A Comprehensive Bibliometric Analysis of Big Data in Entrepreneurship Research

被引：3
|
作者：
Xiao, Anran [1 ]
Qin, Yong [1 ]
Xu, Zeshui [1 ]
Skare, Marinko [2 ,3 ]
机构：
[1] Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
[2] Juraj Dobrila Univ Pula, Fac Econ & Tourism Dr Mijo Mirkov, Preradoviceva 1-1, Pula 52100, Croatia
[3] Univ Econ & Human Sci, Warsaw, Poland
来源：
INZINERINE EKONOMIKA-ENGINEERING ECONOMICS | 2023年 / 34卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Big Data in Entrepreneurship; Bibliometric Analysis; CorTexT Manager; Science Mapping; DATA ANALYTICS; IMPACT; INNOVATION; SOCIETY; MODEL;
D O I：
10.5755/j01.ee.34.2.30643
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：175 / 192
页数：18
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