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

Amir Karbassi Yazdi, Yong J. Wang and Alireza Rashidi Komijan

International Journal of Logistics Systems and Management, 2020, vol. 36, issue 2, 199-223

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.

Keywords: green supply chain management; GSCM; grey relational analysis; GRA; permutation; multi-criteria decision making; critical success factor; CSF; genetic algorithm; GA; logistics; emerging economy. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:36:y:2020:i:2:p:199-223

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