Effects of risk aversion and decision preference on equilibriums in supply chain finance incorporating bank credit with credit guarantee

2017 ◽  
Vol 33 (6) ◽  
pp. 602-625 ◽  
Author(s):  
Nina Yan ◽  
Chongqing Liu ◽  
Ye Liu ◽  
Baowen Sun
2021 ◽  
pp. 1-14
Author(s):  
Xu Lili ◽  
Liu Feng ◽  
Chu Xuejian

This study examines the application of the business model of supply chain finance depending on the core enterprise, to the credit financing of transportation capacity enterprises. It studies the credit transmission characteristics regarding core enterprise credit radiation, presents the core enterprise credit segmentation and credit pricing, and transforms them into the calculation of credit guarantee and the default probability of core enterprises. Credit guarantee is regarded as a constraint of financial institutions’ credit decisions. Using probability density and logistic tools, we construct a profit maximization model for financial institutions and solve their optimal credit decision for a specific interest rate. Through numerical experiments, we verify the validity of the model and conclude that increasing the business volume between financing enterprises and core enterprises or reducing the probability of default can effectively improve financial institutions’ credit line.


Author(s):  
Haoran Yue ◽  
Jingwen Xu ◽  
Jingmai Wang ◽  
Dilang Wu ◽  
Baozhuang Niu

Supply chain finance (SCF) is a new finance service mode surrounding the core enterprises in the supply chain. Different from the traditional finance service, SCF focuses on the trading process rather than the bank credit. Depending on the large trading data and process gathered by core enterprises, SCF is able to effectively integrate the flows of information, logistics, and funds, which transforms the numerous risks of many single enterprises into the controllable risks of the entire supply chain. Therefore, SCF is capable of providing comprehensive finance service regardless of companies' size with the minimum risk level, especially for the small and medium-sized enterprises which have difficulties in receiving finance service from traditional finance institutions. The emergence of SCF has established an accessible channel to help small and medium-sized enterprises obtain effective finance service. In this chapter, the authors introduce the definition, features, structures, and other basic information of SCF. The authors then examine the different types of SCF.


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

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi

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.


2021 ◽  
Vol 187 ◽  
pp. 12-17
Author(s):  
TianLin Zhang ◽  
JinJiang Li ◽  
XINBO JIANG

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