An analysis of science-industry collaborative patterns in a large European University

Our paper analyses the modalities according to which a large European university collaborates with firms by exploring its relational portfolio. We address this issue by exploiting a database that lists more than 1,000 firms having collaborated with the University Louis Pasteur (ULP) between 1990 and...

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Bibliographic Details
Published in:The Journal of technology transfer 2009-02, Vol.34 (1), p.1-23
Main Authors: Levy, Rachel, Roux, Pascale, Wolff, Sandrine
Format: Article
Language:English
Subjects:
Business and Management
Channels
Coherence
Collaboration
Colleges & universities
Commercial Law
Contracts
Cooperation
cooperative research
Economic Growth
Economics and Finance
Empirische Methode
Forschungskooperation
Frankreich
Group dynamics
Hochschule
Humanities and Social Sciences
Industrial Organization
industry
Innovation/Technology Management
Innovations
Interactive learning
Joint ventures
Knowledge
Kooperation
Lists
Management
Partnerships
Position (location)
Science
Straßburg
Studies
Technologietransfer
Technology transfer
universities
university research
Universität
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Summary:Our paper analyses the modalities according to which a large European university collaborates with firms by exploring its relational portfolio. We address this issue by exploiting a database that lists more than 1,000 firms having collaborated with the University Louis Pasteur (ULP) between 1990 and 2002. We first observe the relative importance of four collaborative channels (private contracts, European contracts, co-publications, co-inventions) across the whole population of firms. Second, using a multi-correspondence analysis, we derive a typology of collaborative patterns which underline the discriminating features of the frequency of interactions, of the exclusive versus open character of the relationships and of the nature of the collaborative channels. Four coherent classes emerge from particular combinations of these relational characteristics. Finally, using multinomial logit estimation, we show how this diversity of partnerships is connected to some individual attributes of the firms: size, status, sector and location.
ISSN:0892-9912
0892-9912
1573-7047
DOI:10.1007/s10961-007-9044-0