Research on the Innovation Strategy of Regional Logistics Supply Chain System Under the Background of Digital Economy
DOI:
https://doi.org/10.54097/8qhhrk94Keywords:
Digital economy, regional logistics, Supply chain.Abstract
Based on the continuous application and development of digital information technology, the digital economy has gradually become an important growth pole of China's economic development. Digital development has also provided new opportunities for the transformation and upgrading of logistics and supply chains, and the coordinated development of the digital economy and regional logistics supply chains has achieved remarkable results. However, in the process of promoting the development of the logistics supply chain, the digital economy has problems such as the imbalance in the digitization of the logistics supply chain system, the lag in the global response speed, and the lack of trust mechanism, so it is necessary to optimize the logistics supply chain management process, strengthen the information interaction and integration between the upstream and downstream node enterprises of the logistics supply chain, and connect up and down, strengthen the elasticity and resilience of the logistics supply chain, and establish and improve the trust mechanism of the logistics supply chain system, so as to accelerate the development of the digital economy and the logistics supply chain.
Downloads
References
Tianxia W ,Hong C ,Rui D , et al. Intelligent Logistics System Design and Supply Chain Management under Edge Computing and Internet of Things [J]. Computational Intelligence and Neuroscience, 2022, 2022 1823762-1823762.
Xin Z ,Xiaomin S ,Wenan P . Big Data Logistics Service Supply Chain Innovation Model Based on Artificial Intelligence and Blockchain [J]. Mobile Information Systems, 2022, 2022.
Shin M ,Taghipour A . Supply Chains Digital Transformation: Automated Underground Logistics Systems [J]. Journal of Economics, Business and Management, 2021, 9 (2).
Yao W ,Li N . Research on Agricultural Products Logistics and Supply Chain System Based on Computer Big Data Model [J]. E3S Web of Conferences, 2021, 253 02035.
Virpi T ,Joseph R ,M. J W , et al. Managing Internal Supply Chain Integration: Integration Mechanisms and Requirements [J]. Journal of Business Logistics, 2017, 38 (4): 290-309.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







