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ارائه و تبیین مدل کمی هوشمندی سیاسی منابع انسانی بخش دولتی ایران از طریق تحلیل عاملی تأییدی.
- Source :
- Journal of Sustainable Human Resource Management; Spring/Summer2023, Vol. 5 Issue 8, p219-243, 25p
- Publication Year :
- 2023
-
Abstract
- This study was conducted with the aim of presenting the model of political intelligence of human resources with the approach of social accountability of the public sector of Iran. The method of this research is correlational and descriptive, and a quantitative approach was used to present the model of political intelligence of human resources. The statistical population of the study was 488 people, from whom 216 subjects were selected through Cochran's formula sampling. The tool used in this research was a questionnaire, which was distributed and completed by the participants. The validity of the tool was confirmed through the advice and guidance of the supervisors, and its reliability was also calculated through Cronbach's alpha coefficient above 0.7. The inferential statistics were used to quantitatively analyze the model through confirmatory factor analysis with the help of SPSS25 and Lisrel 8.8 software. Statistical analysis was conducted on 31 categories and 103 subcategories (causal category including 4 themes, contextual category including 5 themes, interventional category including 5 themes, main core including 6 themes, strategies including 6 themes, and consequences including 5 themes) that formed the conceptual framework of the research. Based on the findings, it can be said that the current proposed model can increase the political intelligence of public sector managers by emphasizing accountability. Moreover, the significant T-value test, which was observed to be greater than 1.96, shows the fit of the structural model and the confirmation. The results of the structural model also showed that research variables have a positive effect on each other with path coefficient and T-value. Finally, other indicators of the fit of the structural model also helped to confirm the quantitative and conceptual model, and in the end, some suggestions were presented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Persian
- ISSN :
- 27173836
- Volume :
- 5
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Journal of Sustainable Human Resource Management
- Publication Type :
- Academic Journal
- Accession number :
- 175150074
- Full Text :
- https://doi.org/10.22080/shrm.2023.24215.1372