Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis

Abstract : In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the “Matrice d’Impacts Croisés Multiplication Appliquée à un Classement” (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed.
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Submitted on : Monday, February 4, 2019 - 11:49:29 AM
Last modification on : Thursday, February 7, 2019 - 5:26:47 PM

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Maher A.N. Agi, Rohit Nishant. Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis. Journal of Environmental Management, Elsevier, 2017, 188, pp.351-363. ⟨10.1016/j.jenvman.2016.11.081⟩. ⟨hal-02005891⟩

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