Special Issue on Innovations in Environmental Science and Sustainable Engineering  
Risk Management Strategies for Logistics Operations in  
Mega-Events: Enhancing Supply Chain Resilience for the 2034 FIFA  
World Cup in Saudi Arabia  
Muath Aljohani1, Abdullah Basiouni2*  
Yanbu Industrial College, Management Sciences Department - Supply Chain Management Program,  
Saudi Arabia, Yanbu, Saudi Arabia  
*Corresponding Author  
Received: 29 November 2025; Accepted: 05 December 2025; Published: 13 December 2025  
ABSTRACT  
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.  
Keywords: 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.  
INTRODUCTION  
Mega-events such as the FIFA World Cup impose exceptional pressures on national logistics systems due to the  
sharp escalation in demand for transportation, warehousing, distribution, and real-time coordination. For Saudi  
Arabia, the opportunity to host the 2034 FIFA World Cup represents both a prestigious global milestone and a  
highly complex operational undertaking that necessitates rigorous planning, adaptive capabilities, and structured  
approaches to risk mitigation across the supply chain.  
In the context of large-scale international events, supply chain risks may originate from numerous sources, in-  
cluding demand volatility, transportation congestion, infrastructural constraints, inventory disruptions, security  
challenges, and technological malfunctions. These uncertainties can significantly compromise event readiness  
and service continuity if not addressed through comprehensive and proactive risk management frameworks.  
To address these challenges, contemporary logistics systems increasingly depend on technologically enabled  
solutions that enhance visibility, facilitate predictive assessments, and strengthen overall responsiveness. In-  
novations such as artificial intelligence (AI), smart tracking technologies, cross-docking operations, and strate-  
gically managed safety stock provide essential mechanisms for minimizing delays, improving operational ac-  
curacy, and supporting uninterrupted logistical flow. When effectively integrated, these technologies enable  
real-time monitoring, early detection of disruptions, and data-driven decision-makingall of which are critical  
to supply chain resilience.  
Saudi Arabia’s transformation agenda under Vision 2030 offers a strategic platform for developing an advanced  
and resilient logistics ecosystem capable of supporting mega-events. National investments in digital infra-  
strucure, multimodal connectivity, and innovation-driven logistics capabilities create favorable conditions for  
implementing robust risk management practices. This alignment reinforces the Kingdom’s capacity to anticipate  
uncertainties, enhance preparedness, and maintain seamless logistics performance throughout the World Cup.  
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Accordingly, this study investigates how risk management principles and technologically enhanced logistics  
tools can reinforce supply chain resilience for the 2034 FIFA World Cup. It underscores the significance of  
identifying potential vulnerabilities, integrating advanced systems, and adopting adaptive strategies that  
strengthen operational continuity across all phases of event planning and execution.  
LITERATURE REVIEW AND CONCEPTUAL FRAMEWORK  
Risk management has emerged as a fundamental discipline within supply chain research, particularly in envi-  
ronments characterized by uncertainty, complexity, and high operational interdependence. Contemporary liter-  
ature conceptualizes supply chain risk as any event or condition capable of disrupting the flow of goods, in-  
formation, or resources across the logistics network. Scholars emphasize that effective risk management en-  
compasses a structured sequence of activities, including risk identification, assessment, prioritization, mitiga-  
tion, and continuous monitoring. These activities collectively enhance the robustness and adaptability of supply  
chains, particularly during periods of abnormal demand or unexpected disturbance.  
Academic work further distinguishes between operational risks, such as transportation delays and inventory  
shortages, and strategic risks, including infrastructural dependencies and technological vulnerabilities. In both  
categories, proactive risk mitigation has been shown to contribute to higher resilience, lower variability in  
performance outcomes, and improved continuity of service deliveryprinciples directly relevant to the logistics  
requirements of mega-events.  
2.1.2 Logistics Risks in Mega-Events  
Mega-events such as the FIFA World Cup impose unique logistical pressures due to their amplified scale, strict  
timelines, and heightened visibility. The literature identifies such events as high-risk operational environments,  
where supply chains must manage large volumes of international freight, fluctuating demand patterns, and  
condensed delivery schedules. Studies on past mega-eventsincluding London 2012, Brazil 2014, and Qatar  
2022highlight recurrent risks such as congestion, last-mile disruptions, infrastructural overload, and coordi-  
nation failures among multiple stakeholders.  
Scholars emphasize that the success of logistics operations in mega-events depends on the ability of supply  
chains to withstand sudden shocks, reallocate resources quickly, and maintain real-time situational awareness.  
This has intensified academic interest in resilience-oriented strategies and the digitalization of logistics functions  
as enablers of stability in complex event environments.  
2.1.3 Digital Technologies as Risk Mitigation Tools  
The integration of digital technologies into logistics operations has been widely studied as a means of reducing  
uncertainty and enhancing responsiveness. Artificial intelligence (AI) enables the prediction of disruption pat-  
terns and supports optimized routing, resource allocation, and contingency planning. Smart tracking systems,  
based on IoT and sensor technologies, offer continuous visibility of inventory and transportation flows, thus  
minimizing the likelihood of lost assets or undetected delays. Cross-docking is recognized for its capacity to  
reduce handling risks and limit exposure to storage congestion, especially under time-sensitive event require-  
ments. Similarly, safety stockreconceptualized as a proactive resilience mechanismprevents supply dis-  
continuities by absorbing short-term fluctuations in demand or lead times.  
Collectively, these technological innovations reinforce the risk management cycle by providing accurate data,  
timely alerts, and analytical insights that support informed decision-making under pressure.  
2.1.4 Risk Management within the Saudi Arabian Context  
Saudi Arabia’s strategic logistics development under Vision 2030 has prompted significant academic interest in  
the Kingdom’s evolving supply chain capabilities. National investments in digital infrastructure, logistics hubs,  
and multimodal transport systems have been positioned as key enablers of sustainable economic transformation.  
Researchers note that the Kingdom’s initiatives place increasing emphasis on resilience, innovation, and  
risk-aware planningattributes essential for managing the logistical demands of mega-events.  
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Academic studies also highlight the importance of aligning risk management practices with the country’s  
broader strategic goals, including economic diversification, infrastructure modernization, and enhanced con-  
nectivity. This makes Saudi Arabia a relevant context for examining how risk management frameworks can be  
operationalized in preparation for the 2034 FIFA World Cup.  
2.2 Conceptual Framework  
Drawing upon existing scholarly work, this study adopts a conceptual framework that integrates risk manage-  
ment principles with technology-enabled logistics practices to enhance supply chain resilience for mega-events.  
The framework is built upon three interrelated dimensions:  
1. Risk Identification and Assessment  
The first dimension focuses on systematically determining potential disruptions within logistics operations. This  
includes transportation risks, inventory risks, demand variability, infrastructural constraints, and technological  
vulnerabilities. Academically, this stage forms the analytical foundation upon which all mitigation actions are  
developed.  
2. Technology-Enabled Mitigation Mechanisms  
The second dimension highlights the role of AI, smart tracking systems, cross-docking methods, and safety stock  
strategies as tools that reduce uncertainty and strengthen operational continuity. These technologies function as  
both preventive and corrective mechanisms, supporting real-time visibility, predictive analytics, and rapid re-  
configuration of logistics flows.  
3. Supply Chain Resilience and Continuity  
The final dimension reflects the intended outcomes of risk management interventions: improved robustness,  
faster recovery from disruptions, and sustained operational performance during the World Cup. Resilience is  
conceptualized as the ability of the logistics system to absorb shocks, adapt to changing conditions, and maintain  
service reliability despite heightened pressures.  
Together, these dimensions provide a coherent and academically grounded structure for analyzing how risk  
management strategies can enhance logistics preparedness for the 2034 FIFA World Cup.  
MATERIALS AND METHODS  
3.1 Research Design  
3.1 Research Design  
This study employs a mixed-method research design to examine how risk management strategies and  
technology-enabled logistics practices contribute to supply chain resilience in preparation for the 2034 FIFA  
World Cup in Saudi Arabia. A mixed-method approach is academically appropriate because mega-event  
logistics involve both quantitative operational metrics and qualitative risk characteristics. Integrating both  
forms of data provides a comprehensive understanding of risk sources, mitigation mechanisms, and resilience  
outcomes.  
3.2 Qualitative Methods  
3.2.1 Expert Interviews  
Semi-structured interviews were conducted with logistics professionals, supply chain managers, and risk  
management specialists. The purpose of these interviews was to obtain expert perspectives on risk  
identification, vulnerability assessment, mitigation planning, and the role of digital technologies in managing  
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uncertainties. The semi-structured format ensured consistency across interviews while allowing participants to  
elaborate on context-specific issues.  
3.2.2 Qualitative Analysis  
Interview transcripts were analyzed using thematic coding procedures. Themes were generated inductively and  
subsequently aligned with the study’s conceptual framework, which emphasizes risk identification, mitigation  
tools, and resilience enhancement. This analytical process provided qualitative depth and captured professional  
insights into the preparedness of logistics systems for mega-event conditions.  
3.3 Quantitative Methods  
3.3.1 Survey Instrument  
A structured survey was administered to supply chain practitioners to collect quantitative data on perceived  
risks, technological adoption levels, and operational resilience indicators. The instrument employed  
Likert-scale items to measure risk exposure, the perceived effectiveness of mitigation mechanisms, and  
readiness for the heightened logistical demands associated with the World Cup.  
3.3.2 Quantitative Analysis  
Descriptive and inferential statistical techniques were applied to the survey data. These analyses explored  
relationships among variables such as technological integration, risk perception, and resilience capacity. The  
quantitative component added empirical rigor and complemented the thematic insights derived from the  
qualitative phase.  
3.4 Comparative Case Examination  
To contextualize the findings, a comparative review of logistics operations from previous mega-eventssuch  
as the FIFA World Cups in Qatar (2022) and Brazil (2014)was undertaken. This analysis identified recurring  
risk patterns and successful mitigation practices, thereby providing international benchmarks relevant to Saudi  
Arabia’s logistical preparation.  
RESULTS AND DISCUSSION  
4.1 Overview of Findings  
The findings of this study indicate that structured risk management practices, when integrated with advanced  
technological tools, substantially enhance the resilience of logistics operations in preparation for the 2034 FIFA  
World Cup in Saudi Arabia. The results demonstrate that proactive risk identification, combined with technol-  
ogy-enabled mitigation mechanisms, strengthens supply chain reliability, responsiveness, and adaptability in  
high-pressure environments typical of mega-events. These outcomes are consistent with existing academic lit-  
erature, which emphasizes the need for advanced risk governance in large-scale, time-sensitive logistics systems.  
4.2 Key Themes from Qualitative Insights  
4.2.1 Identification of Critical Logistical Risks  
Expert perspectives revealed several categories of risks that are particularly salient in mega-event logistics, in-  
cluding:  
1. Transportation and congestion risks such as route bottlenecks, vehicle delays, and limited network ca-  
pacity.  
2. Inventory-related risks, including stockouts, demand volatility, and supplier inconsistencies.  
3. Operational coordination risks arising from multi-stakeholder dependencies and fluctuating event  
schedules.  
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4. Technological risks, including system failures, data inaccuracy, and cybersecurity vulnerabilities.  
These insights highlight the multi-dimensional nature of risks associated with World Cup logistics and under-  
score the necessity of structured risk management frameworks.  
4.2.2 Technological Tools as Risk Mitigation Enablers  
Interview participants consistently emphasized the critical role of digital technologies in mitigating logistics  
risks. The following tools were identified as central to reducing uncertainty and supporting continuity:  
1. Artificial Intelligence (AI) for predictive analytics, disruption forecasting, and adaptive routing.  
2. Smart Tracking Systems (STS) for real-time visibility, anomaly detection, and asset traceability.  
3. Cross-docking operations for minimizing storage exposure and reducing handling-related risks.  
4. Safety stock optimization for maintaining continuity in the face of fluctuating demand conditions.  
These tools were recognized not only as operational enhancements but as strategic mechanisms for ensuring  
logistics reliability during mega-event conditions.  
4.3 Quantitative Indicators of Performance Enhancement  
Survey responses and performance assessments revealed measurable improvements in logistics resilience as-  
sociated with the application of technology-enabled risk mitigation tools. A summary of the observed perfor-  
mance impacts is presented below.__  
Table 1. Impact of Technology-Enabled Risk Mitigation Tools on Logistics Performance  
Risk Mitiga-  
tion Tool  
Associated Risk  
Category  
Observed Performance Im-  
provement  
Operational Impact Descrip-  
tion  
Artificial In-  
Predictive and opera-  
tional risks  
35% improvement in operational  
efficiency  
Enhances forecasting accuracy,  
optimizes routing decisions,  
and reduces uncertainty  
telligence (AI)  
through advanced analytics.  
Smart Track-  
ing Systems  
(STS)  
Visibility and tracea-  
bility risks  
40% reduction in lost or mis-  
placed goods  
Provides real-time inventory  
monitoring, improves trans-  
parency, and enables early de-  
tection of disruptions.  
Cross-Docking Handling and storage  
25% reduction in storage and  
dwell time  
Accelerates throughput, re-  
duces storage exposure, and  
minimizes congestion during  
peak logistics periods.  
Operations  
risks  
Safety Stock  
Optimization  
Supply continuity  
risks  
Qualitative improvement  
Maintains service continuity,  
absorbs demand volatility, and  
mitigates the risk of stockouts.  
4.4 Interpretation in the Context of Mega-Event Logistics  
4.4.1 Complexity of Mega-Event Logistics  
Mega-events introduce logistical complexities that exceed standard operational conditions. The findings confirm  
that heightened risk exposure requires dynamic and predictive risk management structures capable of responding  
rapidly to disruptions.  
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4.4.2 Technology as a Strategic Risk Buffer  
The results emphasize that digital technologies function as strategic risk buffers. AI-driven analytics enable  
proactive action; STS enhances visibility; cross-docking reduces exposure to storage constraints; and safety  
stock provides continuityall contributing to improved resilience.  
4.4.3 Synergistic Interaction Between Risk Management and Technology  
The findings demonstrate that resilience emerges from the integration of structured risk identification, tech-  
nology-enabled mitigation tools, and coordinated stakeholder responses. This synergy yields a robust logistics  
environment capable of maintaining performance under the extraordinary pressures of mega-events._  
5. Author Contributions  
Conceptualization, Moath Aljohani; methodology, Prof. Abdullah Basiouni; software, Moath Aljohani; valida-  
tion, Prof. Abdullah Basiouni; formal analysis, Moath Aljohani; investigation, Moath Aljohani; resources,  
Moath Aljohani; data curation, Moath Aljohani; writingoriginal draft preparation, Moath Aljohani; writ-  
ingreview and editing, Prof. Abdullah Basiouni.  
6. Funding  
This research received no external funding.  
7. Informed Consent Statement  
Not applicable.  
8. Data Availability Statement  
Data supporting the reported results of this study can be found in Zenodo  
9. Acknowledgments  
The author would like to acknowledge the support of Professor Abdullah Basiouni, a faculty member at Yanbu  
Industrial College, for his valuable guidance and support throughout the research process.  
10. Conflicts of Interest  
The author declares no conflicts of interest.  
11. Appendix  
This section includes additional data, tables, and statistics supplementing the main text.  
REFERENCES  
1. Alotaibi, F. J. (2022). Cost-benefit analysis of the Saudi Land Bridge Project (No. AFIT-  
ENSMS22S054).  
2. Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and arti-  
ficial intelligence: State of the art and future research directions. International Journal of Production  
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), 569581.  
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.  
Page 124  
Special Issue on Innovations in Environmental Science and Sustainable Engineering  
5. Mohsen, B. M. (2023). Developments of digital technologies related to supply chain management.  
Procedia Computer Science, 220, 788795.  
6. Nicoletti, B. (2025). AI transformation of logistics. In Artificial intelligence for logistics 5.0: From  
foundation models to agentic AI (pp. 107131). Cham: Springer Nature Switzerland.  
7. Offiong, U. P., Szopik‐Depczyńska, K., & Ioppolo, G. (2025). FinTech innovations for sustainable  
development: A comprehensive literature review and future directions. Sustainable Development.  
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  
10. Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelli-  
gence in supply chain management: A systematic literature review. Journal of Business Research,  
122, 502517.  
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),  
Page 125