IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v59y2021ics0268401221000281.html
   My bibliography  Save this article

Conceptualising value creation in data-driven services: The case of vehicle data

Author

Listed:
  • Kaiser, Christian
  • Stocker, Alexander
  • Viscusi, Gianluigi
  • Fellmann, Michael
  • Richter, Alexander

Abstract

The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the automotive industry, the data generated by vehicles during use paves the way for new types of data-driven services. Based on interviews with eleven prominent experts of the Central European automotive industry, we identify key actors in establishing vehicle data-driven services and their data sharing relationships. We illustrate both in a conceptual multi-actor model for value creation in vehicle data-driven services and evaluate it in the context of six real-life cases. Our study adopts an ecosystem perspective and marks an important step towards the systematic design of a conceptual multi-actor model for vehicle data-driven value creation that can help to guide next research endeavours in data-driven service development.

Suggested Citation

  • Kaiser, Christian & Stocker, Alexander & Viscusi, Gianluigi & Fellmann, Michael & Richter, Alexander, 2021. "Conceptualising value creation in data-driven services: The case of vehicle data," International Journal of Information Management, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ininma:v:59:y:2021:i:c:s0268401221000281
    DOI: 10.1016/j.ijinfomgt.2021.102335
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401221000281
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2021.102335?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:59:y:2021:i:c:s0268401221000281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.