested Citation

  • Ingrid Bauer & Liudmila Zavolokina & Gerhard Schwabe, 2020. "Is there a market for trusted car data?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 211-225, June.
    • Handle: RePEc:spr:elmark:v:30:y:2020:i:2:d:10.1007_s12525-019-00368-5
    DOI: 10.1007/s12525-019-00368-5
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    References listed on IDEAS

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    Cited by:

    1. Ferdinand Thies & Sören Wallbach & Michael Wessel & Markus Besler & Alexander Benlian, 2022. "Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1691-1705, September.
    2. Julia Brasse & Hanna Rebecca Broder & Maximilian Förster & Mathias Klier & Irina Sigler, 2023. "Explainable artificial intelligence in information systems: A review of the status quo and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-30, December.
    3. Andreas Engelmann & Gerhard Schwabe, 2024. "Certified data chats for future used car markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-22, December.
    4. Roger W.H. Bons & Johan Versendaal & Liudmila Zavolokina & Weidong Larry Shi, 2020. "Potential and limits of Blockchain technology for networked businesses," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 189-194, June.
    5. Nora Nahr & Marikka Heikkilä, 2022. "Uncovering the identity of Electronic Markets research through text mining techniques," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1257-1277, September.
    6. Johannes Sedlmeir & Jonathan Lautenschlager & Gilbert Fridgen & Nils Urbach, 2022. "The transparency challenge of blockchain in organizations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1779-1794, September.
    7. Rainer Alt, 2020. "Electronic Markets on sustainability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 667-674, December.

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    More about this item

    Keywords

    Blockchain; Market for lemons; Value creation; Data and information products; Data-driven business models;
    All these keywords.

    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
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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