IDEAS home Printed from https://ideas.repec.org/a/wsi/ijimxx/v27y2023i05ns1363919623400029.html
   My bibliography  Save this article

Key Competences For Digital Business Model Innovation Of Industrial Companies

Author

Listed:
  • STEFFEN KINKEL

    (Karlsruhe University of Applied Sciences, Institute for Learning and Innovation in Networks (ILIN), Moltkestr. 30, 76133 Karlsruhe, Germany)

  • SEBASTIAN BEINER

    (Karlsruhe University of Applied Sciences, Institute for Learning and Innovation in Networks (ILIN), Moltkestr. 30, 76133 Karlsruhe, Germany)

  • DOMINIQUE RENÉ FARA

    (Tree Consulting GmbH, Marienweg 34, 41363 Jüchen, Germany)

Abstract

Digital transformation is confronting traditional industrial companies with the challenge of not only optimising their internal processes, but also establishing entirely new, digital business models (DBM). In some cases, this requires different competences than in traditional business. In the AgilHybrid research project, a model of 20 key competences that are critical to the success of DBM development was developed. These competences can be bundled into the five areas of entrepreneurial capabilities, adaptability, agile capabilities, collaborative capabilities and digital capabilities. In a CATI survey of 200 German industrial companies, the relevance of the selected competences for DBM development was validated. A multivariate regression model reveals that in particular the equipment of the companies with digital competences as well as the use of agile development methods influence the probability that a company offers digital business models successfully on the market. These competences seem to contribute as important enablers to the dynamic capabilities of seizing and transforming in the context of developing new DBM.

Suggested Citation

  • Steffen Kinkel & Sebastian Beiner & Dominique Ren㉠Fara, 2023. "Key Competences For Digital Business Model Innovation Of Industrial Companies," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 27(05), pages 1-21, June.
    • Handle: RePEc:wsi:ijimxx:v:27:y:2023:i:05:n:s1363919623400029
    DOI: 10.1142/S1363919623400029
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S1363919623400029
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S1363919623400029?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:wsi:ijimxx:v:27:y:2023:i:05:n:s1363919623400029. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijim/ijim.shtml .

    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.