Decision-making model for sustainable supply chain finance under uncertainties
Ming-Lang Tseng,
Kuo-Jui Wu,
Jiayao Hu and
Chin-Hsin Wang
International Journal of Production Economics, 2018, vol. 205, issue C, 30-36
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.
Keywords: Sustainable development; Supply chain finance; Sustainable supply chain finance; Triple bottom line; Fuzzy TOPSIS (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (35)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:205:y:2018:i:c:p:30-36
DOI: 10.1016/j.ijpe.2018.08.024
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