Abstract
Green human resources management (GHRM) is a critical research issue that has emerged in recent decades. This study aims to investigate the effect of GHRM practices on sustainable performance, with green innovation as a mediating variable, in manufacturing firms in Palestine. To this end, a research model was developed, and a self-administered questionnaire was designed and distributed to a random sample of top management personnel in manufacturing firms in Palestine. The research model was assessed via the partial least squares structural equation modeling (PLS-SEM) using the Smart-PLS software, based on a sample of 58 responses. The model revealed that GHRM practices, green innovation, and sustainable performance are implemented at a moderate level. Moreover, the results confirmed that GHRM practices and green innovation have significant positive effects on sustainable performance. GHRM practices also positively and significantly affect green innovation. Green innovation partially mediates the relation between GHRM practices and sustainable performance. The results of this research present a conceptual framework and a guideline for policymakers in manufacturing firms on how to use GHRM practices to strengthen employees’ commitment to the environment in order to maximize sustainable performance. Furthermore, the study provides a holistic view of GHRM practices, green innovation, and sustainable performance; such a perspective is considered a foundation for future research directions and provides empirical evidence about the relationships between these variables.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference86 articles.
1. The World’s Conservation Strategy;Talbot;Environ. Conserv.,1980
2. Brundtland, G.H. (1987). The Top 50 Sustainability Books, Routledge.
3. Ben Eli, M. (2006). Sustainability: Definition and Five Core Principles—A New Framework. Sustain. Lab., 1–12.
4. Sustainable operations modeling and data analytics;Gunasekaran;Comput. Oper. Res.,2018
5. Gayialis, S.P., Kechagias, E.P., Papadopoulos, G.A., and Masouras, D. (2022). A Review and Classification Framework of Traceability Approaches for Identifying Product Supply Chain Counterfeiting. Sustainbility, 14.
Cited by
29 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献