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

Authors: Amir Karbassi Yazdi; Yong J. Wang; Alireza Rashidi Komijan

Addresses: Young Researchers and Elite Club, Islamic Azad University, South Tehran Branch, Tehran, Iran ' West Chester University, Pennsylvania, 19383, USA ' Industrial Engineering Department, Islamic Azad University, Firoozkoh Branch, Firoozkoh, Iran

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.

DOI: 10.1504/IJLSM.2020.107386

International Journal of Logistics Systems and Management, 2020 Vol.36 No.2, pp.199 - 223

Received: 27 Jan 2018
Accepted: 14 Oct 2018
Published online: 26 May 2020 *

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