点击次数：

论文类型：期刊论文

发表时间：2015-12-01

发表刊物：RESOURCES POLICY

收录刊物：EI、SSCI、SCIE、Scopus

卷号：46

页面范围：86-100

ISSN号：0301-4207

关键字：Green supply chain practices; Program evaluation; Rough set theory; Mining industry; Information theory

摘要：Environmental issues from the extractive industries and especially mining are prevalent and maleficent. An effective way to manage these pernicious environmental problems is through organizational practices that include the broader supply chain. Green supply chain practices and their role in mining industry strategy and operations have not been comprehensively addressed. To address this gap in the literature, and building upon the literature in general green supply chain management and environmental decision tools, we introduce a comprehensive framework for green supply chain practices in the mining industry. The framework is categorized into six areas of practice, with detailed practices described and summarized. The green supply chain practices framework is useful for practical managerial decision making purposes such as programmatic evaluation. The framework may also be useful as a theoretical construct for empirical research on green supply chain practices in the mining industry. To exemplify the practical utility of the framework we introduce a multiple criteria evaluation of green supply programs using a novel multiple criteria approach that integrates rough set theory elements and fuzzy TOPSIS. Using illustrative data we provide an example of how the methodology can be used with the green supply chain practices framework for the mining industry. This paper sets the foundation for significant future research in green supply chain practices in the mining industry. (C) 2014 Elsevier Ltd. All rights reserved.