IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v182y2024ics014829632400290x.html
   My bibliography  Save this article

The impact of human AI skills on organizational innovation: The moderating role of digital organizational culture

Author

Listed:
  • An, Meng
  • Lin, Jiabao
  • Luo, Xin (Robert)

Abstract

To achieve organizational innovation in a competitive environment, firms need to focus on their human artificial intelligence (AI) skills. Applying a dynamic capability view and using survey data collected from Chinese firms, we find that technical AI skills and managerial AI skills have positive impacts on organizational innovation, and that managerial AI skills have a more important impact on organizational innovation than technical AI skills. Moreover, digital organizational culture plays a positive moderating role in the relationship between human AI skills and organizational innovation. This study contributes to the literature on AI-driven innovation by theoretically and empirically clarifying the importance of human AI skills and digital organizational culture.

Suggested Citation

  • An, Meng & Lin, Jiabao & Luo, Xin (Robert), 2024. "The impact of human AI skills on organizational innovation: The moderating role of digital organizational culture," Journal of Business Research, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:jbrese:v:182:y:2024:i:c:s014829632400290x
    DOI: 10.1016/j.jbusres.2024.114786
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829632400290X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2024.114786?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:jbrese:v:182:y:2024:i:c:s014829632400290x. 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.elsevier.com/locate/jbusres .

    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.