فهرست نشریات علمی دسترسی آزاد ایران

In today’s complex and competitive world, organizations, particularly social security institutions, require innovative approaches for talent management and the utilization of advanced technologies to keep pace with dynamic changes and evolving workplace demands. This study aims to design a talent-oriented organizational model for social security using ANFIS methods. Talent management, as one of the most critical challenges faced by organizations, demands novel and efficient strategies to identify, develop, and retain human talent by leveraging advanced technologies. In this research, analysis of the current needs in social security organizations were conducted to identify and categorize the key factors influencing talent management. Subsequently, an adaptive learning model utilizing neuro-fuzzy networks was developed to identify effective patterns in talent management based on real-world data. The findings of this study demonstrate that integrating artificial intelligence techniques with human resource management processes can enhance the accuracy and efficiency of organizational decision-making. This enables social security organizations to operate with greater flexibility and responsiveness to environmental changes. One of the innovative aspects of this research is the development of a decision support system based on ANFIS, which uses the organization’s historical data to provide optimization recommendations for talent identification and development. Practical applications of this research include improving inclusivity and accuracy in human resource planning and enhancing the effectiveness of training and development programs. This study offers effective solutions not only for social security organizations but also for other industries and organizations, contributing to better talent management and, consequently, improved organizational productivity and efficiency.