A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology
| Autor: | Katia Angué, Liliana Mitkova, Cécile Ayerbe |
|---|---|
| Přispěvatelé: | Centre d'Économie et de Management de l'Océan Indien (CEMOI), Université de La Réunion (UR), Groupe de Recherche en Droit, Economie et Gestion (GREDEG), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Gestion (IRG), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), ESIA, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS) |
| Rok vydání: | 2013 |
| Předmět: |
business.industry
Proximity Strategy General Engineering Commercial law Exploratory research IRG_AXE3 Technological proximity new organizational design Choice of partner R&D Collaborations International Patent Classification (IPC) Biotechnology Outsourcing Cooperation outsourcing Accounting [SHS.GESTION]Humanities and Social Sciences/Business administration Business and International Management Dual method business Patents Patent classification |
| Zdroj: | Journal of Technology Transfer Journal of Technology Transfer, Springer Verlag, 2014, 39 (5), pp.716-747. ⟨10.1007/s10961-013-9325-8⟩ |
| ISSN: | 1573-7047 0892-9912 |
| DOI: | 10.1007/s10961-013-9325-8 |
| Popis: | International audience; This paper aims to show how the information contained in patent documents can be used to identify basic and specific technological proximities between firms and therefore a potential research and development (R&D) partner. More generally, it looks at patents as a strategic tool that can be used for concluding cooperative R&D agreements (CRDA). The approach begins by looking at the state of the art on the role of technological proximity in CRDAs. This review clearly raises the problem of measuring technological proximity, which needs to be gauged at a two-fold level: general and specific. Then a dual method based on patent portfolios for analyzing the profiles of different potential partners is described along with an example of its application. Concretely, the exploratory study proposed here is based on an analysis of the patent portfolios of 14 French listed biotechnology companies and those of their main R&D partners. The analysis of 5,603 patents filed by the focal firms and their partners shows how the approach can be used to identify compatible partners that are more or less technologically matched. |
| Databáze: | OpenAIRE |
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