IDEAS home Printed from https://ideas.repec.org/a/cup/jomorg/v31y2025i3p1350-1366_21.html
   My bibliography  Save this article

How top leaders’ support affects open government data (OGD)-driven innovation capacity of firms: Based on the TOE framework perspective

Author

Listed:
  • Wang, Yu
  • Jiang, Hui
  • Han, Delong
  • Zhou, Mingle
  • Li, Gang

Abstract

The innovation value of open government data (OGD) drives firms to the participation in OGD-driven innovation. However, to fully excavate the innovation value of OGD for firms, it is essential to explore the factors and mechanisms that affect OGD-driven innovation capacity. On the basis of the technology–organization–environment (TOE) framework, a theoretical model affecting OGD-driven innovation capacity is proposed for analysis by partial least squares structural equation modeling with 236 sample data from China. The results indicate that top leaders’ support positively impacts on OGD-driven innovation capacity in firms. And we also prove that technical competence, organizational arrangement, and innovation support partially mediate the relationship between top leaders’ support and OGD-driven innovation capacity on the basis of the TOE framework. Consequently, the findings provide new research perspectives and practical guidance for promoting OGD-driven innovation capacity in firms.

Suggested Citation

  • Wang, Yu & Jiang, Hui & Han, Delong & Zhou, Mingle & Li, Gang, 2025. "How top leaders’ support affects open government data (OGD)-driven innovation capacity of firms: Based on the TOE framework perspective," Journal of Management & Organization, Cambridge University Press, vol. 31(3), pages 1350-1366, May.
  • Handle: RePEc:cup:jomorg:v:31:y:2025:i:3:p:1350-1366_21
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1833367223000688/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:cup:jomorg:v:31:y:2025:i:3:p:1350-1366_21. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jmo .

    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.