Measuring by Interpretive Structural Model the Perceived Barriers for GSCM Practices in Indian SME’s
Mustafa Md. Sajid1, Shiva Prasad H C2, Yogesh Pai3, Alapati Vittaleswar4
1Mustafa Md. Sajid PG Scholar, Department of Humanities and Management, MIT, Manipal Academy of Higher Education (MAHE) Manipal, India.
2Shiva Prasad H CProfessor, Department of Mechanical Engineering, School of Automobile, Mechanical, and Mechatronics, Faculty of Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India.
3Yogesh Pai Assistant Professor, School of Management, Manipal Academy of Higher Education (MAHE) Manipal, India.
4Dr. Alapati Vittaleswar Professor*, Department of Humanities and Management, MIT, Manipal Academy of Higher Education (MAHE) Manipal, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12810-12819 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7709118419/2019©BEIESP | DOI: 10.35940/ijrte.D7709.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Environmental protection is the primary responsibility of any contemporary Indian manufacturing organization. The trade barriers and meeting the regularities for the supplier in the developing countries to supply their products globally has to face multiple challenges in both importing and exporting. However, the concept of green practices is relatively new to the Indian manufacturing industry, specifically to small and medium scale industries (SME). The SME finds it challenging to practice green concepts due to a lack of green-related education and practitioners. An extensive literature review carried out to identify the practical barriers to Green Supply Chain Management (GSCM) practices. They identified nine barriers are studied thoroughly and analyzed using Interpretative Structural Modelling (ISM) technique. The identified barriers are classified using Matrice d’Impacts croises-multiplication appliqúe an classment (MICMAC) analysis to determine the driving and dependence power of each barrier. The benefaction from this study is to find out the dominant barriers to GSCM practice in the Indian industry and helps to understand the high priority barriers with strong driving and craving power. The developed model using the ISM technique helps the Indian manufacturing industry to understand interdependencies and contextual relationships of the obstacles.
Keywords: Barriers, Drivers, Green Supply Chain Management, Interpretative Structural Modelling.
Scope of the Article: Data Management .