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Collaboration patterns in patent networks and their relationship with the transfer of technology: the case study of the CSIC patents

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  • José Luis Ortega

    (R&D Unit, CSIC)

Abstract

The aim of this article is to observe differences between research areas when it comes to establish collaboration ties with local, national or international partners. It also intends to determine in what extent the collaboration can influence the patent transfer. A collaboration network between CSIC researchers and their external collaborators was built. Several statistical tests were used to find significant differences between research areas. A multiple regression model was also utilized in order to know what type of collaboration is more successful to transfer a patent. The results show that there are two well defined groups. A “Bio” group with a high international collaboration pattern but less national participation; and a “Physicist” group supported by a high proportion of national partners but with few international connections. The regression analysis found that the national collaboration is the variable that most increase the patent transfer.

Suggested Citation

  • José Luis Ortega, 2011. "Collaboration patterns in patent networks and their relationship with the transfer of technology: the case study of the CSIC patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 657-666, June.
    • Handle: RePEc:spr:scient:v:87:y:2011:i:3:d:10.1007_s11192-011-0363-4
    DOI: 10.1007/s11192-011-0363-4
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    2. Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Yun-Hua Zhao, 2012. "The inventive activities and collaboration pattern of university–industry–government in China based on patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 231-251, January.
    3. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.
    4. Anna Sworowska-Baranowska, 2021. "Science-Nonscience Research Partnership in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 96-113.
    5. Angelou, Konstantinos & Maragakis, Michael & Argyrakis, Panos, 2019. "A structural analysis of the patent citation network by the k-shell decomposition method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 476-483.
    6. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    7. Tao Hu & Yin Zhang, 2021. "A spatial–temporal network analysis of patent transfers from U.S. universities to firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 27-54, January.
    8. Maria Benavent-Pérez & Juan Gorraiz & Christian Gumpenberger & Félix Moya-Anegón, 2012. "The different flavors of research collaboration: a case study of their influence on university excellence in four world regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 41-58, October.
    9. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    10. Yue Li & Hang Guo & Sarah Yvonne Cooper & Hongqi Wang, 2019. "The Influencing Factors of the Technology Standard Alliance Collaborative Innovation of Emerging Industry," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    11. Barbosa, Sergio & Sáiz, Patricio & Zofío, José L., 2024. "The emergence and historical evolution of innovation networks: On the factors promoting and hampering patent collaboration in technological lagging economies," Research Policy, Elsevier, vol. 53(5).

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