Resolving the "De-coring" Dilemma with Data Credit: Resource Orchestration and Value Enhancement Paths in Supply Chain Finance

Authors

  • Chenxu Liu

DOI:

https://doi.org/10.54097/75er1b87

Keywords:

Supply Chain Finance, Data Credit Paradigm, Resource Orchestration, Small and Medium-Sized Enterprises (SMEs)

Abstract

The innovation and development of supply chain finance (SCF) have become a crucial component of national strategy. Traditional models heavily rely on the credit of core enterprises, which significantly limits the financing channels and growth potential of small and medium-sized enterprises (SMEs). Using JD Technology as a case study and integrating the dual theoretical perspectives of resource orchestration and co-evolution, this paper explores how data credit reconstructs the trust mechanism in SCF, facilitating its "de-coring" process. The research identifies a three-stage evolutionary path: "credit asset construction–data asset integration – 'de-coring' capability release." It further indicates that fintech platforms gradually assume triple functions throughout this evolution: credit hub, service hub, and value hub. These findings extend the theoretical framework concerning the realization mechanisms of "de-coring" and the functions of platform enterprises, providing a reference for practical innovation in SCF.

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Published

23-09-2025

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How to Cite

Liu, C. (2025). Resolving the "De-coring" Dilemma with Data Credit: Resource Orchestration and Value Enhancement Paths in Supply Chain Finance. Academic Journal of Management and Social Sciences, 12(3), 22-28. https://doi.org/10.54097/75er1b87