Risk and Crisis Management Strategies in the Logistics Sector: Theoretical Approaches and Practical Models

Стратегии управления рисками и кризисами в логистическом секторе: теоретические подходы и практические модели
Aldona Jarašūnienė, Marius Gelžinis
2025-06-12

Analytic Hierarchy Process (AHP)business continuity planninglogistics sectorpredictive analyticsrisk and crisis management
The logistics sector plays a critical role in global trade but faces significant risks due to geopolitical instability, economic downturns, and environmental disruptions. This study investigates risk and crisis management strategies within the logistics industry by integrating qualitative expert interviews with quantitative analysis using the Analytic Hierarchy Process (AHP). It identifies key risks, such as supply chain disruptions, fluctuating market conditions, and infrastructure challenges, and assesses the most effective mitigation strategies. Findings indicate that diversifying transport routes and implementing business continuity planning are the most critical strategies, while technological advancements, including artificial intelligence and predictive analytics, significantly enhance resilience. Collaboration among logistics companies, suppliers, and policymakers is essential for effective crisis management. The AHP analysis ranks crisis management strategies, providing a practical framework for logistics firms to improve risk preparedness. This study contributes to the field by offering actionable recommendations to enhance crisis response and long-term sustainability. The results underscore the necessity of adaptive and proactive risk management approaches in an increasingly volatile global logistics landscape.
1
Adaptive and proactive risk management approaches are necessary for long-term sustainability in an increasingly volatile global logistics landscape.
2
Analytic Hierarchy Process (AHP) analysis ranks crisis management strategies and provides a practical framework for improving firms' risk preparedness.
3
Collaboration among logistics companies, suppliers, and policymakers is essential for effective crisis management.
4
Diversifying transport routes and implementing business continuity planning are identified as the most critical mitigation strategies for logistics sector risks.
5
Technological advancements, including artificial intelligence and predictive analytics, significantly enhance logistics resilience against disruptions.

Risk and crisis management strategies within the logistics sector

Effectiveness and ranking of mitigation strategies (e.g., route diversification, business continuity planning, AI/predictive analytics, collaboration) for improving resilience and preparedness against supply-chain disruptions, market fluctuations, infrastructure challenges and other risks

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2025-06-12
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Aldona Jarašūnienė
Marius Gelžinis
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