scholarly journals Supply chain finance: From traditional to supply chain credit rating

2019 ◽  
Vol 25 (2) ◽  
pp. 197-217 ◽  
Author(s):  
Antonella Moretto ◽  
Laura Grassi ◽  
Federico Caniato ◽  
Marco Giorgino ◽  
Stefano Ronchi
Keyword(s):  
Supply Chain ◽  
Credit Rating ◽  
Supply Chain Finance

scholarly journals Research On The Identification And Evaluation Of Supply Chain Finance Credit Risk

2021 ◽  
Vol 275 ◽  
pp. 01069
Author(s):  
Yinuo Liu
Keyword(s):  
Supply Chain ◽  
Credit Risk ◽  
Financial Institutions ◽  
Credit Rating ◽  
Regulatory System ◽  
Good News ◽  
Credit Risks ◽  
Supply Chain Finance ◽  
Effective Manner ◽  
Financial Credit

Narrow financing channels and high costs have gradually become the main factors restricting the development of small and medium-sized enterprises. The break of the capital chain will restrict the development of the overall supply chain. The emergence of supply chain finance has brought good news for solving the problem of limited capital of small and medium-sized enterprises. However, affected by many factors such as the imperfection of the existing regulatory system, the inefficiency of the credit rating work of financial institutions, and the low moral standards of supply chain member companies, financial institutions bear huge credit risks. Based on the current research of supply chain financial credit risk, this paper analyzes the causes and characteristics of supply chain financial credit risk, finds out the problems and their causes in the identification and evaluation of supply chain financial credit risk, and how to identify and effectively identify and analyze the supply chain financial credit risk in a more timely and effective manner. It is expected to provide reference for financial institutions to strengthen the financial credit risk management of supply chain.

Anti-Fraud in International Supply Chain Finance: Focusing on Moneual Case

2020 ◽  
Vol 24 (1) ◽  
pp. 59-81 ◽  
Author(s):  
Ki-Moon Han ◽  
Sae-Woon Park ◽  
Sunhae Lee
Keyword(s):  
Supply Chain ◽  
Supply Chain Finance

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

scholarly journals Supply chain finance based on smart contract

2021 ◽  
Vol 187 ◽  
pp. 12-17
Author(s):  
TianLin Zhang ◽  
JinJiang Li ◽  
XINBO JIANG
Keyword(s):  
Supply Chain ◽  
Supply Chain Finance ◽  
Smart Contract

scholarly journals The Sustainable Development of Financial Topic Detection and Trend Prediction by Data Mining

2021 ◽  
Vol 13 (14) ◽  
pp. 7585
Author(s):  
Yunmei Liu ◽  
Shuai Zhang ◽  
Min Chen ◽  
Yenchun Wu ◽  
Zhengxian Chen
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Financial Institutions ◽  
Clustering Algorithm ◽  
Development Trend ◽  
Research Field ◽  
Trend Prediction ◽  
Blockchain Technology ◽  
Supply Chain Finance ◽  
The Government

Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

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