{"title":"创业研究中的大数据综合文献计量分析","authors":"Anran Xiao, Yong Qin, Zeshui Xu, M. Škare","doi":"10.5755/j01.ee.34.2.30643","DOIUrl":null,"url":null,"abstract":"Big data technology has been widely used in entrepreneurial research in recent years. To explore the development trend and fundamental characteristics of big data in entrepreneurship (BDIE) research, we conduct a comprehensive bibliometric analysis of BDIE based on 541 publications between 1993 and 2020 from Web of Science. On the one hand, this paper focuses on some essential characteristics of the BDIE publications, such as categories, citation, H-index, and the most cited publications. On the other hand, visual scientific maps are presented by bibliometric tools, i.e., Bibliometrix, VOS viewer, and CorTexT Manager, showing relationships between publications and knowledge structure in BDIE research. Finally, hot topics in current studies, knowledge, and limitations are discussed, guiding scholars to explore new research directions. 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引用次数: 0
摘要
近年来,大数据技术在创业研究中得到了广泛应用。为了探究创业大数据研究的发展趋势和基本特征,本文基于Web of Science 1993 - 2020年541篇论文对创业大数据进行了综合文献计量分析。一方面,重点分析了BDIE出版物的分类、被引频次、h指数、被引频次等基本特征;另一方面,通过文献计量工具(如Bibliometrix、VOS viewer和CorTexT Manager)呈现可视化科学地图,显示了BDIE研究中出版物与知识结构之间的关系。最后对当前研究的热点、知识和局限性进行了讨论,引导学者探索新的研究方向。本文为BDIE研究的应用提供了一个较为广阔的视角,有助于理解BDIE研究的演变过程,并对相关领域的学者产生启发。翻译英文,阿拉伯语,希伯来语,波兰语,保加利亚语,印度语,葡萄牙语,罗马尼亚语,中国简体,匈牙利语,俄罗斯语,中国传统,印度尼西亚语,斯洛伐克语,捷克语,斯洛文尼亚语,西班牙语,荷兰语,瑞典语,英语,韩国,爱沙尼亚,拉脱维亚,土耳其,芬兰,立陶宛,乌克兰,法语,马来西亚,乌尔都语,德国,马耳他,越南,希腊,挪威,威尔士,海地,克里奥尔波斯语翻译与复制下面的URL返回嵌入在您的网站下面的片段启用协作功能和自定义小部件:必应网站管理员portal
A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research
Big data technology has been widely used in entrepreneurial research in recent years. To explore the development trend and fundamental characteristics of big data in entrepreneurship (BDIE) research, we conduct a comprehensive bibliometric analysis of BDIE based on 541 publications between 1993 and 2020 from Web of Science. On the one hand, this paper focuses on some essential characteristics of the BDIE publications, such as categories, citation, H-index, and the most cited publications. On the other hand, visual scientific maps are presented by bibliometric tools, i.e., Bibliometrix, VOS viewer, and CorTexT Manager, showing relationships between publications and knowledge structure in BDIE research. Finally, hot topics in current studies, knowledge, and limitations are discussed, guiding scholars to explore new research directions. This paper provides a relatively broad perspective for applying BDIE research, which contributes to understanding the evolution of BDIE research and inspires scholars in related fields.
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Japanese
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