Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS

• Published in: Journal of environmental management Vol. 226; pp. 201 - 216
• Main Author: Gupta, Himanshu
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 15.11.2018
• Subjects: BWM; Fuzzy TOPSIS; GHRM; Manufacturing organizations; BWM; Manufacturing organizations; GHRM; Fuzzy TOPSIS
• ISSN: 0301-4797; 1095-8630
• DOI: 10.1016/j.jenvman.2018.08.005

Over the past few years, the need for sustainable environmental management has increased rapidly and green management has emerged as an important tool for the same. The role of Green Human Resource Management (GHRM) practices in environmental management and green management is widely known but still lesser discussed in academic literature. Thus, realizing the importance of GHRM in environmental management by organizations, this study attempts to identify the important practices of GHRM and evaluate the performance of manufacturing organizations using GHRM practices. A three-phase methodology is used for the same. The first phase involves identification of GHRM practices in manufacturing organizations through literature review and expert opinion. The second phase involves ranking of GHRM practices using Best Worst Method (BWM) and third phase methodology involves evaluating manufacturing organizations on the basis of GHRM practices using Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This research can help managers to identify important practices of GHRM for their organization. This study also provides a framework for managers to evaluate their organization's performance on the basis of GHRM practices. •The paper aims to identify the various practices of GHRM.•The paper employs a novel BWM and Fuzzy TOPSIS methodology.•The paper aims at evaluating organization performance on GHRM practices.