IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v91y2026icp1522-1536.html

The spillover effects of corporate digital transformation within supply chain networks

Author

Listed:
  • Du, Jianguo
  • Wang, Quanding
  • Chang, Taoying

Abstract

In the context of the digital economy, collaborative advancement among enterprises has become an important driving force for promoting the overall digital upgrading of industrial chains. This paper adopts a supply chain perspective to analyze the spillover effects of corporate digital transformation between upstream and downstream firms. The empirical results indicate that supplier digital transformation significantly accelerates the digitalization of customer firms. This spillover effect is particularly pronounced under specific conditions: in high-tech industries, among firms with more advanced digital capabilities, and when suppliers and customers are geographically proximate and exhibit less divergence in their R&D strategies. Mechanism analyses further indicate that suppliers’ digital upgrading enhances customer firms’ innovation capability and willingness to adopt digital technologies by optimizing resource allocation, improving the efficiency of information flows, and facilitating technological diffusion. Based on these findings, this paper recommends strengthening resource integration and information sharing between upstream and downstream enterprises, thereby fostering a pattern of jointly promoted digital transformation along the supply chain. At the same time, differentiated supporting policies should be designed in light of firms’ digital foundations and the degree of R&D strategic alignment, so as to guide and coordinate corporate digital transformation in a more scientific and orderly manner.

Suggested Citation

  • Du, Jianguo & Wang, Quanding & Chang, Taoying, 2026. "The spillover effects of corporate digital transformation within supply chain networks," Economic Analysis and Policy, Elsevier, vol. 91(C), pages 1522-1536.
  • Handle: RePEc:eee:ecanpo:v:91:y:2026:i:c:p:1522-1536
    DOI: 10.1016/j.eap.2026.05.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592626001785
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eap.2026.05.010?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:eee:ecanpo:v:91:y:2026:i:c:p:1522-1536. 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.journals.elsevier.com/economic-analysis-and-policy .

    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.