Issues

Special Issue: Data-driven Decision-making Research for Supply Chain Finance. Guest Editors: Jie Wu, Ron Fisher

Guest editorial

Jie Wu; Ron Fisher
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Performance of China's rural supply chain finance: from the perspective of maximization of intermediate output

Xiaohong Liu; Yue Du; Jiasen Sun; Rui Yang; Feng Yang
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A blockchain-driven cyber-credit evaluation approach for establishing reliable cooperation among unauthentic MSMEs in social manufacturing

Jiajun Liu; Pingyu Jiang
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How monetary policies and ownership structure affect bank supply chain efficiency: a DEA-based case study

Yelin Hu; Bingjing Li; Ying Zha; Douqing Zhang
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Centralized selection of standardized modular containers: a multi-criteria method considering freight behavior and shipper segment

Xiang Ji; Bingru Guan; Guowei Liu
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A data-driven and network-aware approach for credit risk prediction in supply chain finance

Mohammad Rishehchi Fayyaz; Mohammad R. Rasouli; Babak Amiri
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A data envelopment analysis approach by partial impacts between inputs and desirable-undesirable outputs for sustainable supplier selection problem

Mohammad Nemati; Reza Farzipoor Saen; Reza Kazemi Matin
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Agricultural loan efficiency in centralized bank supply chains with fairness concern: a DEA-based analysis

Jianguo Zhuo; Yuwei Hu; Min Kang
View articletitled, Agricultural loan efficiency in centralized bank supply chains with fairness concern: a DEA-based analysis
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Impact of data-driven online financial consumption on supply chain services

Lei Li; Yaxuan Dai; Yudong Sun
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Data-driven approach to find the best partner for merger and acquisitions in banking industry

Qingyuan Zhu; Xingchen Li; Feng Li; Alireza Amirteimoori
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Assessing the efficiency of financial supply chain for Chinese commercial banks: a two-stage AR-DEA model

Guangcheng Xu; Zhixiang Zhou
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Analysis of two financing modes in green supply chains when considering the role of data collection

Nenggui Zhao; Qiang Wang
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Bank supply chain efficiency analysis based on regional heterogeneity: a data-driven empirical study

Yu Jiang; Mingjun Li; Panpan Xia
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