Digital Transformation, Multi-Dimensional Resource Optimization, and Sustainable Development in SME Logistics Enterprises

Abstract

Driven by pervasive digitalization, small and medium-sized logistics enterprises face critical challenges in reconciling traditional operations with volatile market demands. This study explores the intricate mechanisms linking digital transformation, multi-dimensional resource optimization, and corporate sustainability. Recognizing the initial data inconsistencies and operational resistance typical in SME transitions, we construct a nuanced framework addressing spatial, transport, and human capital reconfigurations. Empirical investigations, conducted across selected regional logistics hubs, indicate that algorithmic route planning and cloud-shared warehousing models significantly alleviate resource misallocation, to some extent enhancing economic and environmental sustainability. However, the observed outcomes present multi-layered interpretations; efficiency gains might partially stem from macroeconomic fluctuations rather than purely digital intervention, suggesting potential contextual biases. Considering these compounding factors, the linear path toward sustainable development remains complex, and the long-term efficacy of digital ecosystems warrants cautious optimism. Ultimately, this research offers a critical point of departure for understanding how resource fluidity mitigates structural bottlenecks, though further research is needed to validate these dynamics across diverse regulatory environments.