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Decision-making model for sustainable supply chain finance under uncertainties

Author

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

Abstract

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.

Suggested Citation

  • Tseng, Ming-Lang & Wu, Kuo-Jui & Hu, Jiayao & Wang, Chin-Hsin, 2018. "Decision-making model for sustainable supply chain finance under uncertainties," International Journal of Production Economics, Elsevier, vol. 205(C), pages 30-36.
    • Handle: RePEc:eee:proeco:v:205:y:2018:i:c:p:30-36
    DOI: 10.1016/j.ijpe.2018.08.024
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    References listed on IDEAS

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