A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance

被引:7
|
作者
Zhang, Lu [1 ]
Cui, Li [2 ]
Chen, Lujie [3 ]
Dai, Jing [4 ]
Jin, Ziyi [2 ]
Wu, Hao [2 ]
机构
[1] Inner Mongolia Univ Technol, Sch Econ & Management, Hohhot 010051, Peoples R China
[2] Dalian Univ Technol, Sch Business, Panjin 124221, Peoples R China
[3] Xian Jiaotong Liverpool Univ, Int Business Sch Suzhou, Suzhou 215123, Peoples R China
[4] Univ Nottingham Ningbo China, Nottingham Univ, Business Sch China, Ningbo 315100, Peoples R China
关键词
Online supply chain finance; Supply chain performance; Interpretive structural modelling; Bayesian network; Fuzzy set theory; DECISION-MAKING APPROACH; E-COMMERCE; INTEGRATED FRAMEWORK; FIRM PERFORMANCE; NETWORK APPROACH; MANAGEMENT; MODEL; ADOPTION; IMPACT; BENEFITS;
D O I
10.1016/j.ijpe.2022.108689
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 -com-merce 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.
引用
收藏
页数:14
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