Designing a structural model of tendency to migration in national team athletes of the Islamic Republic of Iran

Document Type : Research Paper

Authors

1 PHD Candidate of Sport Management, Bu-Ali Sina University

2 Professor of sport management, Allameh Tabatabai University, tehran, iran

3 Assistant Professor of sport management, Bu-Ali Sina University

4 associate Professor of Payame Noor University

Abstract

The aim of present study was to Design a structural model of tendency to migration in national team athletes of the Islamic Republic of Iran. This research was descriptive-correlational type and based on structural equations. The statistical population included all athletes in the national teams of the Islamic Republic of Iran, of which 383 available people (N=383) were selected as a statistical sample. The researchers collected information from 26 in-depth interviews with the experts and researchers in the subject, and the data from the interview were coded and analyzed. Then, a questionnaire was designed in accordance with the obtained codes in the form of 36 items with a five-point Likert scale, and the validity and reliability of it were confirmed. The results of the structural model showed that the identified individual, managerial, structural and facility-welfare factors are appropriate to study the tendency of athletes to migrate and there is a high correlation between these factors. Also, according to the results of Friedman test, there is a significant difference between the ranking of athletes' tendency to migrate (P<0.01). According to the results of the present study, it seems that organizations and institutions in charge of sports can take effective steps to reduce the migration of the most valuable sports resources by paying sufficient attention to the important identified factors and adopting appropriate strategies related to these factors.



Keywords

Migration tendency, Sports migration, National team athletes, structural model

Keywords

Applied Research in Sport Management
Volume 11, Issue 4 - Serial Number 44
Spring 2023
June 2023
Pages 117-131

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History

  • Receive Date: 16 June 2022
  • Revise Date: 19 September 2023
  • Accept Date: 13 December 2022

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