全球数字经济研究趋势的文献计量分析

S. Deaconu, Sorin-Ciprian Teiuşan
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引用次数: 1

摘要

20年前,数字经济概念被提出,成为政府、商人、政治家和研究人员感兴趣的话题。本文旨在重点介绍数字经济的研究现状和发展趋势。关于数字经济的全球文献计量分析,目前尚无证据。因此,我们对数字经济文献进行了文献计量分析,以确定感兴趣的领域和未来研究的潜力。通过这项研究,我们旨在回答以下问题:关于数字经济的科学论文在期刊上发表了多少篇?在数字经济领域,哪些期刊、国家和作者的研究成果最高?数字经济领域被引用最多的论文有哪些?数字经济相关文献中出现频率最高的关键词是什么?研究数据提取自Web of Science数据库、《Science Citation Index Expanded》、《Social Sciences Citation Index》和《Emerging Sources Citation Index》,使用统计R软件中的打包书目(package biblioshiny for bibliometrix)对收集到的信息进行处理。使用上述计算机工具获得的结果回答了研究问题。关于数字经济的研究、生产和发表的文献越来越多。由于Web of Science数据库中尚未发现有关数字经济的文献计量分析,本文旨在弥补这一空白
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A BIBLIOMETRIC ANALYSIS FOR GLOBAL RESEARCH TRENDS ON DIGITAL ECONOMY
Introduced two decades ago, the digital economy concept became a subject of interest for governments and businessmen, politicians and researchers. This paper aims at highlighting the current state of research and trends on digital economy. There is no previous evidence of a global bibliometric analysis on digital economy. Therefore, we conducted a bibliometric analysis on digital economy literature, to identify area of interest and potential for future research. Through this research we aimed to answer the following questions: How many scientific papers on digital economy have been published in journals? What are the most productive journals, countries and authors on the subject of digital economy? What are the most cited papers on digital economy? What are the most frequent keywords in published documents on digital economy? The data used for the research were extracted from the Web of Science database, collections Science Citation Index Expanded, Social Sciences Citation Index, and Emerging Sources Citation Index, and the processing of collected information was done using package biblioshiny for bibliometrix from statistical R software. The results, obtained with the mentioned computer tools, answer the research questions. Research production and publication of documents on digital economy are increasing. As no bibliometric analysis on digital economy has been identified in the Web of Science database, this paper is intended to cover this gap
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