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Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process

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  • Yuangao Chen
  • Shuo Wang
  • Jianrong Yao
  • Yixiao Li
  • Shuiqing Yang

Abstract

Socially responsible supplier selection and sustainable supply chain development involve extremely important decision‐making processes in supply chain management encompassing many quantitative and qualitative factors to consider. Given the vagueness of experts' opinions and the complex interrelationships among evaluation criteria, this study proposes and illustrates a hybrid model that combines total interpretive structural modeling (TISM) and fuzzy analytic network process (FANP) to determine the most appropriate supplier from a social responsibility perspective. We use TISM to explain the interrelationships among variables and the FANP to calculate specific scores for each candidate. We illustrate an application of the proposed hybrid model using a case study from the Chinese food industry. The result demonstrates the feasibility and effectiveness of combining TISM and the FANP for socially responsible supplier selection. This research may provide managerial insights for practitioners to evaluate suppliers and develop sustainable supply chain strategies.

Suggested Citation

  • Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    • Handle: RePEc:bla:bstrat:v:27:y:2018:i:8:p:1708-1719
    DOI: 10.1002/bse.2236
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