Author(s): Hamideh Shekari | Skandar Shirazi | Mohamad Ali Afshari | Said Mehdi Veyseh
Journal: Management Science Letters
ISSN 1923-9335
Volume: 1;
Issue: 4;
Start page: 541;
Date: 2011;
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Keywords: Supply chain Factor analysis | Green supply chain management | Factor analysis
ABSTRACT
Green supply chain management (GSCM) has emerged as a proactive approach for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. The aim of this paper is to determine and model the drivers of GSCM to put environmental activities into practice. Thirty-four measurement items are developed on the basis of opinions from industrial experts and the literature and the necessary data are collected. To validate the measurement scales for GSCM, we perform a factor analysis. The results show that a six-factor measurement model (including internal environmental management, green purchasing, cleaner production, recovery, eco-design and pollution) fits the data acceptably. All of the measurement items significantly loaded on the constructs on which they were hypothesized to load. These results gave us confidence that the measures are indeed valid and reliable.
Journal: Management Science Letters
ISSN 1923-9335
Volume: 1;
Issue: 4;
Start page: 541;
Date: 2011;
VIEW PDF


Keywords: Supply chain Factor analysis | Green supply chain management | Factor analysis
ABSTRACT
Green supply chain management (GSCM) has emerged as a proactive approach for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. The aim of this paper is to determine and model the drivers of GSCM to put environmental activities into practice. Thirty-four measurement items are developed on the basis of opinions from industrial experts and the literature and the necessary data are collected. To validate the measurement scales for GSCM, we perform a factor analysis. The results show that a six-factor measurement model (including internal environmental management, green purchasing, cleaner production, recovery, eco-design and pollution) fits the data acceptably. All of the measurement items significantly loaded on the constructs on which they were hypothesized to load. These results gave us confidence that the measures are indeed valid and reliable.