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SSRN Electronic Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4337/978178...
Part of book or chapter of book . 2020 . Peer-reviewed
Data sources: Crossref
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Tacit Knowledge and University-Industry Technology Transfer

Authors: Lee, Peter;

Tacit Knowledge and University-Industry Technology Transfer

Abstract

Traditional conceptions of university-industry technology transfer typically focus on patenting and licensing of academic inventions. However, effective technology transfer often requires significant knowledge exchange between academic and commercial entities in parallel to patent licensing. Although patents on university technologies nominally disclose those inventions, a significant amount of knowledge related to practicing and commercializing them remains tacit or uncodified, residing in the mind of the faculty inventor. This chapter explores the nature of tacit knowledge and mechanisms for transferring it. It notes that the “tacit dimension” of university inventions can be quite high given the embryonic nature of such technologies. It further reveals that human and institutional connections play a critical role in transferring tacit knowledge between universities and commercial firms. In particular, networks, consulting engagements, sponsored research, proof of concept centers and incubators, and university spinoffs facilitate direct interactions between academic and commercial entities, thus promoting tacit knowledge exchange.

Country
United States
Keywords

technology transfer, networks, patents, tacit knowledge, sponsored research, spinoffs

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
Green