Modeling the enablers of green supply chain management

Abstract

Purpose The purpose of this paper is to identify and develop the relationships among the green supply chain management enablers (GSCMEs), to understand mutual influences of these GSCMEs on green supply chain management (GSCM) implementation, and to find out the driving and the dependence power of GSCMEs. Design/methodology/approach This paper has identified 35 GSCMEs on the basis of literature review and the opinions of experts from academia and industry. A nationwide questionnaire-based survey has been conducted to rank these identified GSCMEs. The outcomes of the survey and interpretive structural modeling (ISM) methodology have been applied to evolve mutual relationships among GSCMEs, which helps to reveal the direct and indirect effects of each GSCMEs. The results of the ISM are used as an input to the fuzzy Matriced’ Impacts Croisés Multiplication Appliquéeá un Classement (MICMAC) analysis, to identify the driving and the dependence power of GSCMEs. Findings Out of 35 GSCMEs 29 GSCMEs (mean⩾3.00) have been considered for analysis through a nationwide questionnaire-based survey on Indian automobile organizations. The integrated approach is developed, since the ISM model provides only binary relationship among GSCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and the dependence power of GSCMEs. Research limitations/implications The weightage for ISM model development and fuzzy MICMAC are obtained through the judgment of few industry experts. It is the only subjective judgment and any biasing by the person who is judging might influence the final result. Practical implications The study provides important guidelines for both practitioners, as well as the academicians. The practitioners need to focus on these GSCMEs more carefully during GSCM implementation. GSCM managers may strategically plan its long-term growth to meet GSCM action plan. While the academicians may be encouraged to categorize different issues, which are significant in addressing these GSCMEs. Originality/value Arrangement of GSCMEs in a hierarchy, the categorization into the driver and dependent categories, and fuzzy MICMAC are an exclusive effort in the area of GSCM implementation.

Management of Green Procurement in Small and Medium-Sized Manufacturing Enterprises in Developing Economies

“…Research has also shown that green procurement has a direct impact on the cost-effectiveness of an enterprise, since such an enterprise pays more attention to developing its own capacity to increase efficiency (Song et al, 2017). Enterprise executives should develop short-term and long-term green procurement measures (Malviya, 2017). The results of Ananda et al (2015) indicate that green supply chain management has a significant impact on the economic performance of businesses.…”

Measuring by Interpretive Structural Model the Perceived Barriers for GSCM Practices in Indian SME’s

“…Due to lack of motivation, employees complain to each other and put minimal efforts into their job and fail to finish their assignments that,in turn, affect organizations to achieve their goals. Top Management support [5], [6], [7], [8], [9] [10], [11], [12], [18], [19], [20], [21], [22] B2 Government support [4], [5], [6], [8] [9], [11], [12], [16], [19], [23],…”

“…Organisational culture [4], [5], [6] [9] [10] [11] [12], [19], [27] B5 Environmental ethical standards [6], [22] B6 Benchmarking [22] B7 Performance measurement system [5], [22] B8 Green design and education [4], [6], [8], [12], [16],…”

Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method

“…There are many concepts of GSCM, which are not new. However, there is no clear and perfect policy for GSCM implementation in organizations [12]. To improve the performance of GSCM implementation, a set of reasonable and viable measures need to be proposed and prioritized in a systematic way [13].…”