The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Artificial intelligence and big data in entrepreneurship: a new era has begun
Open accessAbstract
While the disruptive potential of artificial intelligence (AI) and big data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and big data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other big data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the co-evolving fields of entrepreneurship research and practice. How can AI and big data contribute to a productive transformation of the research field and the real-world phenomena (e.g., “smart entrepreneurship”)? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios.
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Cites
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Research works printed but not linked: 8
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- Davidsson, P. (2017). Opportunities, propensities, and misgivings: some closing comments. Journal of Business Venturing Insights, 8, 123–124. · doi:10.1016/j.jbvi.2017.09.002
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Cited by
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120420 · Cited by 910
Artificial intelligence and industrial innovation: Evidence from German firm-level data
Rammer, C., Fernández, G. P., & Czarnitzki, D. (2022) · Research Policy · doi:10.1016/j.respol.2022.104555 · Cited by 489
Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence
Lee, J., Suh, T., Roy, D., & Baucus, M. (2019) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc5030044 · Cited by 441
Brown, R., & Rocha, A. (2020) · Journal of Business Venturing Insights · doi:10.1016/j.jbvi.2020.e00174 · Cited by 325
Chen, D., Esperança, J. P., & Wang, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.884830 · Cited by 198
Metadata
- Authors
- Obschonka, M., & Audretsch, D. B.
- Venue
- Small Business Economics
- Published
- 2019-06-06
- Volume
- 55
- Issue
- 3
- Pages
- 529-539
- ISSN
- 0921-898X (ISSN-L)
- 1573-0913
- OpenAlex
- W2947746147
- Cited by
- 527
- References
- 114
- FWCI
- 43.25
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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