Journal of Information Systems Engineering and Management

Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI)
Weiwei Jiang 1 2 * , Mohamad Nizam Bin Nazarudin 3, Nur Shakila Mazalan 4
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1 Ph.D candidate, Centre of Community Well-being & Education, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
2 Instructor, School of General Studies, Zhangzhou Institute of Technology, Zhangzhou, Fujian, China
3 Doctor, Professor, Centre of Community Well-being & Education, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
4 Doctor, Centre of Community Well-being & Education, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 3, Article No: 24782
https://doi.org/10.55267/iadt.07.14849

Published Online: 05 Jul 2024

Views: 630 | Downloads: 356

How to cite this article
APA 6th edition
In-text citation: (Jiang et al., 2024)
Reference: Jiang, W., Nazarudin, M. N. B., & Mazalan, N. S. (2024). Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI). Journal of Information Systems Engineering and Management, 9(3), 24782. https://doi.org/10.55267/iadt.07.14849
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Jiang W, Nazarudin MNB, Mazalan NS. Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI). J INFORM SYSTEMS ENG. 2024;9(3):24782. https://doi.org/10.55267/iadt.07.14849
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Jiang W, Nazarudin MNB, Mazalan NS. Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI). J INFORM SYSTEMS ENG. 2024;9(3), 24782. https://doi.org/10.55267/iadt.07.14849
Chicago
In-text citation: (Jiang et al., 2024)
Reference: Jiang, Weiwei, Mohamad Nizam Bin Nazarudin, and Nur Shakila Mazalan. "Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI)". Journal of Information Systems Engineering and Management 2024 9 no. 3 (2024): 24782. https://doi.org/10.55267/iadt.07.14849
Harvard
In-text citation: (Jiang et al., 2024)
Reference: Jiang, W., Nazarudin, M. N. B., and Mazalan, N. S. (2024). Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI). Journal of Information Systems Engineering and Management, 9(3), 24782. https://doi.org/10.55267/iadt.07.14849
MLA
In-text citation: (Jiang et al., 2024)
Reference: Jiang, Weiwei et al. "Enhancing Safety and Quality in College Sports Management Through Big Data and Artificial Intelligence (AI)". Journal of Information Systems Engineering and Management, vol. 9, no. 3, 2024, 24782. https://doi.org/10.55267/iadt.07.14849
ABSTRACT
The purpose of this study is to explore how artificial intelligence (AI) and big data can be used to solve the twin issues of athlete safety and sports event quality in a college sports environment. Furthermore, this study attempts to fill the literature vacuum regarding the application and effectiveness of artificial intelligence and big data in improving safety and quality in collegiate sports administration by investigating possible synergies between these elements and the implementation of developed technologies. This qualitative study used a sampling method to conduct in-depth interviews with 18 sports administrators and commentators. Using coding and classification methods, the data were evaluated thematically with a focus on artificial intelligence and big data applications. Research has found that artificial intelligence and big data play a key role in proactively reducing injuries, optimizing athlete performance and enabling data-driven decision-making. It also identifies barriers and opportunities for integrating these technologies, revealing their dynamic potential. This study provides new perspectives on the relationship between safety and quality and the application of artificial intelligence and big data in collegiate sports management. It also highlights the ways in which these technologies have transformative potential in sport. The findings have important implications for educational programs and policy development aimed at managing responsible technology integration and preparing future professionals in the field of sport management.
KEYWORDS
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