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Risk management research in East Asia: a bibliometric analysis

Lili Zhang (Fujian Jiangxia University, Fuzhou, China)
Jie Ling (Fujian Normal University, Fuzhou, China)
Mingwei Lin (Fujian Normal University, Fuzhou, China)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 15 February 2023

Issue publication date: 12 July 2023

246

Abstract

Purpose

The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.

Design/methodology/approach

The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).

Findings

The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.

Originality/value

This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.

Keywords

Acknowledgements

This work was supported by the Fujian Provincial Natural Science Foundation of China under Grant No. 2022J01958.

Citation

Zhang, L., Ling, J. and Lin, M. (2023), "Risk management research in East Asia: a bibliometric analysis", International Journal of Intelligent Computing and Cybernetics, Vol. 16 No. 3, pp. 574-594. https://doi.org/10.1108/IJICC-10-2022-0276

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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