Redesign the model of selection and appointment of managers of the social security organization based on competency models with a data-based approach

The Social Security Organization, as the largest insurance and treatment institution in the country, has a great responsibility to the members of the society. Conceptualizing the model of selection and appointment of managers of Social Security Organization based on competency models will have significant consequences. Therefore, conducting research to select and appoint managers based on competency to develop human resources and take advantage of opportunities has been neglected.

This study aimed to conceptualize the model of selection and appointment of managers of the Social Security Organization based on competency models with the foundation data approach.

This study is developmental and cross-sectional research. The statistical population of the qualitative section is university professors and managers of the Social Security Organization. By the purposive sampling method, 13 people participated in semi-structured interviews. Data were analyzed by the Grounded theory approach and Maxqda software.

The coding of interviews has shown that Organizational support and knowledge management are causal conditions that promote the implementation of the competency models in the organization (central phenomenon). The organizational culture and the rule of law are contextual conditions. The Environmental and organizational factors are intervening conditions that influence the strategies (including human resource empowerment, the implementation of information systems in the appointment of managers, and strategic organization management). It will help the selection and then ordination of qualified managers.

Findings show that the selection and appointment of competent managers of the organization depend on several factors, including implementation of the competency model and empowerment of human resources, and the necessary conditions for its establishment must be provided by individuals and the environment.