Hu, Jiayao

Tseng, Ming-Lang

Wang, Chin-Hsin

Wu, Kuo-Jui

English

Supply chain finance has received increasing attention. The combination of sustainable development and supply chain finance requires a deeper discussion to address the theoretical and managerial gaps. Thus, this study adopts the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS) to develop a sustainable supply chain finance model under uncertainty to identify the existing problems and deficiencies of financing patterns. Expert assessments were performed, and the results indicate that economic factors have a significant effect on other aspects and that delivery management policies are the most effective tools for reinforcing sustainable supply chain finance practices. Moreover, the findings provide a theoretical foundation that can reinforce the understanding of sustainable supply chain finance, and the managerial implications provide a precise guideline for firms to improve their performance.<br/

Coventry University Pure Portal

Decision-making model on sustainable supply chain finance under uncertainties

https://pure.coventry.ac.uk/ws/files/21336354/Binder1.pdf

Decision-making model on sustainable supply chain finance under uncertainties

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Coventry University Pure Portal