Application and Challenges of Blockchain Technology in Credit Risk Management of Supply Chain Finance
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i4.4253
Abstract
As global economic integration deepens, supply chain finance plays a crucial role in optimizing corporate cash flow and promoting the coordinated development of industrial chains. However, issues such as information asymmetry and credit assessment difficulties in traditional models have hindered its growth. Blockchain technology, with its decentralized nature, data immutability, and automated smart contracts, offers innovative solutions for credit risk management in supply chain finance. This article systematically analyzes the application logic, typical scenarios, and implementation effects of blockchain technology in credit risk management within supply chain finance. It also explores the technical bottlenecks, regulatory challenges, and coordination issues faced by the practical implementation of these technologies, and propose targeted optimization strategies. The aim is to provide theoretical support and practical references for the deep integration of blockchain technology with supply chain finance.
Keywords
Blockchain technology; supply chain finance; credit risk management; smart contracts; decentralization
Full Text
PDF - Viewed/Downloaded: 1 TimesReferences
[1]Fan Y. Financial Volatility Prediction Model Based On Denoising Autoencoder and Unstable Attention Mechanism[J]. Procedia Computer Science, 2025, 261: 45-52.
[2]Zhao, Yunpeng "Research on Interpretable Machine Learning Models for Identifying Corporate Bond Default Risk."Population, Resources & Environmental Economics (2025), 6(1): 38-45.
[3]Guo Y. Research on Investment Bank Risk Monitoring and Early Warning Model Combining Factor Analysis and Artificial Neural Network[J]. Procedia Computer Science, 2025, 262: 878-886.
[4]Pan Y. Research on the Design of a Real-Time E-Commerce Recommendation System Based on Spark in the Context of Big Data[C]//2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE). IEEE, 2025: 1028-1033.
[5]Wei Z. Design and Implementation of Financial Derivatives Trading Platform Based on Blockchain Technology[J]. Financial Economics Insights, 2025, 2(1): 29-35.
[6]Guo Y. Technology Application and Focus in Financial Investment Banking[J]. European Journal of Business, Economics & Management, 2025, 1(1): 104-110.
[7]Wang C. Application of Data Analysis in Bank Mortgage Loan Risk Assessment[J]. Financial Economics Insights, 2025, 2(1): 23-28.
[8]Jing X. Real-Time Risk Assessment and Market Response Mechanism Driven by Financial Technology[J]. Economics and Management Innovation, 2025, 2(3): 14-20.
[9]Guo, Xingwen. “The Impact of Financial System Reform on the Investment and Financing Behavior of Enterprises.” Frontiers in Business, Economics and Management (2024): 17(13),279-282.
[10]Zhu P. Construction and Experimental Verification of Automatic Classification Process Based on K-Mer Frequency Statistics[C]//The International Conference on Cyber Security Intelligence and Analytics. Cham: Springer Nature Switzerland, 2024: 391-400.
[2]Zhao, Yunpeng "Research on Interpretable Machine Learning Models for Identifying Corporate Bond Default Risk."Population, Resources & Environmental Economics (2025), 6(1): 38-45.
[3]Guo Y. Research on Investment Bank Risk Monitoring and Early Warning Model Combining Factor Analysis and Artificial Neural Network[J]. Procedia Computer Science, 2025, 262: 878-886.
[4]Pan Y. Research on the Design of a Real-Time E-Commerce Recommendation System Based on Spark in the Context of Big Data[C]//2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE). IEEE, 2025: 1028-1033.
[5]Wei Z. Design and Implementation of Financial Derivatives Trading Platform Based on Blockchain Technology[J]. Financial Economics Insights, 2025, 2(1): 29-35.
[6]Guo Y. Technology Application and Focus in Financial Investment Banking[J]. European Journal of Business, Economics & Management, 2025, 1(1): 104-110.
[7]Wang C. Application of Data Analysis in Bank Mortgage Loan Risk Assessment[J]. Financial Economics Insights, 2025, 2(1): 23-28.
[8]Jing X. Real-Time Risk Assessment and Market Response Mechanism Driven by Financial Technology[J]. Economics and Management Innovation, 2025, 2(3): 14-20.
[9]Guo, Xingwen. “The Impact of Financial System Reform on the Investment and Financing Behavior of Enterprises.” Frontiers in Business, Economics and Management (2024): 17(13),279-282.
[10]Zhu P. Construction and Experimental Verification of Automatic Classification Process Based on K-Mer Frequency Statistics[C]//The International Conference on Cyber Security Intelligence and Analytics. Cham: Springer Nature Switzerland, 2024: 391-400.
Copyright © 2025 Jing Zhao
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License