Investigating the Relationship Between the Extent of Artificial Intelligence Utilization and Performance Evaluation of Sports Managers

Document Type : Original Article

Authors

1 1- MSc of Sports Management, Department of Sports Sciences, University of Qom, Qom, Iran

2 2- MSc of Sport Injuries and Corrective Exercise, Faculty of Physical Education and Sport Sciences, University of Guilan, Rasht, Iran

10.22091/its.2024.3484

Abstract

This study aims to investigate the performance of sports managers in relation to the use of artificial intelligence (AI) in sports management. The research follows a descriptive-correlational methodology, with a sample of 70 sports managers from both public and private sectors in Mazandaran Province in 2025 (1404 Iranian calendar year). Data were collected using two validated questionnaires: Chen et al.’s (2022) AI Management questionnaire and Kambur’s (2022) AI Performance Evaluation questionnaire. Statistical analysis was conducted using SPSS version 25, including descriptive statistics (mean, standard deviation) and inferential statistics (Pearson correlation coefficient). Results indicate a statistically significant positive relationship between AI-based decision-making, AI skills, AI inclination, total AI management score, and the overall impact of AI on performance evaluation (p < 0.001). These findings suggest that integrating AI into sports management enhances efficiency, decision-making accuracy, and overall performance. This study contributes to understanding how AI can be leveraged to improve managerial practices in the sports sector.

Keywords

Information technology and sports
Volume 1, Issue 1
April 2025
Pages 125-137

Files

History

  • Receive Date: 07 December 2024
  • Revise Date: 12 January 2025
  • Accept Date: 25 January 2025

Share

How to cite

Statistics