Barriers in Green Lean implementation: a combined systematic literature review and interpretive structural modelling approach

Abstract

Green Lean has recently emerged as an alternative strategy for organisations to pursue both operational and sustainability excellence. The interest on this approach has rapidly risen in both academic and industry circles. However, despite this interest, very limited research has focused on its implementation, and no research has investigated the barriers that hinder the success of such activity. This study investigates the Green Lean implementation barriers and their contextual relationships and effects on the integration and deployment of this approach. A Systematic Literature Review (SLR), Interpretative Structural Modelling and fuzzy Matriced’ Impacts Croise’s Multiplication Appliqée a UN Classement (MICMAC) analyses were carried out. Fifteen barriers were extracted from the SLR and then validated in consultation with industry and academic experts. The Interpretive Structural Modelling (ISM) method was used to understand the relationship between the fifteen barriers and to develop a hierarchical model of these. The different barriers were classified into ‘linkage’ and ‘dependent’ barriers by using MICMAC analysis. The results suggested that all the identified barriers play an important role, and hence can equally act as a significant hurdle to the implementation of Green Lean projects. This study can help managers and policy-makers in better understanding these barriers. Thus, they can be assisted in managing and prioritising barriers towards the successful implementation of Green Lean initiatives for better financial and environmental performance.

Keywords:

• Green Lean
• barriers
• interpretive structural modelling (ISM)
• MICMAC analysis
• systematic literature review (SLR)

Acknowledgements

Authors would like to thank the industrial experts and academicians who have participated in this study for their comments and contributions, as well as Dr S. Azmoun, B. Baadi, A. Mokhles, M. Benzina and E. El Ayachi for their support and enlightenment during this study.