درخت حوزه‌های تخصصی

Abstract Purpose: The aim of this study was to predict the job satisfaction in managers and staff of the university units in District 5. Methodology: Among the statistical population of the study, 130 people (55 females and 75 males) were selected by cluster sampling method. Data were collected using job satisfaction, emotional intelligence of Schutt, and job motivation questionnaires. Finding: For data analysis, Pearson correlation coefficient and multi-variable regression analysis were used simultaneously. So, the two predictor variables are a significant predictor of the criterion variable, that is, the variable of job satisfaction. The share of job motivation variable is higher than emotional intelligence. In other words, job motivation 57% and emotional intelligence 31% explain the variable of job satisfaction variance. Discussion: The results showed that there is a significant correlation between job satisfaction, job motivation and emotional intelligence, and on the other hand, emotional intelligence and job motivation are a significant predictor of job satisfaction.

Purpose: The aim of this study was to identify the factors affecting justice-oriented in attracting, retaining and promoting human resources and provide a favorable model. Methodology: This study was applied in terms of purpose and qualitative in terms of implementation. The study population was all articles related to the role of justice-oriented in attracting, retaining and promoting human resources in the scientific databases of Magiran, Scopus from 1991-1992 (227 articles) and managers and human resources experts in government organizations in Tehran in 2018-19. The research sample consisted of 40 articles and 15 experts who were selected according to the principle of theoretical saturation and purposive sampling. Data were collected by filing methods and interviews with specialists and their psychometric indices. Content analysis method was used to analyze the data. Findings: The results showed that the effective factors in justice-oriented in all three processes of recruitment, retention and promotion of human resources included both external and internal factors. For the external factor in all three processes of recruitment, retention and promotion of manpower, four dimensions including cultural (5 common indicators for all three processes of recruitment, retention and promotion of human resources), economic (5 common indicators for all three processes), social (4 indicators Common to all three processes) and political (1 common indicator for all three processes) and for the internal factor three dimensions including management of ethics, values ​​and culture (6 common indicators for all three processes), individual (indicators were different and 4 indicators to attract , 3 indicators for maintenance and 6 indicators for upgrade) and internal indicators (indicators were different and 5 indicators for absorption, 5 indicators for maintenance and 5 indicators for upgrade) were identified. In total, 2 factors, 7 dimensions and 48 indicators were identified and based on that, an appropriate model of factors affecting justice-oriented in attracting, retaining and promoting human resources was designed. Conclusion: According to the research findings, the effective factors in justice-oriented in all three processes of recruitment, retention and promotion of human resources included both external and internal factors

Purpose: The purpose of this study was to present a comprehensive model of empowerment in the Social Security Organization. Methodology: This research was based on the applied purpose and in terms of quantitative and qualitative research method (mixed) and in terms of data collection was descriptive-survey. The statistical population of the study consisted of two groups of experts and thinkers. The first group consisted of university professors whose field of study and field of study was related to the field of research and the second group included organizational experts with a master's degree or higher with managerial and experimental backgrounds related to human resources in the qualitative section after counting the criteria and indicators extracted. From the theoretical foundations, a researcher-made questionnaire based on the Looshe and Likert spectrum was prepared and after passing the Delphi survey, a conceptual model was extracted. Then, in the quantitative part, exploratory factor analysis method was used to identify the model factors and confirmatory factor analysis method was used to fit the model. In order to check the validity of the questions, purposive sampling method was used among organizational and academic experts, of which 15 people were included as a statistical sample. In the second and third stages of validity of the questions, to strengthen the screening process, the snowball method was used to compile the sample, which after saturating the data of 32 final experts for the exploration section and building a conceptual model participated. Statistical analysis was performed using SPSS software to cluster the indicators and create research components and Smart PLS software to confirm the research model. Findings: The results of this study identified 11 components and 37 indicators as the most important factors of comprehensive empowerment and showed that individuals will be empowered individually when intra-individual intelligence, creativity-oriented education, psychological self-knowledge, internal performance, knowledge-based decision making and individual self-efficacy. Together, they will be empowered in the collective, team, and organizational spheres when the culture of bureaucracy, internal reward, fundamental self-efficacy, and interactive policy come together. Conclusion: After exploratory factor analysis and component classification, the fit of the model obtained from the previous step was investigated and confirmed with a good fit.