IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v90y2026ics1544612325026674.html

Driving material civilization success:Unleashing supply chain enterprise collaborative research and development using AI

Author

Listed:
  • Yang, Lin
  • Xie, Xianjun

Abstract

Using data from Shanghai and Shenzhen A-share listed companies between 2010 and 2024, this research examines how artificial intelligence (AI) affects collaborative research and development (R&D) in supply chain enterprises. Results indicate that AI substantially enhances collaborative R&D in these enterprises. Machine learning and deep learning technologies have a stronger impact on R&D. AI enhances supply chain enterprise collaborative R&D by improving knowledge sharing, enabling informed decisions, increasing collaboration efficiency, and optimizing resource use. Its impact is strongest in high-productivity, technology-driven industries but less evident in sectors with lower productivity and limited technology. There is no notable promotion effect in industry-level collaborative R&D.

Suggested Citation

  • Yang, Lin & Xie, Xianjun, 2026. "Driving material civilization success:Unleashing supply chain enterprise collaborative research and development using AI," Finance Research Letters, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:finlet:v:90:y:2026:i:c:s1544612325026674
    DOI: 10.1016/j.frl.2025.109418
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325026674
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.109418?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

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:90:y:2026:i:c:s1544612325026674. 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.