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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

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  • Katia Angue
  • Cécile Ayerbe
  • Liliana Mitkova

Abstract

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. Copyright Springer Science+Business Media New York 2014

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  • Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "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," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    • Handle: RePEc:kap:jtecht:v:39:y:2014:i:5:p:716-747
    DOI: 10.1007/s10961-013-9325-8
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    Cited by:

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    4. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2019. "Bibliographically coupled patents: Their temporal pattern and combined relevance," Journal of Informetrics, Elsevier, vol. 13(4).
    5. Alex J. Guerrero & Joost Heijs & Elena Huergo, 2023. "The effect of technological relatedness on firm sales evolution through external knowledge sourcing," The Journal of Technology Transfer, Springer, vol. 48(2), pages 476-514, April.
    6. Katsuyuki Kaneko & Yuya Kajikawa, 2023. "Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 163-177, June.

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    More about this item

    Keywords

    Patents; Strategy; Cooperation; Technological proximity; Choice of partner; International Patent Classification (IPC); O3;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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