TY - JOUR
T1 - A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance
AU - Zhang, Lu
AU - Cui, Li
AU - Chen, Lujie
AU - Dai, Jing
AU - Jin, Ziyi
AU - Wu, Hao
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/1
Y1 - 2023/1
N2 - With the rapid development of information and internet technologies, online supply chain finance is becoming increasingly important in improving supply chain performance from many perspectives, including capital and information. To fully understand the role of online supply chain finance, it is necessary to comprehensively assess the criteria of online supply chain finance that affect supply chain performance. Meanwhile, given the lack of relevant theoretical research and methodologies, this study proposes a hybrid approach that integrates fuzzy set theory, interpretive structural modelling and a Bayesian network to assess and identify the critical criteria. The results show that criteria such as the development of the supply chain industry, incentive mechanisms, e-commerce platforms and the quality of small and medium-sized enterprises are predominant in improving supply chain performance. Finally, some new findings and corresponding suggestions are also provided.
AB - With the rapid development of information and internet technologies, online supply chain finance is becoming increasingly important in improving supply chain performance from many perspectives, including capital and information. To fully understand the role of online supply chain finance, it is necessary to comprehensively assess the criteria of online supply chain finance that affect supply chain performance. Meanwhile, given the lack of relevant theoretical research and methodologies, this study proposes a hybrid approach that integrates fuzzy set theory, interpretive structural modelling and a Bayesian network to assess and identify the critical criteria. The results show that criteria such as the development of the supply chain industry, incentive mechanisms, e-commerce platforms and the quality of small and medium-sized enterprises are predominant in improving supply chain performance. Finally, some new findings and corresponding suggestions are also provided.
KW - Bayesian network
KW - Fuzzy set theory
KW - Interpretive structural modelling
KW - Online supply chain finance
KW - Supply chain performance
UR - http://www.scopus.com/inward/record.url?scp=85140455250&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2022.108689
DO - 10.1016/j.ijpe.2022.108689
M3 - Article
AN - SCOPUS:85140455250
SN - 0925-5273
VL - 255
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 108689
ER -