Transforming Financial Risk Management in Sports Events through Artificial Intelligence


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

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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 :

  1. Brown, C., & Green, D. "Challenges in AI Implementation for Sports Management: Data Quality and Privacy Concerns." International Journal of Sports Management, (2021).
  2. Chang, P.C., & Singh, K.K. Risk management for mega- events. Tourism Management, 11(2), 45–52, (1990).
  3. Clark, T., & Harris, P. "AI and Data-Driven Decision Making in Sports Finance: Opportunities and Challenges." Journal of Sports Analytics, (2023).
  4. Davis, E., & Thompson, F. "Ethical Considerations in AI for Financial Decision Making in Sports." Sports Technology Journal, (2019).
  5. Garcia, L., & Martinez, J. "Ethical Issues in AI for Sports Management: Privacy and Bias Concerns." Sports Ethics Quarterly, (2019).
  6. Jibraili Malak "Risk perception of sports events: Moroccan context." International Journal of Innovative Science and Research Technology, (2024).
  1. Malak Jibraili, Abderrahim Rharib, Zineb Jibraili "Leveraging AI for Enhanced Operational Risk Management in Sports Events ", ITM Web Conf.Volume 69, 2024
  2. Johnson, M., & Smith, K. "Artificial Intelligence Applications in Sports Finance: A Review." Journal of Sports Finance, (2020).
  3. Smith, A., & Jones, B. "AI in Sports Economics: Predictive Modeling of Ticket Revenue." Journal of Sports Economics, (2020).
  4. Patel, R., & Lee, S. "Predictive Analytics in Sports: AI for Ticket Sales and Revenue Management." Sport Management Review, (2021).
  5. Thompson, D., & Williams, E.,"Future Directions of AI in Sports Events: Enhancing Fan Experience and Financial Viability." Journal of Sport Management, 2022.
  6.  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.

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Paper Submission Last Date
30 - November - 2025

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