{"title":"东亚风险管理研究:文献计量分析","authors":"Lili Zhang, Jie Ling, Mingwei Lin","doi":"10.1108/ijicc-10-2022-0276","DOIUrl":null,"url":null,"abstract":"PurposeThe 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/approachThe 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).FindingsThe 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/valueThis 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.","PeriodicalId":352072,"journal":{"name":"Int. J. Intell. Comput. Cybern.","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk management research in East Asia: a bibliometric analysis\",\"authors\":\"Lili Zhang, Jie Ling, Mingwei Lin\",\"doi\":\"10.1108/ijicc-10-2022-0276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe 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/approachThe 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).FindingsThe 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/valueThis 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.\",\"PeriodicalId\":352072,\"journal\":{\"name\":\"Int. J. Intell. Comput. Cybern.\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Intell. Comput. Cybern.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ijicc-10-2022-0276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Intell. Comput. Cybern.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijicc-10-2022-0276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的运用文献计量学方法和工具,对1998 - 2021年东亚地区风险管理进行综合分析,探讨研究趋势、热点和未来研究方向。设计/方法/方法本文的数据来源是Web of Science核心合集,导出了7154篇出版物及相关信息。我们使用公认的文献计量指标来评估出版物,并通过科学制图工具(VOS Viewer和CiteSpace)对其进行可视化分析。分析结果表明,中国是最具生产力和影响力的国家/地区。东亚国家之间有很强的合作,也有与其他国家的合作。研究表明,风险管理已涉及信贷、供应链、卫生突发事件和灾害等各个领域,特别是在新冠疫情背景下。我们还发现,机器学习,特别是深度学习,由于其出色的性能,在风险管理中发挥着越来越重要的作用。本文以东亚风险管理研究为重点,探讨东亚风险管理出版物的基本信息、被引合作网络、热点和研究趋势。对感兴趣或进一步研究该领域的学者具有一定的参考价值。
Risk management research in East Asia: a bibliometric analysis
PurposeThe 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/approachThe 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).FindingsThe 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/valueThis 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.