Design and Explanation of Green Human Resource Management Model and its Effect on Environmental Performance (Case study: Mashhad Municipality)

To achieve sustainable development, many organizations are planning to employ environmental management systems Therefore, the establishment of management systems such as environmental management systems and green human resources can play a significant role in achieving this goal. This research aims to present a Green Human Resource Model (GHRM) and to define the indicators and components of HRM. At first, using the Delphi method, a rough questionnaire has been developed and then, using a snowball sampling method, the data was collected through semi-structured interviews with human resources experts including management and environmental science professors and human resources specialists in Mashhad’s municipality. After the analysis of the recorded interviews, the green HRM components were identified. In the quantitative phase, a questionnaire was developed using the data collected from the Delphi steps and gathered from the experts. The validity and reliability of the questionnaire were tested using the construct validity method. Utilizing the Cochran formula, 384 municipality staffs take part in the study. Applying structural equations and using the STATA software, the hypotheses were checked the results are as follow: out of eight indicators regarding HRM model, education development and employees’ participation enhancement were not statistically significant. However, the other 6 indicators influenced Mashhad’s municipality environmental performances. According to the estimated standard coefficients, the green development index and green organizational culture development have had the most impact on Mashhad municipality’s environmental performance. The other important factors include green monitoring and evaluation indices, managerial relationships development, development of rewards and compensation for green services and finally, the green choice development. These indicators have had the highest impact on environmental performance, respectively.