Advantages and disadvantages of artificial intelligence in sports events

Document Type : Original research papers

Authors

1 faculty

2 Assistant Professor, Department of Sports Management, Payame Noor University, Tehran, Iran

3 Assistant Professor, Department of Sports Management, Payam Noor University, Tehran, Iran.

Abstract

The aim of this study was to identify the advantages and disadvantages of implementing artificial intelligence in sports events. The research followed a mixed research design, specifically a sequential exploratory approach, beginning with qualitative research and then transitioning to quantitative research. Data for the study were collected in the field. Study's population consisted of two parts: qualitative and quantitative. For the qualitative section, 15 experts in sports management were interviewed. In the quantitative section, the population included sports management elites, such as faculty members from physical education universities under the Ministry of Science, as well as managers and executive experts in the country's sports industry. The sample for this section was selected using a stratified-random sampling method. To analyze the data and determine the advantages and disadvantages of using artificial intelligence in sports events, the Delphi method was employed in three stages. The result of this process was a questionnaire consisting of 45 indicators across 11 components for the advantages section, and 12 indicators across 4 components for the disadvantages section. The questionnaire was compiled using a Likert scale. The face and content validity of the questionnaire were confirmed by 15 experts, and its reliability was assessed in a preliminary study involving 30 participants, yielding a value of 0.82. Additionally, exploratory factor analysis was conducted using SPSS software to analyze the data. Based on the research findings, the main advantages of using artificial intelligence in sports events were identified as refereeing, recruitment and selection of technical staff and players, analysis of player performance and information, and news agencies. On the other hand, the main disadvantages were found to be high cost, lack of human interaction between coaches and athletes, and dependence on artificial intelligence.

Keywords

Main Subjects

References

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History

  • Receive Date: 14 July 2023
  • Revise Date: 09 March 2024
  • Accept Date: 19 May 2024

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