Presenting a quantitative model of political intelligence of public sector human resources through confirmatory factor analysis

Document Type : Original Article

Authors

1 Management/Humanities/Azad University/Tabriz/Iran

2 Assistant Professor of Business Administration, Marand Branch, Islamic Azad University, Marand, Iran.

3 Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran

10.22080/shrm.2023.4166

Abstract

This study has been conducted with the aim of presenting the model of political intelligence of human resources with the approach of social accountability. The method of this quantitative research is correlational and descriptive, and quantitative method was used to present the model of political intelligence of human resources, which are 488 people, And after sampling through Cochran's formula, 216 sample items were selected and this number of questionnaires were distributed and completed and collected by . The validity of the tool was confirmed through the advice and guidance of the supervisors, and the reliability of the tool was also confirmed through the calculation of Cronbach's alpha coefficient above 0.7. and inferential statistics were used to quantitatively analyze the model from confirmatory factor analysis in the form of SPSS25 and Lisrel 8.8 software. Statistical analysis was conducted on 31 categories and 103 subcategories (causal category including 4 themes, contextual category 5 themes, interventional category 5 themes, main core 6 themes, strategies 6 themes and consequences 5 themes) that formed the conceptual framework of the research. the findings, it can be said that the current proposed model can increase the political intelligence of public sector managers by emphasizing accountability. And the significant T-value test, which was observed to be greater than 1.96, shows the fit of the structural model and the confirmation , And the results of the structural model also showed that research variables have a positive effect on each other with path coefficient and T-value. and finally,

Keywords

References

 
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Journal of Sustainable Human Resource Management
Volume 5, Issue 8
March 2023
Pages 243-219

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