Journal of Information Systems Engineering and Management

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: 116 | Downloads: 37

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.

Artificial Intelligence Quality Safety Sports Management Big Data Integration Data Analytics

• Bar-Eli, M., Lidor, R., Lath, F., & Schorer, J. (2023). The feudal glove of talent-selection decisions in sport—Strengthening the link between subjective and objective assessments. Asian Journal of Sport and Exercise Psychology, 4(1), 1-6.
• Bogue, K. A., Idriss, S. F., Sturkey, D., & Derouin, A. (2021). Improving youth sports safety: Implementing an emergency action plan for sudden cardiac arrest. Journal of Pediatric Nursing, 59, 81-88.
• Braaten, J. A., Banovetz, M. T., Braaten, M. C., Kennedy, N. I., & LaPrade, R. F. (2023). Increased risk of fracture, dislocation, and hospitalization are associated with collision in contact sports. Arthroscopy, Sports Medicine, and Rehabilitation, 5(5), 100781.
• Edson, T. C., Louderback, E. R., Tom, M. A., Philander, K. S., Slabczynski, J. M., Lee, T. G., & LaPlante, D. A. (2023). A large-scale prospective study of big wins and their relationship with future involvement and risk among actual online sports bettors. Computers in Human Behavior, 142, 107657.
• Feng, S., & Tan, L. (2020). Simulation of sports and health big data system based on FPGA and Internet of Things. Microprocessors and Microsystems, 103416. https://doi.org/10.1016/j.micpro.2020.103416
• Fialho, G., Manhães, A., & Teixeira, J. P. (2019). Predicting sports results with artificial intelligence—A proposal framework for soccer games. Procedia Computer Science, 164, 131-136.
• Foye-Fuller, P. A., Derouin, A., & Buck, S. (2022). Promoting an emergency action plan for sudden cardiac arrest in youth sports during a pandemic. Journal of Pediatric Health Care, 36(2), 110-114.
• Frevel, N., Beiderbeck, D., & Schmidt, S. L. (2022). The impact of technology on sports—A prospective study. Technological Forecasting and Social Change, 182, 121838.
• Fury, M. S., Oh, L. S., & Berkson, E. M. (2022). New opportunities in assessing return to performance in the elite athlete: unifying sports medicine, data analytics, and sports science. Arthroscopy, Sports Medicine, and Rehabilitation, 4(5), e1897-e1902.
• Gong, X., & Wang, Y. (2021). Exploring dynamics of sports fan behavior using social media big data—A case study of the 2019 National Basketball Association Finals. Applied Geography, 129, 102438.
• Halappa, N. G. (2023). Integration of yoga within exercise and sports science as a preventive and management strategy for musculoskeletal injuries/disorders and mental disorders—A review of the literature. Journal of Bodywork and Movement Therapies, 34, 34-40.
• Himeur, Y., Elnour, M., Fadli, F., Meskin, N., Petri, I., Rezgui, Y., . . . Amira, A. (2023). AI-big data analytics for building automation and management systems: A survey, actual challenges and future perspectives. Artificial Intelligence Review, 56(6), 4929-5021.
• Hu, J., & Xu, Z. (2023). Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences. Journal of Information Systems Engineering and Management, 8(4), 23205. https://doi.org/10.55267/iadt.07.14037
• Keiper, M. C., Fried, G., Lupinek, J., & Nordstrom, H. (2023). Artificial intelligence in sport management education: Playing the AI game with ChatGPT. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, 100456.
• Leister, I., Kulnik, S. T., Kindermann, H., Ortmaier, R., Barthofer, J., Vasvary, I., . . . Mattiassich, G. (2019). Functional performance testing and return to sport criteria in patients after anterior cruciate ligament injury 12–18 months after index surgery: A cross-sectional observational study. Physical Therapy in Sport, 37, 1-9.
• Li, W., Karthik, C., & Rajalakshmi, M. (2022). Big data visualization for in-situ data exploration for sportsperson. Computers and Electrical Engineering, 99, 107829.
• Liu, H., Tan, K. H., & Pawar, K. (2022). Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction. Journal of Business Research, 144, 599-613.
• Lowry, R., Haarbauer-Krupa, J., Breiding, M. J., & Simon, T. R. (2021). Sports-and physical activity–related concussion and risk for youth violence. American Journal of Preventive Medicine, 60(3), 352-359.
• Mamo, Y., Su, Y., & Andrew, D. P. S. (2022). The transformative impact of big data applications in sport marketing: Current and future directions. International Journal of Sports Marketing and Sponsorship, 23(3), 594-611.
• Mataruna-Dos-Santos, L. J., Faccia, A., Helú, H. M., & Khan, M. S. (2020). Big data analyses and new technology applications in sport management, an overview. In Proceedings of the 2020 International Conference on Big Data in Management, ICBDM 2020 (pp. 17-22). New York, NY: Association for Computing Machinery.
• Miller, J., Pierce, D., Johnson, J., & Stokowski, S. (2023). Undergraduate sport management curricula in the United States: A content analysis. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, 100457.
• Nahavandi, D., Alizadehsani, R., Khosravi, A., & Acharya, U. R. (2022). Application of artificial intelligence in wearable devices: Opportunities and challenges. Computer Methods and Programs in Biomedicine, 213, 106541.
• Pandurangan, P., Rakshi, A. D., Arun Sundar, M. S., Samrat, A. V, Meenambiga, S. S., Vedanarayanan, V., . . . Moovendhan, M. (2024). Integrating cutting-edge technologies: AI, IoT, blockchain and nanotechnology for enhanced diagnosis and treatment of colorectal cancer—A review. Journal of Drug Delivery Science and Technology, 91, 105197.
• Paschos, N. K. (2021). Editorial commentary: Artificial intelligence in sports medicine diagnosis needs to improve. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 37(2), 782-783.
• Rigoni, G., Monaco, N., Martinez, G. C., Cibin, F., Spolaor, F., Guiotto, A., & Sawacha, Z. (2023). Reliability of an AI driven 3-dimensional markerless motion capture system for on the field sport applications. Gait & Posture, 106, S173-S174.
• Sun, X., & Song, Y. (2023). The Impact of Big Data and AI on Teacher Performance Reviews: A Study of Private Higher Vocational Colleges. Journal of Information Systems Engineering and Management, 8(4), 23228. https://doi.org/10.55267/iadt.07.14050
• Tan, X. (2023). Enhanced sports predictions: A comprehensive analysis of the role and performance of predictive analytics in the sports sector. Wireless Personal Communications, 132(3), 1613-1636.
• Van Iersel, T. P., Van Spanning, S. H., Verweij, L. P. E., Priester-Vink, S., Van Deurzen, D. F. P., & Van Den Bekerom, M. P. J. (2023). Why do patients with anterior shoulder instability not return to sport after surgery? A systematic review of 63 studies comprising 3545 patients. JSES International, 7(3), 376-384.
• Wang, S. (2023). Optimization health service management platform based on big data knowledge management. Optik, 273, 170412.
• Wang, X. (2020). Digital management of sports industry based on big data era. Journal of Physics: Conference Series, 1533(3), 032061.
• Weller, J. M., Mahajan, R., Fahey-Williams, K., & Webster, C. S. (2024). Teamwork matters: team situation awareness to build high-performing healthcare teams, a narrative review. British Journal of Anaesthesia, 123(4),771-778.
• Xia, Q. (2023). Fostering athletes’ mental resilience: Artistic innovation and AI in sports. Journal of Sport Psychology, 32(4), 213-224.
• Xie, X. (2022). Real-time monitoring of big data sports teaching data based on complex embedded system. Microprocessors and Microsystems, 104181. https://doi.org/10.1016/j.micpro.2021.104181
• Yin, J., & Wang, X. (2019). Study on safety mode of dragon boat sports physical fitness training based on machine learning. Safety Science, 120, 1-5.
• Zhang, D., Zhu, D., & Zhao, T. (2021). Big data monitoring of sports health based on microcomputer processing and BP neural network. Microprocessors and Microsystems, 82, 103939.

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.