IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v219y2025ics0040162525002653.html
   My bibliography  Save this article

Digital transformation: Unlocking supply chain resilience through adaptability and innovation

Author

Listed:
  • Aslam, Haris
  • ur Rehman, Attique
  • Iftikhar, Anas
  • ul Haq, Muhammad Zia
  • Akbar, Usman
  • Kamal, Muhammad Mustafa

Abstract

Recent disruptions have pushed the digitalisation of supply chains to the forefront of business challenges. This research investigates the mechanisms through which digital supply chains foster resilience. Using structural equation modelling, the study draws on two empirical investigations to provide a comprehensive understanding of these dynamics. In Study 1, we explore the role of supply chain innovation as a mediating factor between digital supply chains and resilience. Our findings confirm that digitalisation positively impacts resilience by enhancing supply chain innovation. Study 2 introduces supply chain adaptability as an additional mediating mechanism, uncovering more complex interactions. The results show that digitalisation affects resilience through the sequential mediation of supply chain adaptability and innovation. This model emphasises adaptability's essential role in translating digital advancements into resilient, innovative supply chains. These insights deepen the theoretical understanding of supply chain management amid disruptions and offer practical strategies for developing more resilient and adaptable supply chains in the digital era.

Suggested Citation

  • Aslam, Haris & ur Rehman, Attique & Iftikhar, Anas & ul Haq, Muhammad Zia & Akbar, Usman & Kamal, Muhammad Mustafa, 2025. "Digital transformation: Unlocking supply chain resilience through adaptability and innovation," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002653
    DOI: 10.1016/j.techfore.2025.124234
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162525002653
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2025.124234?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:tefoso:v:219:y:2025:i:c:s0040162525002653. 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.sciencedirect.com/science/journal/00401625 .

    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.