Supply Chain Resilience Review: Visual Analysis Based on Knowledge Map

Yi Yang (), Xiaoyan Gu () and Xingfen Wang ()
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Yi Yang: Beijing Information Science and Technology University
Xiaoyan Gu: Beijing Information Science and Technology University
Xingfen Wang: Beijing Information Science and Technology University

A chapter in LISS 2024, 2025, pp 288-303 from Springer

Abstract: Abstract Supply chain resilience not only influences socio-economic stability and the strategic distribution of resources but also impacts national security and competitiveness. With growing academic focus on this area, there is a critical need for a comprehensive bibliometric analysis. This study draws on data from the China National Knowledge Infrastructure and the Web of Science databases. Using the bibliometric tool CiteSpace, it constructs knowledge maps reflecting the publication output, contributing authors, affiliated institutions, and key terms in the field of supply chain resilience from 2014 to 2024. Additionally, this research employs Latent Dirichlet Allocation (LDA) analysis on abstracts to visually depict the current research landscape, identify emerging hotspots, and forecast future trends in the domain.

Keywords: Supply Chain Resilience; CiteSpace; LDA Topic Modeling; Knowledge Mapping; Visualization Analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-96-9697-0_24

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DOI: 10.1007/978-981-96-9697-0_24

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