Designing a Green Human Resource Management Model with Emphasis on Quality Management Systems in Ardabil Hospitals

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective

The objective of this study was to design a green human resource management (HRM) model with an emphasis on quality management systems in Ardabil hospitals.

Methodology

This research was conducted as a developmental and descriptive study in two stages: Delphi and survey. In the first stage, the statistical population consisted of hospital managers and staff from Ardabil University of Medical Sciences, selected through purposive sampling with a sample size of 30. In the second stage, the population included hospital clients with a minimum of a high school diploma, and random sampling was applied to 384 participants. Data collection tools were researcher-made questionnaires, consisting of open and closed questions in the first stage and only closed questions in the second stage. Data were analyzed using a two-round Delphi method in the first stage and confirmatory factor analysis with Smart PLS software in the second stage. Convergent and divergent validity methods were employed to ensure validity, and Cronbach's alpha, homogeneity reliability, and composite reliability were used to assess reliability.

Findings

The findings showed that the green HRM indicators with an emphasis on quality management systems in Ardabil hospitals include the dimensions of standards, green service compensation, accountability, green attitude, green recruitment, green leadership, and requirements. These dimensions had a significant impact on green HRM. In the second stage, 32 final indicators were evaluated, and the conceptual model of the study showed a good fit.

Conclusion

The results of this study suggest that green HRM, with an emphasis on quality management systems in Ardabil hospitals, can contribute to improving performance and sustainability in healthcare by identifying and implementing the identified indicators.

Language:
Persian
Published:
Journal of Dynamic Management and Business Analysis, Volume:3 Issue: 3, 2024
Pages:
195 to 209
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