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Employee Startups in High-Tech Industries
Abstract
Various theories that can account for employees leaving incumbent firms to start their own firms in the same industry are discussed. The theories are evaluated using evidence from three new and one old study of such employee startups in high‐tech industries and from studies of high‐tech and high‐growth startups of all kinds. A new, evolutionary‐based theory that builds on and extends existing theories is sketched out to provide a novel interpretation of the evidence.
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Cited by
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Ács, Z. J., Autio, E., & Szerb, L. (2014) · Research Policy · doi:10.1016/j.respol.2013.08.016 · Cited by 1,301
The birth of capabilities: market entry and the importance of pre-history
Helfat, C. E. (2002) · Industrial and Corporate Change · doi:10.1093/icc/11.4.725 · Cited by 1,087
Pre-Entry Knowledge, Learning, and the Survival of New Firms
Dencker, J. C., Gruber, M., & Shah, S. K. (2009) · Organization Science · doi:10.1287/orsc.1080.0387 · Cited by 369
The impact of entrepreneurship education in high school on long-term entrepreneurial performance
Elert, N., Andersson, F. W., & Wennberg, K. (2015) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2014.12.020 · Cited by 290
Practice makes perfect: entrepreneurial-experience curves and venture performance
Toft-Kehler, R., Wennberg, K., & Kim, P. H. (2014) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2013.07.001 · Cited by 216
The sustainable start‐up paradox: Predicting the business and climate performance of start‐ups
Leendertse, J., van Rijnsoever, F. J., & Eveleens, C. P. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2667 · Cited by 64
Metadata
- Authors
- Klepper, S.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-08-01
- Volume
- 10
- Issue
- 3
- Pages
- 639-674
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W2033686924
- Cited by
- 615
- References
- 0
- FWCI
- 31.86
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
