Developing and fitting a talent-based organization model in social security using mixed techniques

Abstract

In the current competitive and complex environment, social security organizations need new models for attracting and retaining talents that can create a sustainable competitive advantage; in this regard, the use of mixed techniques and the development of a talent-oriented organization model can lead to the identification and development of effective and sustainable solutions. The present research method is an applied research method based on the purpose and a descriptive method based on the method of data collection from the survey branch. This thesis is a mixed research method (qualitative-quantitative). In this type of research method, two qualitative and quantitative research methods are used simultaneously to collect and analyze data. The statistical population in the qualitative section includes experts from the Social Security Organization, which is limited to 20 deputies and top charts of the Social Security Organization. The statistical population in the quantitative section includes managers, employees, and other stakeholders of the Social Security Organization, who were selected randomly. After collecting the data, it was analyzed using MAXQDA and Smart PLS software. The research results are presented in the form of a native paradigm model, whose validity, reliability, and fit have also been confirmed. The research results, aimed at improving talent management methods and approaches in social security organizations, can lead to identifying solutions for optimizing organizational performance and increasing efficiency in dealing with talent-related challenges.