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A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows

Author

Listed:
  • Leonardo Costa Ribeiro

    (Inmetro)

  • Glenda Kruss

    (HSRC)

  • Gustavo Britto

    (Cedeplar-UFMG)

  • Américo Tristão Bernardes

    (UFOP)

  • Eduardo Motta e Albuquerque

    (Cedeplar-UFMG
    Universidade Federal de Minas Gerais)

Abstract

This paper presents a new methodology to describe global innovations networks. Using 167,315 USPTO patents granted in 2009 and the papers they cited, this methodology shows “scientific footprints of technology” that cross national boundaries, and how multinational enterprises interact globally with universities and other firms. The data and the map of these flows provide insights to support a tentative taxonomy of global innovation networks.

Suggested Citation

  • Leonardo Costa Ribeiro & Glenda Kruss & Gustavo Britto & Américo Tristão Bernardes & Eduardo Motta e Albuquerque, 2014. "A methodology for unveiling global innovation networks: patent citations as clues to cross border knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 61-83, October.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:1:d:10.1007_s11192-014-1351-2
    DOI: 10.1007/s11192-014-1351-2
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    1. Márcia Siqueira Rapini & Hérica Morais Righi, 2007. "Interação Universidade-Empresa no Brasil em 2002 e 2004: Uma Aproximação a Partir dos Grupos de Pesquisa do CNPq," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 8(2), pages 248-268.
    2. Leonardo Costa Ribeiro & Ricardo Machado Ruiz & Américo Tristão Bernardes & Eduardo Motta Albuquerque, 2010. "Matrices of science and technology interactions and patterns of structured growth: implications for development," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 55-75, April.
    3. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    4. Arnold Verbeek & Koenraad Debackere & Marc Luwel & Petra Andries & Edwin Zimmermann & Filip Deleus, 2002. "Linking science to technology: Using bibliographic references in patents to build linkage schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 399-420, July.
    5. Mark A. Lemley & Bhaven Sampat, 2012. "Examiner Characteristics and Patent Office Outcomes," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 817-827, August.
    6. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2003. "Links and Impacts: The Influence of Public Research on Industrial R&D," Chapters, in: Aldo Geuna & Ammon J. Salter & W. Edward Steinmueller (ed.), Science and Innovation, chapter 4, Edward Elgar Publishing.
    7. John H. Dunning & Sarianna M. Lundan, 2008. "Multinational Enterprises and the Global Economy, Second Edition," Books, Edward Elgar Publishing, number 3215.
    8. Ernst, Dieter & East-West Center (ed.), 2006. "Innovation Offshoring:Asia's Emerging Role in Global Innovation Networks," Economics Study Area Special Reports, East-West Center, Economics Study Area, volume 10, number ewcsreport1, January -.
    9. Gustavo Britto & Ot�vio Camargo & Glenda Kruss & Eduardo Albuquerque, 2013. "Global interactions between firms and universities," Innovation and Development, Taylor & Francis Journals, vol. 3(1), pages 71-87, April.
    10. Julie Callaert & Bart Van Looy & Arnold Verbeek & Koenraad Debackere & Bart Thijs, 2006. "Traces of Prior Art: An analysis of non-patent references found in patent documents," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 3-20, October.
    11. Julie Callaert & Maikel Pellens & Bart Looy, 2014. "Sources of inspiration? Making sense of scientific references in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1617-1629, March.
    12. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    13. Julie Callaert & Joris Grouwels & Bart Looy, 2012. "Delineating the scientific footprint in technology: Identifying scientific publications within non-patent references," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 383-398, May.
    14. Jiancheng Guan & Ying He, 2007. "Patent-bibliometric analysis on the Chinese science — technology linkages," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 403-425, September.
    15. Sujit Bhattacharya & Martin Meyer, 2003. "Large firms and the science-technology interface Patents, patent citations, and scientific output of multinational corporations in thin films," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 265-279, October.
    16. Jeannette Colyvas & Michael Crow & Annetine Gelijns & Roberto Mazzoleni & Richard R. Nelson & Nathan Rosenberg & Bhaven N. Sampat, 2002. "How Do University Inventions Get Into Practice?," Management Science, INFORMS, vol. 48(1), pages 61-72, January.
    17. Michael Roach & Wesley M. Cohen, 2013. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," Management Science, INFORMS, vol. 59(2), pages 504-525, October.
    18. R. J. W. Tussen & R. K. Buter & Th. N. van Leeuwen, 2000. "Technological Relevance of Science: An Assessment of Citation Linkages between Patents and Research Papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 389-412, February.
    19. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    20. A C Fernandes & B Campello de Souza & A Stamford da Silva & W Suzigan & C V Chaves & E Albuquerque, 2010. "Academy—industry links in Brazil: evidence about channels and benefits for firms and researchers," Science and Public Policy, Oxford University Press, vol. 37(7), pages 485-498, August.
    21. Arnold Verbeek & Koenraad Debackere & Marc Luwel, 2003. "Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 241-263, October.
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    Cited by:

    1. Matt Marx & Aaron Fuegi, 2020. "Reliance on science: Worldwide front‐page patent citations to scientific articles," Strategic Management Journal, Wiley Blackwell, vol. 41(9), pages 1572-1594, September.
    2. Leonardo Costa Ribeiro & Ulisses Pereira Santos & Valbona Muzaka, 2022. "Trademarks as an indicator of innovation: towards a fuller picture," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 481-508, January.
    3. Csomós, György & Tóth, Géza, 2016. "Exploring the position of cities in global corporate research and development: A bibliometric analysis by two different geographical approaches," Journal of Informetrics, Elsevier, vol. 10(2), pages 516-532.
    4. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo da Motta e Albuquerque, 2017. "Cross-border co-authorships in scientific articles and knowledge flows: implications for investigating an emerging international system of innovation," Textos para Discussão Cedeplar-UFMG 553, Cedeplar, Universidade Federal de Minas Gerais.
    5. Yindan Ye & Kevin De Moortel & Thomas Crispeels, 2020. "Network dynamics of Chinese university knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1228-1254, August.
    6. Wei Yang & Xiang Yu & Ben Zhang & Ziyang Huang, 2021. "Mapping the landscape of international technology diffusion (1994–2017): network analysis of transnational patents," The Journal of Technology Transfer, Springer, vol. 46(1), pages 138-171, February.
    7. Wei Yang & Xiang Yu & Dian Wang & Jinrui Yang & Ben Zhang, 2021. "Spatio-temporal evolution of technology flows in China: patent licensing networks 2000–2017," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1674-1703, October.
    8. Csomós György, 2017. "Mapping Spatial and Temporal Changes of Global Corporate Research and Development Activities by Conducting a Bibliometric Analysis," Quaestiones Geographicae, Sciendo, vol. 36(1), pages 65-77, March.
    9. Feng, Sida & Magee, Christopher L., 2020. "Technological development of key domains in electric vehicles: Improvement rates, technology trajectories and key assignees," Applied Energy, Elsevier, vol. 260(C).
    10. Egor V. Dudukalov & Natalia D. Rodionova & Yana E. Sivakova & Elena Vyugova & Irina V. Cheryomushkina & Elena G. Popkova, 2016. "Global Innovational Networks: Sense and Role in Development of Global Economy," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(4), December.
    11. Li, Wei & Liu, Zhi & Xia, Senmao & Yan, Ji & Xiong, Yu & Sakka, Georgia & Yu Li, Rebecca, 2022. "How can emerging-market SMEs domestically benefit from their performance in developed countries? Empirical evidence from China," Journal of Business Research, Elsevier, vol. 142(C), pages 200-210.
    12. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    13. Joaquín M. Azagra-Caro & Elena M. Tur, 2018. "Examiner trust in applicants to the European Patent Office: country specificities," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1319-1348, December.
    14. Abdul Rahman Shaikh & Hamed Alhoori, 2019. "Predicting Patent Citations to measure Economic Impact of Scholarly Research," Papers 1906.08244, arXiv.org.
    15. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo Motta Albuquerque, 2018. "Growth patterns of the network of international collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 159-179, January.
    16. Kuan, Chung-Huei & Lin, Jia-Tian & Chen, Dar-Zen, 2021. "Characterizing Patent Assignees by Their Structural Positions Relative to a Field’s Evolutionary Trajectory," Journal of Informetrics, Elsevier, vol. 15(4).
    17. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Eduardo da Motta e Albuquerque, 2019. "Networks of international patent citations: pattern of growth, self-organization and change," Textos para Discussão Cedeplar-UFMG 605, Cedeplar, Universidade Federal de Minas Gerais.
    18. Leonardo Costa Ribeiro & Jorge Nogueira de Paiva Britto & Eduardo da Motta e Albuquerque, 2022. "The emergence of a Global Innovation System: an inter-temporal analysis through a network of networks," Textos para Discussão Cedeplar-UFMG 645, Cedeplar, Universidade Federal de Minas Gerais.
    19. Chen, Feiqiong & Liu, Huiqian & Ge, Yuhao, 2021. "How does integration affect industrial innovation through networks in technology-sourcing overseas M&A? A comparison between China and the US," Journal of Business Research, Elsevier, vol. 122(C), pages 281-292.

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    More about this item

    Keywords

    Multinational firms; Global innovation networks; Diffusion; Patents; Knowledge flows; Methodology;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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