Identification and modeling of green supply chain management in small and medium sized industries

Document Type : Research Paper

Authors

1 Associate Professor, Management, Accounting and Economics Faculty, Yazd University, Yazd, Iran

2 M.A Student, Management, Accounting and Economics Faculty, Yazd University, Yazd, Iran

Abstract

In the past few decades, environmental concerns about manufacturing operations have led various organizations to take advantage of green actions in different supply chain processes, as green supply chain management as an important organizational philosophy in reducing environmental risks and a preventive approach. To increase environmental performance and achieve competitive advantage in organizations is considered. The main purpose of the present study is to identify the key indicators of green supply chain enablers and model presentation in this regard and to select the best supplier from the point of view of environmental considerations. This study is applied research and is classified as descriptive-correlational. This section first identifies the factors affecting green supply chain enablers using semi-structured interviews with small and medium business managers in Isfahan. It is also presented in the quantitative part of the index ranking and finally the proposed model. The statistical population of this study is composed of all small and medium sized industries active in Isfahan province. Using simple random sampling (available), a number of companies were identified in Isfahan industrial town and questionnaires were distributed among them and the results were indexed using PLS software. The results of the interview findings on factors affecting green supply chain enablers are categorized into five selective codes of e-commerce factors, internal operations, logistics success, comprehensive quality management and innovation, and the results of factor prioritization indicate that Internal operations (0.508%) had the greatest impact on green supply chain enablers and innovation (0.317), logistics success (237), e-commerce (0.222) and comprehensive quality management (0.221). The next priorities are.

Keywords

References

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Journal of Business Administration Researches
Volume 12, Issue 23
November 2020
Pages 169-193

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