IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v217y2025ics0040162525001969.html
   My bibliography  Save this article

Laying the foundation: Value capture in collaborative, digitally-enabled business models for sustainability

Author

Listed:
  • Kerstens, Andrea
  • Gilsing, Rick A.M.
  • Bidmon, Christina M.
  • Ciulli, Francesca
  • Berkers, Frank T.H.M.

Abstract

Firms increasingly adopt digital technologies to generate environmental benefits. To maximize the impact of these technologies, they must be embedded in business models that allow the partners involved to capture economic value by collaboratively generating environmental benefits. This study examines nine cases within a European agri-food project using different value capture models to deploy digital technologies with the goal to make farming practices environmentally sustainable. We analyze and compare these cases to identify the different value capture models, the factors leading to their choice, and which implications the choice of the initial value capture model has for the potential to add more participants to the business model. Based on our findings, we develop a typology of value capture models for digitally-enabled business models for sustainability and discuss the link between value capture models and impact scaling. Our findings advance research on digitally-enabled business models for sustainability and inform practitioners of the implications tied to the choice of different value capture models.

Suggested Citation

  • Kerstens, Andrea & Gilsing, Rick A.M. & Bidmon, Christina M. & Ciulli, Francesca & Berkers, Frank T.H.M., 2025. "Laying the foundation: Value capture in collaborative, digitally-enabled business models for sustainability," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:tefoso:v:217:y:2025:i:c:s0040162525001969
    DOI: 10.1016/j.techfore.2025.124165
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525001969
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2025.124165?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.

    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:tefoso:v:217:y:2025:i:c:s0040162525001969. 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: http://www.sciencedirect.com/science/journal/00401625 .

    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.