利用文献计量学研究分析区块链和COVID-19研究格局

José Manuel Guaita Martínez , Patricia Carracedo , Dolores Gorgues Comas , Carlos H. Siemens
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引用次数: 47

摘要

在新冠肺炎时代,科学界开始担心区块链技术作为激励工具的影响。自大流行开始以来,在这一领域发表的科学论文数量一直在增加,因此非常需要进行文献计量学研究,以确定研究工作。因此,这项工作的目的是对商业管理领域的区块链和COVID-19技术进行文献综述,以确定最近的研究方向。为此,我们对Web of Science数据库中由37篇文章组成的语料库使用了文本挖掘技术。得到的结果清楚地显示出3个不同的簇。第一个代表了组织和利益相关者的区块链技术框架,其中人工智能的研究方法非常重要。第二,需要考虑新冠肺炎造成的业务可持续性。三是疫情对供应链行业的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of the blockchain and COVID-19 research landscape using a bibliometric study

The scientific community has become concerned about the impact of blockchain technology as a motivational tool in the COVID-19 era. Since the beginning of the pandemic, the number of scientific articles published in this field has been increasing, making it highly desirable to carry out a bibliometric study to identify research efforts.

Therefore, the aim of this work was to conduct a literature review of blockchain and COVID-19 technology in the field of Business Management to identify recent lines of research. To do so, we used a text mining technique on a corpus composed of 37 articles in the Web of Science database.

The results obtained clearly show 3 distinct clusters. The first represents the blockchain technology framework in organizations and stakeholders in which the research methodology in artificial intelligence is very important. The second shows the need to take into account business sustainability caused by COVID-19. The third indicates the impact of the pandemic on the supply chain industry.

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