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Research on the Pathways for Empowering Smart Logistics Transformation through New Quality Productivity

Author(s)

Meijing Song, Yurong Yun, Siyan Chen

Affiliation(s)

School of Finance and Economics, Hainan University of Science and Technology, Haikou, Hainan, China

Abstract

This paper examines the pivotal role of new-quality productive forces in the transformation of smart logistics. By integrating advanced technologies such as the Internet of Things, artificial intelligence, and big data analytics, it optimises logistics supply chain management to achieve highly efficient operations. The study first analyses the challenges facing smart logistics within the context of globalisation and diversifying market demands. It then elaborates on the specific applications of new-quality productive forces within smart logistics, encompassing technological infrastructure development, intelligent operational management, and data-driven decision support. Furthermore, this paper proposes four key stages in the transformation towards smart logistics: the technological foundation stage, the intelligent operational management stage, the data-driven decision support stage, and the organisational culture and management model transformation stage. Research indicates that through the integration of technological and managerial innovation, new-quality productive forces can significantly enhance the efficiency, flexibility and market competitiveness of smart logistics systems.

Keywords

Smart Logistics; New Quality Productivity; Transition Pathway

References

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