Governmental Organizations

Purpose : Shared leadership is a form of leadership in which all organizational employees have an important role. As a result, the purpose of this research was providing a model for shared leadership in governmental organizations. Methodology : This study was cross-sectional from type of descriptive-analytical. The research population was managers and deputies of governmental organizations of Isfahan city in 2020 year, which according to the Cochran's formula the sample size estimated 214 people who were selected by cluster random sampling method. The research instrument was a 98-item researcher-made questionnaire whose content validity was confirmed by 10 experts after removing 6 items and its reliability was obtained by Cronbach's alpha method 0.97. After data collected by researcher-made questionnaire were analyzed with using exploratory factor analysis and structural equation modeling in SPSS and Smart PLS software. Findings : Findings showed that shared leadership in governmental organizations had eight factors of individual, group, environmental, administrative health, administrative corruption, work ethic, political behavior and Islamic management; So that the factor load of all items and the eight mentioned factors was higher than 0.40, the average variance extracted of the eight factors was higher than 0.50 and the Cronbach's alpha reliability and the combined reliability of the eight factors was higher than 0.80. Also, the model of shared leadership in governmental organizations had a good fit and shared leadership had a direct and significant effect on all eight factors (P<0.05). Conclusion : The results indicated the existence and effective role of eight factors of individual, group, environmental, administrative health, administrative corruption, work ethic, political behavior and Islamic management on shared leadership. Therefore, in order to improve and promote shared leadership in governmental organizations can provide the ground for improving the eight mentioned factors.

Purpose: The current research was conducted with the aim of validating the structural model of open data governance in line with the health of the administrative system in e-government in government organizations. Method: This research, with a practical purpose, was based on a descriptive survey implementation method. The statistical population of the research included the managers of the country's tax affairs organization and several university professors, all of whom (18 person) were selected as a statistical sample. The data collection tool in this research was a researcher-made questionnaire, and confirmatory factor analysis, structural equation modeling, and Smart PLS software were used for data analysis. Findings: The results of the research show that the structural model of open data governance in the direction of administrative health in e-government at governmental organizations includes six components: platforms (with the dimensions of intra-organizational platforms and external platforms), strategies (with the dimensions of common strategies—internal and external—, intra-organizational strategies, and extra-organizational strategies), intervening conditions (with common dimensions—internal and external), causal category (with dimensions of internal-external organizational factors, individual and social factors), central category, and consequences (with common dimensions—internal and external). Conclusion: Intra-organizational and extra-organizational platforms have a positive and significant effect on common strategies. The strategies of this research have a positive and significant effect on the results. The impact of intervening conditions on the central category is positive and significant. The effect of the causal category of this research, including individual factors and social factors, on the central category, is negative and significant because the regression coefficient has become negative. The impact of the central category on strategies has become negative, but this impact is not significant.