abolfazl asgharnia

The strategic value of human resources comes from the fact that, apart from other passive resources, it has decision-making power and authority and a competitive advantage over other resources. Therefore, this research aimed to provide a comprehensive empowerment model in a social security organization.

This research is based on the practical purpose and in terms of quantitative and qualitative research methods (mixed) and in terms of descriptive-survey data collection. In the qualitative section, after counting the metrics and indicators extracted from the theoretical foundations, a researcher-made questionnaire was prepared based on the Lavash and Likert scales, and after going through the steps of the Delphi survey, a conceptual model was extracted. Then, in the quantitative part, the exploratory factor analysis method was used to identify the model's factors, and the confirmatory factor analysis method was used to fit the model. The statistical population of the research included two groups of experts and experts. The first group includes university professors whose academic field and teaching field are related to research, and the second group includes organizational experts with a master's degree or higher and with organizational and experimental records related to human resources. Statistical analysis was done using Spss software to cluster indicators and create research components and Smart Pls software to confirm the research model.

This research identified 11 components and 37 indicators as the most important factors of comprehensive empowerment. It also indicated that people would be individually empowered when they combine intrapersonal intelligence, creativity-oriented education, psychological self-knowledge, internal performance, knowledge-based decision-making, and individual self-efficacy. They will be empowered in the collective, team, and organizational fields when the culture of adhocracy, internal reward, fundamental self-efficacy, and interactive policy are put together.

The research results show that the target community has approved the extracted dimensions, components, and indicators.

The purpose of this study was to present a comprehensive model of empowerment in the Social Security Organization.

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 masterchr('39')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.

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.

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.

The aim of the study is to prioritize the factors of the comprehensive empowerment model in the treatment sector of the Social Security Organization through hierarchical analysis (AHP) method. The research method is descriptive and analytical and according to different types of descriptive research, in this project it is a survey or field finding type. The statistical population of the study is experts who have been selected as experts as a sample with the membership conditions of 32 people. The factors of the comprehensive empowerment model had 2 dimensions (individual and collective) and 11 components and 28 indicators. Expert Choice analysis software was performed. The results of the hierarchical pairwise comparison survey showed that the component of creativity-based education plays the most important role in empowerment in the individual dimension, which shows that this component should be more in the organization's programs and in the collective part the component of participatory leadership This dimension has shown that leadership will play a valuable role in the organization's excellence in teams and groups. Which shows the importance of these indicators and the need to pay attention to these issues in comprehensive empowerment. Therefore, in general, the need to pay attention to categories can increase the level of empowerment to an acceptable level, and it is necessary for managers and trustees in organizations to pay more attention to the components of empowerment and the indicators that affect it.