The Data Visualization Analysis in Global Supply Chain Resilience Research During 2012–2022

ABSTRACT

Supply Chain Resilience (SCR), which is the capacity to return the supply chain to its starting condition, which is necessary when the system is compromised by hazards (externally), is one of the most critical supply chain management concerns in the worldwide post-COVID-19 era. This article aims to examine influential journals, publication types, research headings, scholars, and citation metrics in the SCR field, to assist researchers globally in better understanding the knowledge map of the subject and identifying frontiers. The findings indicate that SCR is an important and widespread issue in the post-COVID-19 era, with 2,278 articles published on the Web of Science over the study period. Tableau Public was used in data analytics during the research period. The finding of this research is that (1) the majority of publications were published in SCIE and/or SSCI. (2) The journal-published papers were easier than book, conference, and series publications. (3) Future researchers will be able to conduct more in-depth research on the Multi-topics of SCR, such as people, COVID-19, the food supply chain, and the service industry. (4) Numerous researchers have already participated in SCR-related research, establishing a solid academic community research foundation. This is a review of SCR research and research ideas to complete a future study on the resilience of China's agricultural product supply chain. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.