IDEAS home Printed from https://ideas.repec.org/a/spr/futbus/v11y2025i1d10.1186_s43093-025-00522-w.html
   My bibliography  Save this article

Unraveling the role of data sharing in open finance diffusion: an evolutionary game approach on complex networks

Author

Listed:
  • Dongqing Chen

    (Hunan University
    Ministry of Education)

  • Chaoqun Ma

    (Hunan University
    Ministry of Education)

  • Liwei Zhang

    (Hunan University
    Hunan University)

  • Lijie Li

    (Hunan University
    Ministry of Education)

Abstract

Data sharing has become a transformative force in the global financial ecosystem, driving the evolution from open banking to open finance. In this study, we develop a diffusion model using evolutionary game theory on complex networks to explore how data sharing influences lenders’ micro-level decision-making and promotes the macro-level diffusion of open finance. Combined with empirical observations from China’s open banking initiatives, our findings reveal that the diffusion rate of open finance remains suboptimal, with lenders adopting open finance not yet realizing significant profit advantages over traditional practices. Furthermore, sensitivity tests performed through univariate analysis show that increasing either the proportion of data sharing active borrowers or their degree of data sharing plays a critical role in accelerating open finance diffusion, following distinct nonlinear exponential and linear growth trends, respectively. Notably, data sharing active borrowers dominating the market benefit from the inclusivity of open finance, where lenders’ profits are enhanced with a higher degree of data sharing. Thus, a mutually beneficial outcome arises when both the proportion of data sharing active borrowers and their degree of data sharing are maximized. We further perform several analyses to highlight the robustness of our main results, including analyzing the effects of lender strategy updates and government subsidies and extending a hybrid model that combines small-world and scale-free networks. This article suggests that policymakers should mandate secure data sharing ecosystems through privacy-centric regulation while implementing incentives like early adopter subsidies to accelerate open finance diffusion. Financial institutions must concurrently develop robust data guardianship systems using advanced encryption and federated learning technologies, transforming shared data into personalized credit innovations. These findings offer global implications, demonstrating how strategic data sharing frameworks can drive financial innovation, financial inclusion, and consumer protection across diverse regulatory regimes.

Suggested Citation

  • Dongqing Chen & Chaoqun Ma & Liwei Zhang & Lijie Li, 2025. "Unraveling the role of data sharing in open finance diffusion: an evolutionary game approach on complex networks," Future Business Journal, Springer, vol. 11(1), pages 1-28, December.
  • Handle: RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00522-w
    DOI: 10.1186/s43093-025-00522-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s43093-025-00522-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1186/s43093-025-00522-w?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 search for a different version of it.

    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:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00522-w. 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.