Authors :
Malak Jibraili; Khaoula Fatouh; Abderrahim Rharib
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/2nrn7nvr
DOI :
https://doi.org/10.38124/ijisrt/25jun1719
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This article examines the role of artificial intelligence (AI) in enhancing financial risk management for sporting
events. It emphasizes the notable contributions AI makes, especially in areas such as predictive modeling for ticketing
revenues, optimizing dynamic pricing strategies, and improving financial planning. Despite these advancements, challenges
persist, including issues related to data quality, user confidentiality, and the high costs of implementation. The paper gathers
insights through semi-structured interviews with international experts to explore the current and future use of AI in this
domain. The findings indicate that while AI presents numerous opportunities, concerns about the transparency of
algorithms and the need for better data management remain. Nevertheless, the paper concludes that the future holds
promising possibilities, including innovations like simulating complex economic scenarios and creating personalized
experiences for spectators. In conclusion, AI has the potential to revolutionize financial risk management in sporting events,
provided that existing challenges are addressed through strategic and transparent approaches.
Keywords :
Artificial Intelligence, Financial Risk, Sporting Events.
References :
- Brown, C., & Green, D. "Challenges in AI Implementation for Sports Management: Data Quality and Privacy Concerns." International Journal of Sports Management, (2021).
- Chang, P.C., & Singh, K.K. Risk management for mega- events. Tourism Management, 11(2), 45–52, (1990).
- Clark, T., & Harris, P. "AI and Data-Driven Decision Making in Sports Finance: Opportunities and Challenges." Journal of Sports Analytics, (2023).
- Davis, E., & Thompson, F. "Ethical Considerations in AI for Financial Decision Making in Sports." Sports Technology Journal, (2019).
- Garcia, L., & Martinez, J. "Ethical Issues in AI for Sports Management: Privacy and Bias Concerns." Sports Ethics Quarterly, (2019).
- Jibraili Malak "Risk perception of sports events: Moroccan context." International Journal of Innovative Science and Research Technology, (2024).
- Malak Jibraili, Abderrahim Rharib, Zineb Jibraili "Leveraging AI for Enhanced Operational Risk Management in Sports Events ", ITM Web Conf.Volume 69, 2024
- Johnson, M., & Smith, K. "Artificial Intelligence Applications in Sports Finance: A Review." Journal of Sports Finance, (2020).
- Smith, A., & Jones, B. "AI in Sports Economics: Predictive Modeling of Ticket Revenue." Journal of Sports Economics, (2020).
- Patel, R., & Lee, S. "Predictive Analytics in Sports: AI for Ticket Sales and Revenue Management." Sport Management Review, (2021).
- Thompson, D., & Williams, E.,"Future Directions of AI in Sports Events: Enhancing Fan Experience and Financial Viability." Journal of Sport Management, 2022.
- White, G., & Black, H., "Future Applications of AI in Sports Finance: Scenario Simulation and Fan Engagement." Journal of Financial Management in Sports, 2022.
This article examines the role of artificial intelligence (AI) in enhancing financial risk management for sporting
events. It emphasizes the notable contributions AI makes, especially in areas such as predictive modeling for ticketing
revenues, optimizing dynamic pricing strategies, and improving financial planning. Despite these advancements, challenges
persist, including issues related to data quality, user confidentiality, and the high costs of implementation. The paper gathers
insights through semi-structured interviews with international experts to explore the current and future use of AI in this
domain. The findings indicate that while AI presents numerous opportunities, concerns about the transparency of
algorithms and the need for better data management remain. Nevertheless, the paper concludes that the future holds
promising possibilities, including innovations like simulating complex economic scenarios and creating personalized
experiences for spectators. In conclusion, AI has the potential to revolutionize financial risk management in sporting events,
provided that existing challenges are addressed through strategic and transparent approaches.
Keywords :
Artificial Intelligence, Financial Risk, Sporting Events.