How AI Supports Supply Chain Resilience and Risk Management in Global Logistics Operations

Sammanfattning

Global supply chains are becoming more exposed to disruptions caused by geopolitical instability,transport delays, supplier issues, demand fluctuations, and other external risks. As a result, thegrowing interest in artificial intelligence (AI) as a way of enhancing supply chain resilience and riskmanagement due to forecasting, monitoring, visibility, and decision-support solutions has gainedmomentum. This paper discusses AI and its role in supply chain resilience and risk management inglobal logistics operations, specifically how AI-generated insights are perceived and applied bymanagers in practice.The qualitative multi-case design is chosen on the basis of the data of 10 organizations that representvarious industries and six countries. The semi-structured telephone interviews and writtenquestionnaire responses obtained empirical material, which was analyzed with the help of thematicanalysis. The concept of AI in sensing, seizing, and reconfiguring capabilities can be explained usingthe theoretical framework of Dynamic Capabilities Theory.The results indicate that AI is still predominantly applied in an assistive and not autonomous manner.The best contribution it makes is enhancing visibility, speeding up analysis, and aiding in the priordetection of risks. However, AI alone does not generate proactive resilience. Its value depends onorganizational conditions such as data quality, system integration, trust in the management, cleardecision rights, supplier relations, and cross-functional coordination. The study provides empiricallybased insights into how AI is used in real-world logistics operations and reveals that resilience isdriven by the interaction between technology, organization, and human judgment.