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

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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Publication Details

Journal
Academic journal of management and social sciences
Published
2025-09-23
DOI
https://doi.org/10.54097/75er1b87
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Chenxu Liu
Academic journal of management and social sciences
Scheduling and Optimization Algorithms
article

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

Chenxu Liu
article en

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.

Academic journal of management and social sciencesVol. 12(3)
Anhui University of Finance and Economics (CN)
Openalex Percentile: Top 63%
Scheduling and Optimization Algorithms
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Resolving the "De-coring" Dilemma with Data Credit: Resource Orchestration and Value Enhancement Paths in Supply Chain Finance — Chenxu Liu · Academic journal of management and social sciences (2025) | TGRS Research Map | TGRS