August 4, 2025Open Access

AI Integration in Fundamental Logistics Components: Advanced Theoretical Framework for Knowledge Process Capabilities and Dynamic Capabilities Hybridization

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Mixed-methods research shows AI enhances logistics performance in emerging markets, highlighting knowledge and dynamic capabilities.

Hybrid capability architectures improve AI adoption effectiveness compared to traditional configurations.
Knowledge combination capabilities are the strongest predictor of AI implementation success in logistics.
Environmental uncertainty strengthens the relationship between AI adoption and knowledge process capabilities.
Three transformation pathways identified: incremental integration, radical reconfiguration, and ecosystem orchestration.

Toth et al. (2025) studied this question.

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