Risk Management Strategies for Logistics Operations in Mega-Events: Enhancing Supply Chain Resilience for the 2034 FIFA World Cup in Saudi Arabia

This study investigates the role of risk management strategies in strengthening logistics operations for the 2034 FIFA World Cup in Saudi Arabia. It explores how supply chains can anticipate, mitigate, and respond to dis-ruptions through the integration of modern technologies such as artificial intelligence, smart tracking systems, cross-docking practices, and strategic safety stock planning. By adopting a conceptual and analytical approach, the study highlights the importance of identifying operational vulnerabilities, enhancing real-time deci-sion-making, and developing resilient logistics structures capable of supporting large-scale events. It further emphasizes how technology-driven preparedness aligns with national objectives and contributes to a stable and adaptable logistics ecosystem.

Risk Management; Supply Chain Resilience; Logistics Operations; Mega-Events; FIFA World Cup 2034; Artificial Intelligence; Smart Tracking Systems; Cross-Docking; Safety Stock; Saudi Arabia; Vision 2030.

1. Alotaibi, F. J. (2022). Cost-benefit analysis of the Saudi Land Bridge Project (No. AFITENSMS22S054). [Google Scholar] [Crossref]

2. Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: State of the art and future research directions. International Journal of Production Research, 57(7), 2179–2202. https://doi.org/10.1080/00207543.2018.1530476 [Google Scholar] [Crossref]

3. Chan, H. K., Cheng, Y., Shi, Y., & Sheng, J. (2025). Guest editorial: Platform-enabled supply chain and logistics excellence: Research challenges and opportunities. International Journal of Physical Distribution & Logistics Management, 55(6), 569–581. [Google Scholar] [Crossref]

4. Kiani Mavi, R., Goh, M., Kiani Mavi, N., Jie, F., Brown, K., Biermann, S., & Khanfar, A. A. (2020). Cross-docking: A systematic literature review. Sustainability, 12(11), 4789. [Google Scholar] [Crossref]

5. Mohsen, B. M. (2023). Developments of digital technologies related to supply chain management. Procedia Computer Science, 220, 788–795. [Google Scholar] [Crossref]

6. Nicoletti, B. (2025). AI transformation of logistics. In Artificial intelligence for logistics 5.0: From foundation models to agentic AI (pp. 107–131). Cham: Springer Nature Switzerland. [Google Scholar] [Crossref]

7. Offiong, U. P., Szopik‐Depczyńska, K., & Ioppolo, G. (2025). FinTech innovations for sustainable development: A comprehensive literature review and future directions. Sustainable Development. [Google Scholar] [Crossref]

8. Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions. Expert Systems with Applications, 173, 114702. https://doi.org/10.1016/j.eswa.2021.114702 [Google Scholar] [Crossref]

9. Saudi Vision 2030. (2025). Overview. https://www.vision2030.gov.sa/ [Google Scholar] [Crossref]

10. Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502–517. [Google Scholar] [Crossref]

11. Treiblmaier, H., & Rejeb, A. (2023). Exploring blockchain for disaster prevention and relief: A comprehensive framework based on industry case studies. Journal of Business Logistics, 44(4), 550–582. https://doi.org/10.1111/jbl.12345 [Google Scholar] [Crossref]

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