Analysing knowledge capture mechanisms: Methods and a stylised bioventure case
| Autor: | Daniel Pardo, Antoine Schoen, Edwin Horlings, Patricia Laurens, Koichi Sumikura, Peter van den Besselaar, T. Gurney |
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| Přispěvatelé: | Laboratoire Interdisciplinaire Sciences, Innovations, Sociétés (LISIS), Institut National de la Recherche Agronomique (INRA)-Université Paris-Est Marne-la-Vallée (UPEM)-ESIEE Paris-Centre National de la Recherche Scientifique (CNRS), Organization Sciences, Network Institute, Organization & Processes of Organizing in Society (OPOS), Rathenau Institute |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Knowledge management
Process (engineering) Computer science business.industry Concept clusters Knowledge transfer Library and Information Sciences Computer Science Applications [SHS]Humanities and Social Sciences Non-patent literature references Absorptive capacity Black box Completeness (order theory) Knowledge capture Transfer mechanism business Patent applications TRACE (psycholinguistics) |
| Zdroj: | Journal of Informetrics Journal of Informetrics, Elsevier, 2014, 8 (1), pp.259-272. ⟨10.1016/j.joi.2013.12.007⟩ Journal of Informetrics, 8(1), 259-272. Elsevier BV Gurney, T, Horlings, E, van den Besselaar, P A A, Sumikura, K, Schoen, A, Laurens, P & Pardo, D 2014, ' Analysing knowledge capture mechanisms: Methods and a stylised bioventure case ', Journal of Informetrics, vol. 8, no. 1, pp. 259-272 . https://doi.org/10.1016/j.joi.2013.12.007 Journal of Informetrics, 8(1), 259-272. Elsevier B.V. |
| ISSN: | 1751-1577 |
| DOI: | 10.1016/j.joi.2013.12.007⟩ |
| Popis: | International audience; Knowledge transfer between science and technology has been studied at micro- and macro-levels of analysis. This has contributed to the understanding of the mechanisms and drivers, but actual transfer mechanism and process, be they through codified or tacit sources, have very rarely been mapped and measured to completeness and remain, to a large extent, a black box. We develop a novel method for mapping science-technology flows and introduce 'concept clusters' as an instrument to do so. Using patent and publication data, we quantitatively and visually demonstrate the flows of knowledge between academia and industry. We examine the roles of exogenous and endogenous knowledge sources, and of co-inventors and co-authors in the application of university-generated knowledge. When applied to a stylised case, we show that the method is able to trace the linkages between base knowledge and skill sets and their application to a technology, which in some instances span over twenty-five years. |
| Databáze: | OpenAIRE |
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