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Cited by 997

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Commercializing Knowledge: University Science, Knowledge Capture, and Firm Performance in Biotechnology

Zucker, Lynne G., Darby, Michael R., Armstrong, Jeff S.·2002·Management Science

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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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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CoChat. (2026). Citation check: Commercializing Knowledge: University Science, Knowledge Capture, and Firm Performance in Biotechnology. https://app.cochat.ai/papers/10.1287/mnsc.48.1.138.14274
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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.