Document Type : Original Article
Authors
1
Assistant Professor, Department of Sport Management, Faculty of Sport Sciences and Health, University of Tehran, Tehran, Iran
2
Assistant Professor of Physical Education Instruction at shahid Chamran Camps, Theran, Farhangian University Tehran, Iran
3
PhD Graduate, Department of Sport Management, Faculty of Physical Education and Sport Sciences, Allameh Tabataba'i University, Tehran, Iran
4
Ph.D in Sport management, Lecturer in the Department of Sports Science, Non-Governmental-Non- Profit Eyvanekey University Semnan, Iran
Abstract
The purpose of this study was to investigate the role of talent management in organizational successor education in Tehran's physical education managers. The research method was descriptive and correlational. The statistical population of the study consisted of all managers and directors of the departments of physical education and health of the Directorate General of Education in Tehran province, based on the information of 55 people. To collect data and measure the variables of the model, Jokar talent management questionnaire (1394) and Rothwell Succession (2002) were used. Its reliability was confirmed using Cronbach's alpha coefficient and its reliability and its validity by using convergent validity (confirmation of factor load and AVE value) and diagnostic validity. To analyze the data, descriptive statistics (tables and graphs of frequency distribution) and inferential statistics (Pearson correlation) and confirmatory factor analysis were used. For presenting the model, structural equation modeling technique was used. Finally, the results of the research findings showed that there is a positive and significant relationship between talent management and its dimensions, attracting and identifying talents, selecting and employing talents, developing talents, employing talents, keeping talents, attitudes and attitudes toward talent management with success. Based on the results of the research model, it was found that using talent was a more powerful predictor of successor.
Keywords