Changing the energy-based economy to a knowledge-based economy, increasing the level of education of the society, raising the standard of living standards, increasing the international complexities have led to many changes in the management of the organization. To overc
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Changing the energy-based economy to a knowledge-based economy, increasing the level of education of the society, raising the standard of living standards, increasing the international complexities have led to many changes in the management of the organization. To overcome these challenges, future organizations must be able to harness and develop the potential of their talents. Talents are the rarest resource in the current knowledge-based market. In the wake of the globalization of the economy, the downsizing of most public and private organizations, rapid environmental developments and global challenges, the need for organizations to have capable and experienced leaders. Despite the global need and attention to talent, the principles of talent management in all organizations follow the same rules. Talent management includes a set of plans that, in general, make effective use of these individuals to achieve the goals of business and achievement. In this research, with the aim of identifying the variables affecting talent management with the approach of managers' capabilities, Delphi method has been performed by 50 experts. After collecting data and conducting interviews and Delphi method in 2 replications and confirmation of validity and reliability tests using CVR, reflectivity and Cronbach's alpha, the final model is calculated in 3 main components, 14 dimensions and 59 indicators. Among these, management support, engaging talented people, increasing learning capacity, self-centered learning, continuing education, setting criteria for promotion, appreciation and creating internal motivation with an average of 4.9 have been identified as the most effective factors. Finally, the structural model with the partial least squares method was approved by PLS software with a GOF fit coefficient of 0.58.
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