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Measuring relatedness between technological fields

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  • Si Hyung Joo

    (Seoul National University)

  • Yeonbae Kim

    (Seoul National University)

Abstract

Intensified technology convergence, increasing relatedness between technological fields, is a mega-trend in 21st century science and technology. However, scientometrics has been unsuccessful in identifying this techno-economic paradigm change. To address the limitations and validity problems of conventional measures of technology convergence, we introduce a multi-dimensional contingency table representation of technological field co-occurrence and a relatedness measure based on the Mantel–Haenszel common log odds ratio. We used Korean patent data to compare previous and proposed methods. Results show that the proposed method can increase understanding of the techno-economic paradigm change because it reveals significant changes in technological relatedness over time.

Suggested Citation

  • Si Hyung Joo & Yeonbae Kim, 2010. "Measuring relatedness between technological fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 435-454, May.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:2:d:10.1007_s11192-009-0108-9
    DOI: 10.1007/s11192-009-0108-9
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    1. repec:fth:harver:1473 is not listed on IDEAS
    2. Katherine W. McCain, 1991. "Mapping economics through the journal literature: An experiment in journal cocitation analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(4), pages 290-296, May.
    3. 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.
    4. Tijssen, Robert J. W., 1992. "A quantitative assessment of interdisciplinary structures in science and technology: Co-classification analysis of energy research," Research Policy, Elsevier, vol. 21(1), pages 27-44, February.
    5. Mosahid Khan & Hélène Dernis, 2006. "Global Overview of Innovative Activities from the Patent Indicators Perspective," OECD Science, Technology and Industry Working Papers 2006/3, OECD Publishing.
    6. Iain M. Cockburn & Samuel Kortum & Scott Stern, 2002. "Are All Patent Examiners Equal? The Impact of Examiner Characteristics," NBER Working Papers 8980, National Bureau of Economic Research, Inc.
    7. Zoltan J. Acs & David B. Audretsch, 1989. "Patents' Innovative Activity," Eastern Economic Journal, Eastern Economic Association, vol. 15(4), pages 373-376, Oct-Dec.
    8. Hariolf Grupp, 1998. "Foundations of the Economics of Innovation," Books, Edward Elgar Publishing, number 1390.
    9. Criscuolo, Paola & Verspagen, Bart, 2005. "Does it matter where patent citations come from? Inventor versus examiner citations in European patents," Research Memorandum 017, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    10. Eaton, Jonathan & Kortum, Samuel, 1996. "Trade in ideas Patenting and productivity in the OECD," Journal of International Economics, Elsevier, vol. 40(3-4), pages 251-278, May.
    11. Healey, Peter & Rothman, Harry & Hoch, Paul K., 1986. "An experiment in science mapping for research planning," Research Policy, Elsevier, vol. 15(5), pages 233-251, October.
    12. Zoltan J. Acs & David B. Audretsch, 1989. "Patents as a Measure of Innovative Activity," Kyklos, Wiley Blackwell, vol. 42(2), pages 171-180, August.
    13. Lionel Nesta & Pier Paolo Saviotti, 2005. "Coherence Of The Knowledge Base And The Firm'S Innovative Performance: Evidence From The U.S. Pharmaceutical Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 123-142, March.
    14. Loet Leydesdorff, 2008. "Patent classifications as indicators of intellectual organization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(10), pages 1582-1597, August.
    15. repec:bla:kyklos:v:42:y:1989:i:2:p:171-80 is not listed on IDEAS
    16. Jesper W. Schneider & Pia Borlund, 2007. "Matrix comparison, Part 1: Motivation and important issues for measuring the resemblance between proximity measures or ordination results," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(11), pages 1586-1595, September.
    17. Martin Meyer, 2000. "What is Special about Patent Citations? Differences between Scientific and Patent Citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 93-123, August.
    18. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    19. David J. Teece & Richard Rumelt & Giovanni Dosi & Sidney Winter, 2000. "Understanding Corporate Coherence: Theory and Evidence," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 9, pages 264-293, Edward Elgar Publishing.
    20. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    21. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    22. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    23. Lionel Nesta & Pier Paolo Saviotti, 2005. "Coherence of the Knowledge Base and the Firms’ Innovative Performance. Evidence from the Bio-Pharmaceutical Industry," SciencePo Working papers Main hal-03417696, HAL.
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    9. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2019. "Coherent diversification in corporate technological portfolios," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
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    11. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2017. "Coherent diversification in corporate technological portfolios," Papers 1707.02188, arXiv.org.
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    13. Eum, Wonsub & Lee, Jeong-Dong, 2019. "Role of production in fostering innovation," Technovation, Elsevier, vol. 84, pages 1-10.
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