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Big Data in Entrepreneurship

Big Data in Entrepreneurship

Biaoan Shan, Xiaoju Liu, Yang Gao, Xifeng Lu
Copyright: © 2022 |Volume: 34 |Issue: 8 |Pages: 19
ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781668462638|DOI: 10.4018/JOEUC.310551
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MLA

Shan, Biaoan, et al. "Big Data in Entrepreneurship." JOEUC vol.34, no.8 2022: pp.1-19. http://doi.org/10.4018/JOEUC.310551

APA

Shan, B., Liu, X., Gao, Y., & Lu, X. (2022). Big Data in Entrepreneurship. Journal of Organizational and End User Computing (JOEUC), 34(8), 1-19. http://doi.org/10.4018/JOEUC.310551

Chicago

Shan, Biaoan, et al. "Big Data in Entrepreneurship," Journal of Organizational and End User Computing (JOEUC) 34, no.8: 1-19. http://doi.org/10.4018/JOEUC.310551

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Abstract

Entrepreneurship research is paying increasing attention to big data. However, there is only a fragmented understanding on how big data influences entrepreneurial activities. To review previous research systematically and quantitatively, the authors use bibliometrics method to analyze 164 research articles on big data in entrepreneurship. They visualize the landscape of these studies, such as publication year, country, and research area. They then use VOSviewer to conduct theme clustering analysis, finding four themes, namely the COVID-19 pandemic and small medium enterprise (SME) digitization, application of big data analytics to decision making, application of big data in platform, and the effects of big data on enterprises. In addition, they construct an integrated framework that integrates the antecedents of big data adoption and influence mechanism of big data on entrepreneurial activities.