%0 Journal Article %1 Levy2007 %A Levy, Rachel %A Roux, Pascale %A Wolff, Sandrine %D 2007 %J The Journal of Technology Transfer %K Channels analysis,Science–industry behaviours collaborations,Typology collaborative industrial of technology transfers,Empirical %N 1 %P 1--23 %R 10.1007/s10961-007-9044-0 %T An analysis of science–industry collaborative patterns in a large European University %U http://www.springerlink.com/index/10.1007/s10961-007-9044-0 %V 34 %X 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.

@article{Levy2007, abstract = {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.}, added-at = {2012-02-27T06:11:36.000+0100}, author = {Levy, Rachel and Roux, Pascale and Wolff, Sandrine}, biburl = {https://www.bibsonomy.org/bibtex/2f0c8d2bbff0900443dd95bb0eabb80fe/kamil205}, doi = {10.1007/s10961-007-9044-0}, file = {:Users/Miguel/Dropbox/Escola/Artigos/Levy, Roux, Wolff\_2007\_An analysis of science–industry collaborative patterns in a large European University.pdf:pdf}, interhash = {802bc888b6244030a95a60a2871c5fa2}, intrahash = {f0c8d2bbff0900443dd95bb0eabb80fe}, issn = {0892-9912}, journal = {The Journal of Technology Transfer}, keywords = {Channels analysis,Science–industry behaviours collaborations,Typology collaborative industrial of technology transfers,Empirical}, month = sep, number = 1, pages = {1--23}, timestamp = {2012-02-27T06:11:49.000+0100}, title = {{An analysis of science–industry collaborative patterns in a large European University}}, url = {http://www.springerlink.com/index/10.1007/s10961-007-9044-0}, volume = 34, year = 2007 }