Abstract
The object of this paper is to identify the enablers to implement green supply chain and to understand their mutual relationship. Green supply chain management (GSCM) enablers are identified using available GSCM literature and on consultations with experts from industry and academician. Interpretive structural model (ISM) was developed to identify the contextual relationship among these enablers. This paper has identified 14 key GSCMEs and developed an integrated model using ISM and the fuzzy MICMAC approach, which helps to identify and classify the important GSCMEs and reveal the direct and indirect effects of each GSCME on the GSCM implementation. ISM model provides only binary relationship among GSCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and dependence power of GSCME. To overcome this limitation, integrated approach is developed. This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified GSCMEs more cautiously during GSCM implementation in their organisations and the top management could formulate strategy for implementing these enablers obtained through ISM and fuzzy MICMAC analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Logistics Systems and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
