Modeling factors affecting the future of artificial intelligence in Iranian sports

Document Type : Research Paper

Authors

1 PhD student in Sports Management, Islamic Azad University, Tabriz branch

2 Assistant Professor of Physical Education Department of Islamic Azad University, Tabriz Branch

3 Associate Professor of Sport Managment, Azad University of Tabriz

4 Assistant Professor at Tabriz Azad University

10.30473/arsm.2025.72860.3931

Abstract

The current research was conducted with the aim of modeling the factors affecting the future of artificial intelligence in Iranian sports. The current research is of applied, quantitative and survey type. The participants in the research were 160 specialists in the fields of industrial management, business economics, artificial intelligence, computer science and sports management, as well as industrialists and sports producers, managers of private and public sports clubs and sports teams and those responsible for organizing competitions, who according to the software G*Power and were selected in a targeted and accessible way. Considering that the present study is derived from a doctoral dissertation, the data collection tool in the present study was a researcher-made questionnaire taken from the qualitative part of the dissertation. Data analysis was done in two descriptive stages and structural equation modeling test in spss23 and smartPLS3.1.1 software and at a significance level of 0.05. The results showed that the research model has a good fit. The results also showed that technology acceptance, economic factors, social factors, infrastructure factors, educational factors and management factors positive and significant influence and political factors and inhibiting factors have a negative and significant effect on the future of artificial intelligence in Iranian sports. Therefore, in order to optimally use artificial intelligence in the future of Iranian sports, infrastructure should be provided and political and inhibiting factors should be removed.

Keywords

Main Subjects

Applied Research of Sport Management
Volume 14, Issue 2 - Serial Number 54
September 2025
Pages 159-172

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History

  • Receive Date: 22 November 2024
  • Revise Date: 07 March 2025
  • Accept Date: 27 October 2025

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