{"title":"Visual Analysis Based on Research on Mergers and Acquisitions Performance","authors":"Jianwen Yan, X. Cai, Yu Fan","doi":"10.1109/ICEMME51517.2020.00035","DOIUrl":null,"url":null,"abstract":"Mergers and acquisitions(M& A) is one of the strategic behaviors of corporate growth and evolution, and M& A performance is an important index to evaluate whether the function of corporate M& A is achieved and the effect of M& A. As the M& A market becomes more and more active, scholars are doing more research on related aspects, but few studies use bibliometrics and visualization methods to conduct in-depth exploration and show the full picture of the field. This article uses bibliometric research methods to analyze the data samples of 5065 articles in the core collection of Web of Science from 2000 to 2019, and the document type is Article, and the time distribution, spatial distribution, knowledge evolution, and literature of the domain knowledge Co-cited and research hotspots were analyzed in depth and visualized. It reveals the development status of related research on mergers and acquisitions and performance, analyzes and discusses research hotspots and future development trends in this field, and provides important knowledge support for researchers in this field to carry out related research.","PeriodicalId":447872,"journal":{"name":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Economic Management and Model Engineering (ICEMME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMME51517.2020.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mergers and acquisitions(M& A) is one of the strategic behaviors of corporate growth and evolution, and M& A performance is an important index to evaluate whether the function of corporate M& A is achieved and the effect of M& A. As the M& A market becomes more and more active, scholars are doing more research on related aspects, but few studies use bibliometrics and visualization methods to conduct in-depth exploration and show the full picture of the field. This article uses bibliometric research methods to analyze the data samples of 5065 articles in the core collection of Web of Science from 2000 to 2019, and the document type is Article, and the time distribution, spatial distribution, knowledge evolution, and literature of the domain knowledge Co-cited and research hotspots were analyzed in depth and visualized. It reveals the development status of related research on mergers and acquisitions and performance, analyzes and discusses research hotspots and future development trends in this field, and provides important knowledge support for researchers in this field to carry out related research.
并购是企业成长与演化的战略行为之一,并购绩效是评价企业并购功能是否实现、并购效果是否达到的重要指标。随着并购市场的日益活跃,学者们对相关方面的研究也越来越多,但很少有研究采用文献计量学和可视化方法进行深入探索,展现该领域的全全性。本文采用文献计量学研究方法,对Web of Science核心馆藏2000 - 2019年5065篇文献(文献类型为article)的数据样本进行分析,对共被引领域知识的时间分布、空间分布、知识演变、文献以及研究热点进行深入分析和可视化。揭示了并购与绩效相关研究的发展现状,分析探讨了该领域的研究热点和未来发展趋势,为该领域的研究人员开展相关研究提供了重要的知识支持。