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Commercializing Knowledge: University Science, Knowledge Capture, and Firm Performance in Biotechnology
Abstract
Commercializing knowledge involves transfer from discovering scientists to those who will develop it commercially. New codes and formulae describing discoveries develop slowly-with little incentive if value is low and many competing opportunities if high. Hence new knowledge remains naturally excludable and appropriable. Team production allows more knowledge capture of tacit, complex discoveries by firm scientists. A robust indicator of a firm's tacit knowledge capture (and strong predictor of its success) is the number of research articles written jointly by firm scientists and discovering, “star” scientists, nearly all working at top universities. An operationally attractive generalization of our star measure-collaborative research articles between firm scientists and top research university scientists-replicates the impact on firm success. In panel analyses, publications by firm scientists with stars and/or top 112 university scientists increase the number and citation rate for firm patents. Further, star articles increase these rates significantly more than other top 112 university scientists' articles. Cross-sectional analyses of products and employment show a similar pattern of positive effects on firms' success of collaborations with stars or top university scientists, but estimates of differential effects are nonrobust due to multicollinearity. Venture capital funding has significant, usually positive effects on firm success.
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Cited by
Bekkers, R., & Bodas Freitas, I. M. (2008) · Research Policy · doi:10.1016/j.respol.2008.07.007 · Cited by 834
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Hoang, H., & Rothaermel, F. T. (2005) · Academy of Management Journal · doi:10.5465/amj.2005.16928417 · Cited by 784
Roach, M., & Sauermann, H. (2010) · Research Policy · doi:10.1016/j.respol.2010.01.004 · Cited by 520
Best channels of academia–industry interaction for long-term benefit
De Fuentes, C., & Dutrénit, G. (2012) · Research Policy · doi:10.1016/j.respol.2012.03.026 · Cited by 357
Landry, R., Amara, N., & Rherrad, I. (2006) · Research Policy · doi:10.1016/j.respol.2006.09.020 · Cited by 305
Metadata
- Authors
- Zucker, L. G., Darby, M. R., & Armstrong, J. S.
- Venue
- Management Science
- Published
- 2002-01
- Volume
- 48
- Issue
- 1
- Pages
- 138-153
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2892063029
- Cited by
- 997
- References
- 0
- FWCI
- 66.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zucker, L. G., Darby, M. R., & Armstrong, J. S. (2002). Commercializing Knowledge: University Science, Knowledge Capture, and Firm Performance in Biotechnology. Management Science. https://doi.org/10.1287/mnsc.48.1.138.14274
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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.