Structural Modeling of the Effect of Green Human Resource Management on Green Behavior with the Mediating Role of Environmental Awareness and the Moderating Role of Managers’ Green Commitment

Document Type : Original Article (Quantified)

Authors

1 1- Department of Management, Faculty of Management-Economics-Accounting, Payame Noor University, Tehran, Iran

2 2- Department of Management, Faculty of Management-Economics-Accounting, Payame Noor University, Tehran, Iran

3 Department of Accounting, Faculty of Management, Economics and Accounting, Payame Noor University, Tehran, Iran

Abstract
This study aims to investigate the impact of Green Human Resource Management (GHRM) on green behavior, considering the mediating role of environmental awareness and the moderating role of managers’ green commitment within the food industries of Zahedan. In terms of purpose, the research is applied; in terms of execution, it is quantitative; and in its nature and method, it is descriptive-correlational. Data were collected using standardized questionnaires based on a 5-point Likert scale. Content validity was confirmed by experts, and reliability was assessed using Cronbach’s alpha and Composite Reliability (CR). Furthermore, construct validity was evaluated through three methods: structural validity (outer model), convergent validity (AVE), and discriminant validity. The AVE value for all variables was estimated to be greater than 0.5.Data analysis was performed using SPSS and SmartPLS 3 software. The results of Structural Equation Modeling (SEM) indicated that green human resource management, environmental awareness, and managers’ green commitment all play a significant role in reinforcing employees’ green behaviors and advancing the organization’s environmental goals. Additionally, environmental awareness as a mediator and managers’ commitment as a moderator facilitate and strengthen the path toward institutionalizing eco-friendly behaviors and adopting a sustainable professional lifestyle.

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  • Receive Date 19 April 2026
  • Revise Date 11 May 2026
  • Accept Date 01 June 2026