Architecture of model for Elites lifecycle optimization in Iran: CM and SSM Hybrid Algorithm Methodology

Flourishing the knowledge-based economy, the elite community has been raised as a central driver at the organization level and even in the country. Therefore, in recent years, in order to increase the elite's effectiveness in the process of development of the country, the concept of optimizing the talent life cycle has emerged in the literature of human resource management. Accordingly, the present study aimed to provide a model of factors influencing the optimization of talent life cycle at the Iran National Elite Foundation (INEF), based on a study with developmental-applied approach. The statistical population of the research includes the scientific lasting faces of the country as well as senior managers of the National Elite Foundation. The statistical sample was selected through a purposeful judgment of 25 people. Data collection tools were library studies and semi-structured interviews with experts. Finally, based on the hybrid algorithm of the methodology of soft systems and cognitive mapping, a model of the factors contributing to the optimization of the talent life cycle is presented and then, by comparing the factors in thinking system (conceptual model) with real-world actions (INEF), it is suggested that structural, behavioral, and ground changes be made to optimize the talent lifecycle at the National Elite Foundation.