Entrepreneurial Ecosystem Research: Bibliometric Mapping of the Domain

Entrepreneurial Ecosystem Research: Bibliometric Mapping of the Domain

Hannes Velt (LUT University, Finland), Lasse Torkkeli (LUT University, Finland) and Igor Laine (LUT University, Finland)
Copyright: © 2020 |Pages: 41
DOI: 10.4018/JBE.20200701.oa1
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Abstract

The entrepreneurial ecosystem stream of research is relatively new, yet it has started to attract the attention of scholars across a range of disciplines including international business and international entrepreneurship. Review studies are needed to consolidate the research and to illustrate the status quo and present visions for research going forward. This study aims to do so by applying bibliometric process technique. The present study summarizes the key countries and institutions, source journals, scholars and publications, and key themes encompassing the domain of entrepreneurial ecosystem research up to 2019. The findings illustrate an exponential growth of research covering a wide array of disciplines and top journals, observe several influential scholars and their collaboration networks, and find that the studies remain distinctly practitioner focused. In addition, six themes within the research domain are identified. The multilevel analysis gives a comprehensive overview of the entrepreneurial ecosystem domain.
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2. Methodology

Bibliometric analysis provides an overview of the current progress in any research stream by analysing metadata derived from academic research databases (Osareh, 1996). Metadata consist of key factors, such as source titles, abstracts, keywords, authors, references and the number of times the publications have been cited. The information available in such databases can be used to develop different analyses and visualisations that offer insights into the research arena. A bibliometric study helps in understanding the current size of and advancements in any research field, via publication and citation records, as well as in identifying intellectual structures and thematic clusters, together with associated findings (Zupic & Čater, 2015).

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