Mapping The Landscape of Supply Chain Risk Management: A VOSviewer-Based Bibliometric Study

DOI

10.2991/978-94-6239-721-7_9How to use a DOI?

Keywords

Supply Chain Risk Management; Bibliometrics; Research Evolution; Collaboration Network

Abstract

Since the concept of supply chain risk has received widespread attention, supply chain risk management has become a key topic of academic discussion. This study focuses on the literature analysis of supply chain risk management. VOSviewer software was used to conduct a bibliometric analysis of the literature in this field, including keyword co-occurrence analysis, country collaboration network analysis, author co-occurrence network analysis, and document co-citation analysis. The analysis results show that research in the field of supply chain risk management was initially dominated by American scholars. Around 2018, scholars from China, India, and Canada began to significantly increase their research investment in this field. Since 2021, China has become the major contributing country in terms of publication volume in this field. The analysis of the thematic evolution of supply chain risk management reveals that early research focused more on themes such as supply chain vulnerability, risk identification, and assessment; subsequently, it gradually expanded to areas such as supply chain resilience, disruption management, and sustainable supply chains. In recent years, digital risks, artificial intelligence applications, blockchain technology, climate-related risks, and risk management in the context of the circular economy have become emerging research themes.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lixiang Zhou
AU  - Ying Qu
PY  - 2026
DA  - 2026/07/06
TI  - Mapping The Landscape of Supply Chain Risk Management: A VOSviewer-Based Bibliometric Study
BT  - Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
PB  - Atlantis Press
SP  - 83
EP  - 92
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-721-7_9
DO  - 10.2991/978-94-6239-721-7_9
ID  - Zhou2026
ER  -