Decision-making model on sustainable supply chain finance under uncertainties

Ming-Lang Tseng, Kuo-Jui Wu, Jiayao Hu, Chin-Hsin Wang

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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.

Original languageEnglish
Pages (from-to)30-36
Number of pages7
JournalInternational Journal of Production Economics
Early online date30 Aug 2018
Publication statusPublished - Nov 2018

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in International Journal of Production Economics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Production Economics,vol 205, 2018 DOI: 10.1016/j.ijpe.2018.08.024

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


  • Sustainable development
  • Supply chain finance
  • Sustainable supply chain finance
  • Triple bottom line
  • Fuzzy TOPSIS


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