Improving the benefits and costs on sustainable supply chain finance under uncertainty

Ming-Lang Tseng, Ming K. Lim and Kuo-Jui Wu

International Journal of Production Economics, 2019, vol. 218, issue C, 308-321

Abstract: Prior studies in sustainable development have been conducted since its introduction, however, there is evidence in the literature that sustainable supply chain finance is still lacking, in particular, in relation to developing measurements to analyze the benefit and cost attributes. Furthermore, these studies did not also identify an ideal hierarchical structure, which is key for accuracy of decisions making. Hence, this paper contributes to the literature by constructing a set of measurements and analyzing the benefits and costs in the textile industry. In this paper, a fuzzy interpretive structural model was developed to build a hierarchical model, and a fuzzy TODIM was applied to determine the linguistic preferences and identify the benefits and costs. The results obtained show that sustainable supply chain finance improves firms' competitive advantages through multiple attributes, which imply that collaboration value innovation, strategic competitive advantage and financial attributes are the most important aspects for improving firm's performance. The results also indicate that to build a successful sustainable supply chain finance, firms should upgrade the synchronization of financial-related decisions, obtain price and cost information, focus on product and service quality, and ensure the dispersion of dependent and interdepartmental interactions.

Keywords: Sustainable supply chain finance; Fuzzy interpretive structural modeling; Fuzzy TODIM; Triple bottom line (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:218:y:2019:i:c:p:308-321

DOI: 10.1016/j.ijpe.2019.06.017

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