Formulation and Fit of a Talent-Oriented Organizational Model in Social Security Using a Mixed-Method Technique

Abstract

In today’s competitive and complex environment, social security organizations require novel models for attracting and retaining talent that can create sustainable competitive advantages. In this regard, the use of mixed-method techniques and the development of a talent-oriented organizational model can lead to the identification and development of effective and sustainable solutions. The present study is applied in terms of its objective, and descriptive-survey in terms of data collection method. This dissertation employs a mixed-method research design (qualitative–quantitative). In this approach, both qualitative and quantitative methods are simultaneously used for data collection and analysis. The qualitative research population includes experts from the Social Security Organization, limited to 20 individuals from among the deputies and top-level executives. The quantitative research population consists of managers, staff, and other stakeholders of the Social Security Organization, who were selected randomly. The data were analyzed using MAXQDA and Smart PLS software. The findings of the study are presented in the form of a localized paradigmatic model, the validity, reliability, and fit of which have been confirmed. The research findings, aimed at improving methods and approaches to talent management in social security organizations, can contribute to identifying strategies for optimizing organizational performance and enhancing efficiency in addressing talent-related challenges.