IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-699-9_54.html

Digital Transformation, Supplier Concentration, and Trade Credit Financing

In: Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026)

Author

Listed:
  • Ruyi Jiang

    (Chengdu University of Information Technology)

  • Shiying Xu

    (Chengdu University of Information Technology)

Abstract

With the widespread application of technologies such as big data and artificial intelligence, coupled with increasing policy support, digital transformation has permeated the entire business operation process, emerging as a pivotal force in reshaping the commercial credit ecosystem. This study therefore employs empirical research to explore the relationship between digital transformation and corporate commercial credit financing. The findings indicate that digital transformation does indeed facilitate commercial credit financing, and that reducing supplier concentration is a critical pathway through which digital transformation drives such financing. Heterogeneity analysis reveals that this promotional effect is more pronounced in central and western regions, state-owned enterprises, and high-tech firms. This study offers new insights into corporate financing logic in the digital era and provides valuable implications for governments to optimize digital support policies and for enterprises to advance digital transformation with precision.

Suggested Citation

  • Ruyi Jiang & Shiying Xu, 2026. "Digital Transformation, Supplier Concentration, and Trade Credit Financing," Advances in Economics, Business and Management Research, in: Toh Guat Guan & Abdelhak Senadjki & Thippa Reddy Gadekallu & Alex Mathew (ed.), Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026), pages 501-507, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-699-9_54
    DOI: 10.2991/978-94-6239-699-9_54
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6239-699-9_54. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.