IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v93y2026ics1544612326001546.html

Supply chain digitalization and disruption risk: The roles of resilience and financing constraints

Author

Listed:
  • Zhang, Jinfei

Abstract

This study investigates whether and how strategic supply chain digitalization (SCDigital) mitigates manufacturing enterprises’ disruption risk. Using firm-level panel data from 23,005 firm–year observations from Chinese A-share manufacturing firms spanning 2013–2023, this study constructs a moderated mediation model incorporating supply chain resilience and financing constraints. Results show that SCDigital significantly reduces disruption risk, with resilience acting as a key mediating mechanism and financing constraints weakening this effect. Heterogeneity analysis reveals that the risk-mitigating impact of digitalization is strongest for capital-intensive firms, indicating that industry characteristics can influence the value of digital transformation. The findings highlight the importance of digital transformation in enhancing firms’ operational stability and provide policy insights for improving financial flexibility to support digital resilience.

Suggested Citation

  • Zhang, Jinfei, 2026. "Supply chain digitalization and disruption risk: The roles of resilience and financing constraints," Finance Research Letters, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:finlet:v:93:y:2026:i:c:s1544612326001546
    DOI: 10.1016/j.frl.2026.109623
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326001546
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2026.109623?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:finlet:v:93:y:2026:i:c:s1544612326001546. 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/frl .

    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.