Green Innovation as a Mediator between Green Human Resource Management Practices and Sustainable Performance in Palestinian Manufacturing Industries

结构方程建模 实证研究 样品(材料) 人力资源管理 业务 知识管理 巴勒斯坦 工程类 产业组织 计算机科学 机器学习 哲学 认识论 化学 古代史 历史 色谱法
作者
Mohammad Kanan,Baha Taha,Yahya Saleh,Mohammed Alsayed,Ramiz Assaf,Mohamed Ben Hassen,Elham Alshaibani,Ali Bakır,Weam Tunsi
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:15 (2): 1077-1077 被引量:56
标识
DOI:10.3390/su15021077
摘要

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.

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