Interpretative Structural Modeling for Assessing Incentives Identified in the Implementation of Green Supply Chain Management
Subject Areas : Air PollutionMohamad Mirabi 1 , Zahra Delshad 2
1 - Assistant Professor, Department of Industrial Engineering, Meybod University, Meybod, Iran
2 - Young and Elite Researchers Club, Yazd Branch, Islamic Azad University, Yazd, Iran (Correspondence Officer)
Keywords: Environmental, drivers, Green Supply Chain Management, Interpretative Structural Method,
Abstract :
Green supply chain management activities can improve company reputation and customer satisfaction and Environment initiatives and resource efficiency, thereby improving the company's economic performance. Among the factors that influence the adoption of green supply chain management, external stimuli have more power than inter-organization. The improvement of the quality of goods and services, cost savings and increased efficiency in the manufacturing industry are known as powerful stimuli. In this research, firstly, by reviewing the theoretical issues, the main factors of the green supply chain drivers have been identified in one of the manufacturing industries and then, using the method of interpretive structural modeling, the relationships between the factors have been analyzed. The results of this study indicate that the identified factors can be classified into five levels based on the interpretive structural model, and the factor of international and state laws and regulations for the organization's commitment to the implementation of green supply chain management has been identified as the most influential factor. Having it can cause many other factors. Also, in terms of the degree of penetration and dependence, factors that are more important and at lower levels, most of them are located in an independent region with high penetration and low degree of dependency.
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