The Impacts of Green Human Resource Management Practices on Employees’ Organizational Citizenship Behavior
DOI:
https://doi.org/10.52131/pjhss.2023.1101.0359Keywords:
Green Human Resource Practices, Organizational Citizenship Behavior, Collective Job Satisfaction, Organizational Sustainability, Green Collective CommitmentAbstract
This study aims to investigate the impact of green human resource management (GHRM) practices on organizational citizenship behavior (OCB) and to explore the potential benefits of implementing GHRM practices in organizations across the world. The study adopts a quantitative research design and collects data from 299 organizations that have implemented GHRM practices. The data are gathered through a survey that includes four variables, namely, independent variables, mediating variables, and dependent variables, with 44 constructs adopted from existing literature. The study reveals that human resource departments play a crucial role in promoting GHRM practices in organizations. The research also highlights the importance of GHRM practices, including green collective commitment, collective job satisfaction, and green performance management, in promoting OCB. Additionally, the study introduces the concept of green functions, which adds to the current literature on GHRM practices. The study provides recommendations for implementing effective GHRM practices to promote green practices in organizations. This study adds to the existing literature by examining the mediating effects of collective job satisfaction and Green Collective Commitment between green performance management and OCB in the public education sector of Pakistan. The research provides detailed insights into the implementation of GHRM practices in the education sector, which is a relatively underexplored area. The study's findings can be valuable for organizations worldwide that aim to promote green practices and create a better work environment for their employees.
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Copyright (c) 2023 Rao Arif Mehmood Khan, Shakeel Sarwar
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.