Digital Technique-Enabled Container Logistics Supply Chain Sustainability Achievement

Author:

Lyu Jieyin12ORCID,Zhou Fuli23ORCID,He Yandong4

Affiliation:

1. School of Information Engineering, Chang’an University, Xi’an 710064, China

2. CIMC Intelligent Technology Co., Ltd., Shenzhen 518063, China

3. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510610, China

4. Shenzhen Research Institute of Big Data, Shenzhen 518172, China

Abstract

With the rapid development of digital technology, the smart sensor-based container equipment and intelligent logistics operations contribute to achieving the efficiency improvement and sustainability achievement of container supply chain under the IoT-based logistics 4.0 scenarios. This paper tries to study the state-of-the-art knowledge of the container logistics supply chain management motivated by digital techniques. Through data-driven analysis this review is performed to assist researchers and practitioners to better understand the container logistics management. The integrated research framework is designed by developing a bibliometric analysis study to address the research themes of the container logistics era. The related publications from the Web of Science database from 2003 to 2022 were indexed and 2897 reference samples are collected as the research data. In addition, the VosViewer is adopted to portray the network, co-occurrence, and co-word analysis by visualizing the collaborative relationships of collected samples. The results show that digital technology has been widely applied in container logistics supply chain management practices, contributing to resilience and sustainability improvement by intelligent operations. These research findings are also helpful for researchers by providing a deep penetrating insight into research opportunities and great potentials of container logistics supply chain by innovative digital technology-enabled practices.

Funder

National Key Research & Development program

Shenzhen Science Technology Program

China Postdoctoral Science Foundation

Internal Project Fund from Shenzhen Research Institute of Big Data

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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