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Green supply chain management in an emerging economy: prioritising critical success factors using grey-permutation and genetic algorithm

Author

Listed:
  • Amir Karbassi Yazdi
  • Yong J. Wang
  • Alireza Rashidi Komijan

Abstract

This study attempts to find and prioritise critical success factors (CSFs) for green supply chain management (GSCM) in an emerging economy. First, extant literature is reviewed and initial 67 CSFs from previous studies are extracted. Then, responses are collected from logistics industry leaders in Iran based on Delphi method. The remaining 41 CSFs are prioritised by grey-permutation method and genetic algorithm. The ranking of the 41 CSFs for GSCM is created and then discussed. The ranking provides important implications for implementing GSCM in emerging economies and draws managers' attention to critical issues in an uncertainty environment.

Suggested Citation

  • Amir Karbassi Yazdi & Yong J. Wang & Alireza Rashidi Komijan, 2020. "Green supply chain management in an emerging economy: prioritising critical success factors using grey-permutation and genetic algorithm," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(2), pages 199-223.
    • Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:199-223
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