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. 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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