Autonomous driving paper index
Conceptualizing logistics 5.0: a socio-technical paradigm for human-centric, sustainable and resilient supply chains
One-line summary
Purpose Logistics 5.0 represents a shift from Logistics 4.0 by moving beyond a focus on efficiency and technology to also consider socioenvironmental impacts.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Purpose Logistics 5.0 represents a shift from Logistics 4.0 by moving beyond a focus on efficiency and technology to also consider socioenvironmental impacts. This article reviews the current research on Logistics 5.0, examining its key dimensions to provide a clearer conceptual understanding and propose a structured agenda for future studies. Design/methodology/approach A comprehensive systematic literature review was conducted, resulting in a final sample of 42 peer-reviewed articles retrieved from the Scopus and Web of Science databases. The selected studies were analyzed using content analysis to identify, categorize and synthesize key themes, findings and research gaps. Findings It was identified that Logistics 5.0 is characterized by three interconnected dimensions: resilience, sustainability and human-centricity. Unlike Logistics 4.0, which focuses primarily on technology, Logistics 5.0 places greater emphasis on people and broader societal goals. It emphasizes worker well-being and human-machine collaboration, the use of digital technologies to support sustainability goals and the application of real-time data and simulations to improve supply chain resilience and adaptability. Originality/value This study advances the emerging field of Logistics 5.0 by clarifying its conceptual boundaries in relation to Logistics 4.0 and proposing an integrated socio-technical framework grounded in resilience, sustainability and human-centricity. It further contributes by introducing a five-level Logistics 5.0 Maturity Model to support the operationalization and assessment of Logistics 5.0 in organizational contexts. In addition, the study identifies theoretical and managerial gaps, which inform a structured multidisciplinary research agenda. The findings provide theoretical guidance for future research, practical support for organizations seeking to implement Logistics 5.0 and policy implications related to digital infrastructure and workforce reskilling.
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