Enhancing logistics organizational resilience via digital competencies: A dynamic capability perspective

This study examines the impact of digital competencies—artificial intelligence, big data, and information collaboration—on innovation capability, subsequently improving strategic adaptability and organizational resilience. It proposes and empirically tests a theoretical model using survey data from 450 logistics professionals in China's logistics sector. Structural equation modeling demonstrates that all three digital competencies significantly contribute to innovation capability, serving as a critical link between digital resources and both strategic and operational outcomes. Additionally, innovation capability directly impacts strategic adaptability and resilience, with strategic adaptability also serving as a strong predictor of resilience. The findings highlight the importance of integrating digital resources as cohesive capabilities rather than treating them as separate tools, enabling innovation and maintaining competitive advantage in volatile environments. By conceptualizing innovation capability as a functional dynamic capability, this study offers an integrative framework that explains how logistics organizations can systematically transform digital resources into adaptive and resilient capabilities, thereby strengthening competitiveness in volatile and disruption-prone environments.