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ORIGINAL RESEARCH article

Front. Phys.

Sec. Social Physics

Research on the influence of digital transformation on supply chain finance level

Provisionally accepted
  • 1College of International Economics and Trade, Ningbo University of Finance and Economics, Zhejiang, China
  • 2School of Economic & Management, Shanghai Maritime University, Shanghai, China
  • 3Shanghai University, Shanghai, China

The final, formatted version of the article will be published soon.

In the context of the new era, supply chain finance (SCF), as an emerging financial model, has gradually become an important means for enterprises to achieve their own development and improve supply chain efficiency. The continuous development and application of digital technology have brought unprecedented opportunities and challenges for the digital transformation of SCF. This article is based on the data of non-financial industry listed companies in China's Shanghai and Shenzhen A-shares from 2007 to 2021. It examines the relationship between digital transformation and enterprise SCF. Research has found that the degree of digital transformation and SCF level of enterprises are constantly on the rise. The digital transformation of enterprises is conducive to improving their SCF level, and further exploring the impact of various dimensions of digital transformation on the SCF level. This promoting effect still exists. This study aims to provide a profound and practical theoretical basis for digitizing the SCF level, thereby highlighting the importance and value of SCF in the modern economy.

Keywords: digital transformation, Level of supply chain finance, Financial model, Correlation analysis, Multiple collinearity test

Received: 10 Aug 2025; Accepted: 11 Nov 2025.

Copyright: © 2025 Liu, ZHANG and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zongtuan Liu, 359344291@qq.com

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