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Analysis of interactions among the drivers of green supply chain management

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  • Mohit Tyagi
  • Pradeep Kumar
  • Dinesh Kumar

Abstract

The aim of the present research was to identify and analyse the interactions among drivers of implementing green supply chain management (GSCM) in automobile industries located in National Capital Region (NCR) of India. To meet out the above objective, 11 drivers were identified and analysed for the purpose of developing an ISM-based model; which provide a visible representation of driver's position, based on their driving and dependence nature. The analysis reveals that the driver 'legislative and regulatory compliances' occupy the base position due to its high driving nature. The other drivers namely: improve quality and ISO-14000 certification exists at the top positions and can be seen as an output of ISM model. The findings of this research may enable managers to make appropriate policy decisions and to formulate the strategies towards various enablers/drivers, depending upon the corresponding importance, for the effective implementation of green aspects in the supply chain.

Suggested Citation

  • Mohit Tyagi & Pradeep Kumar & Dinesh Kumar, 2015. "Analysis of interactions among the drivers of green supply chain management," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 7(1), pages 92-108.
    • Handle: RePEc:ids:ijbpsc:v:7:y:2015:i:1:p:92-108
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    References listed on IDEAS

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    Cited by:

    1. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    2. Anish Kumar & Sachin Kumar Mangla & Pradeep Kumar & Stavros Karamperidis, 2020. "Challenges in perishable food supply chains for sustainability management: A developing economy perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1809-1831, July.
    3. Srie Vidhya Janani, E. & Ganesh Kumar, P., 2015. "Evaluating the technical barriers of large scale sustainable wireless sensor network: A resources approach," Resources Policy, Elsevier, vol. 46(P1), pages 134-141.
    4. Luthra, Sunil & Mangla, Sachin Kumar & Xu, Lei & Diabat, Ali, 2016. "Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 342-349.
    5. Shivam Goyal & Dixit Garg & Sunil Luthra, 2021. "Sustainable production and consumption: analysing barriers and solutions for maintaining green tomorrow by using fuzzy-AHP–fuzzy-TOPSIS hybrid framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16934-16980, November.

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