The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Assessing the Relationship between Human Capital and Firm Performance: Evidence from Technology–Based New Ventures
Abstract
We assess the role of human capital in the growth and development of new technology–based ventures, based on longitudinal data from 198 high–tech ventures. Our empirical results imply that there is a strong relationship between team experience and strategy. Although there is a weak direct link between team experience and venture performance, the findings strongly suggest that the fit between strategy and team experience is a key determinant of the long–term performance of high–tech entrepreneurial ventures. For small, technology–based new ventures, the team's technological experience appears to be the most important determinant of the success of a differentiation strategy.
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Citations
Cites
Competitive Strategy: Techniques for Analyzing Industries and Competitors
(1980) · Journal of Sustainable Competitive Intelligence · doi:10.24883/iberoamericanic.v2i2.38 · Cited by 16,592
Cited by
Overcoming human capital voids in underdeveloped countries
Wang, S. L., & Cuervo‐Cazurra, A. (2017) · Global Strategy Journal · doi:10.1002/gsj.1144 · Cited by 36
Metadata
- Authors
- Shrader, R., & Siegel, D. S.
- Venue
- Entrepreneurship Theory and Practice
- Publisher
- SAGE Publications
- Published
- 2007-11
- Volume
- 31
- Issue
- 6
- Pages
- 893-908
- ISSN
- 1042-2587 (ISSN-L)
- 1540-6520
- OpenAlex
- W2053511235
- Cited by
- 325
- References
- 1
- FWCI
- 20.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shrader, R., & Siegel, D. S. (2007). Assessing the Relationship between Human Capital and Firm Performance: Evidence from Technology–Based New Ventures. Entrepreneurship Theory and Practice. https://doi.org/10.1111/j.1540-6520.2007.00206.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
