Abstract
The process of globalization and digitization has continuously increased customer requirements for logistics costs and services. Issues related to the development of logistics and supply chain has received great attention. However, considering the factors of timeliness and systemic, previous studies could no longer meet the latest needs. To fill these gaps, this article reviews the 833 articles collected from the Web of Science (WoS) database from 1989 to March 2020 and mainly analyzes annual trends, top organizations, top published countries, author keywords, and main sources and disciplines, using the concepts of system thinking and knowledge-intermediary to summarize the research results. The results show that the research on logistics and supply chain is in a period of rapid development, and presents a decentralized and diversified development trend. These data and images provide a comprehensive picture of the development of the digital business economy, aiming to help researchers, funding agencies, policymakers, and industry professionals grasp the timely situation about the discipline, thus establishing a systematic understanding.
Highlights
With the development of the Internet and the Internet of Things (IoT), the importance of logistics and supply chain has become increasingly prominent and used as a means to improve competitiveness or maintain competitiveness in this challenging global environment [1]
Gunasekaran, A et al developed and tested a Big Data and Predictive Analysis (BDPA) model to explain the impact of BDPA assimilation on the supply chain (SCP) and organizational performance (OP) [4]
(2) The overall development of the discipline shows a trend from traditional fields to diversified research
Summary
With the development of the Internet and the Internet of Things (IoT), the importance of logistics and supply chain has become increasingly prominent and used as a means to improve competitiveness or maintain competitiveness in this challenging global environment [1]. Traditional data and analysis articles usually focus on resource planning and algorithm optimization, as well as their impact and changes on logistics and supply chain applications. Gunasekaran, A et al developed and tested a Big Data and Predictive Analysis (BDPA) model to explain the impact of BDPA assimilation on the supply chain (SCP) and organizational performance (OP) [4]. In the field of the supply chain, information sharing and collaboration can enhance situational awareness and avoid information delay and distortion [5]. It’s necessary to conduct a review with the latest data
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
