IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v84y2010i3d10.1007_s11192-009-0133-8.html
   My bibliography  Save this article

Identification of technological knowledge intermediaries

Author

Listed:
  • Hyojeong Lim

    (Seoul National University)

  • Yongtae Park

    (Seoul National University)

Abstract

Intermediaries in a technological knowledge network have recently been highlighted as crucial innovation drivers that accelerate technological knowledge flows. Although the patent network analysis has been frequently used to monitor technological knowledge structures, it has examined only sources or recipients of the technological knowledge by mainly estimating technological knowledge inflows or outflows of a network node. This study, therefore, aims to identify technological knowledge intermediaries when a technology-level knowledge network is composed of several industries. First, types of technological knowledge flows are deductively classified into four types by highlighting industry affiliations of source technologies and recipient technologies. Second, a directed technological knowledge network is generated at the technology class level, using patent co-classification analysis. Third, for each class, mediating scores are measured according to the four types. The empirical analysis illustrates the Korea’s technological knowledge network between 2000 and 2008. As a result, the four types of mediating scores are compared between industries, and industry-wise technological knowledge intermediaries are identified. The proposed approach is practical to explore converging processes in technology development where technology classes act as technological knowledge intermediaries among diverse industries.

Suggested Citation

  • Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
    • Handle: RePEc:spr:scient:v:84:y:2010:i:3:d:10.1007_s11192-009-0133-8
    DOI: 10.1007/s11192-009-0133-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0133-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-009-0133-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
    2. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    3. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    4. Francesco Lissoni, 2008. "Academic inventors as brokers: An exploratory analysis of the KEINS database," KITeS Working Papers 213, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Jan 2008.
    5. Thomas Heinze & Gerrit Bauer, 2007. "Characterizing creative scientists in nano-S&T: Productivity, multidisciplinarity, and network brokerage in a longitudinal perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 811-830, March.
    6. 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.
    7. Howells, Jeremy, 2006. "Intermediation and the role of intermediaries in innovation," Research Policy, Elsevier, vol. 35(5), pages 715-728, June.
    8. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    9. Icíar Dominguez Lacasa & Hariolf Grupp & Ulrich Schmoch, 2003. "Tracing technological change over long periods in Germany in chemicals using patent statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 175-195, June.
    10. Dar-Zen Chen & Han-Wen Chang & Mu-Hsuan Huang & Feng-Cheng Fu, 2005. "Core technologies and key industries in Taiwan from 1978 to 2002: A perspective from patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 31-53, July.
    11. repec:fth:harver:1473 is not listed on IDEAS
    12. Scherer, F. M., 1982. "Inter-industry technology flows in the United States," Research Policy, Elsevier, vol. 11(4), pages 227-245, August.
    13. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    14. Shin, Juneseuk & Park, Yongtae, 2007. "Building the national ICT frontier: The case of Korea," Information Economics and Policy, Elsevier, vol. 19(2), pages 249-277, June.
    15. Bart Verspagen, 1997. "Measuring Intersectoral Technology Spillovers: Estimates from the European and US Patent Office Databases," Economic Systems Research, Taylor & Francis Journals, vol. 9(1), pages 47-65.
    16. Grupp, Hariolf, 1996. "Spillover Effects and the Science Base of Innovations Reconsidered: An Empirical Approach," Journal of Evolutionary Economics, Springer, vol. 6(2), pages 175-197, May.
    17. Ronde, Patrick, 2001. "Technological clusters with a knowledge-based principle: evidence from a Delphi investigation in the French case of the life sciences," Research Policy, Elsevier, vol. 30(7), pages 1041-1057, August.
    18. Juneseuk Shin & Wook Lee & Yongtae Park, 2006. "On the benchmarking method of patent-based knowledge flow structure: Comparison of Korea and Taiwan with USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(3), pages 551-574, December.
    19. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
    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. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    22. Han, Yoo-Jin & Park, Yongtae, 2006. "Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries," World Patent Information, Elsevier, vol. 28(3), pages 235-247, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zifeng Chen & Jiancheng Guan, 2011. "Mapping of biotechnology patents of China from 1995–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 73-89, July.
    2. Howells, Jeremy, 2024. "Innovation intermediaries in a digital paradigm: A theoretical perspective," Technovation, Elsevier, vol. 129(C).
    3. Qiao Zheng & Lu-Cheng Huang & Fei-Fei Wu & Wu Dan & Zhang Hui, 2017. "Analyzing Technological Knowledge Diffusion Among Technological Fields Using Patent Data: The Example of Microfluidics," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-17, February.
    4. Li, Shuying & Zhang, Xian & Xu, Haiyun & Fang, Shu & Garces, Edwin & Daim, Tugrul, 2020. "Measuring strategic technological strength :Patent Portfolio Model," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Park, Youngjin & Yoon, Janghyeok, 2017. "Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 170-183.
    6. Sung-Seok Ko & Namuk Ko & Doyeon Kim & Hyunseok Park & Janghyeok Yoon, 2014. "Analyzing technology impact networks for R&D planning using patents: combined application of network approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 917-936, October.
    7. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    8. Alonso-Martínez, Daniel, 2018. "Social progress and international patent collaboration," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 169-177.
    9. Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
    10. José-Antonio Belso-Martínez & Manuel Expósito-Langa, 2015. "Persistence and extinction of brokerage roles in clusters: the role of status, former experiences and extra-cluster relationships," Papers in Evolutionary Economic Geography (PEEG) 1501, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2015.
    11. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
    12. Aaldering, Lukas Jan & Song, Chie Hoon, 2021. "Of leaders and laggards - Towards digitalization of the process industries," Technovation, Elsevier, vol. 105(C).
    13. José Antonio Belso-Martínez & Manuel Expósito-Langa & Francisco Mas-Verdú & F. Xavier Molina-Morales, 2017. "Dynamics of Brokerage Positions in Clusters: Evidence from the Spanish Foodstuffs Industry," Sustainability, MDPI, vol. 9(2), pages 1-18, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    2. David Rigby, 2012. "The Geography of Knowledge Relatedness and Technological Diversification in U.S. Cities," Papers in Evolutionary Economic Geography (PEEG) 1218, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2012.
    3. Barbieri, Nicolò, 2015. "Investigating the impacts of technological position and European environmental regulation on green automotive patent activity," Ecological Economics, Elsevier, vol. 117(C), pages 140-152.
    4. Seh-Hyun Yoo & Chang-Yang Lee, 2023. "Technological diversification, technology portfolio properties, and R&D productivity," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2074-2105, December.
    5. Park, Jongyong & Lee, Hakyeon & Park, Yongtae, 2009. "Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector," Technology in Society, Elsevier, vol. 31(1), pages 73-84.
    6. Maryann Feldman & Dieter Kogler & David Rigby, 2013. "rKnowledge: The Spatial Diffusion of rDNA Methods," Papers in Evolutionary Economic Geography (PEEG) 1311, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2013.
    7. Alessandra Colombelli & Gianluca Orsatti & Francesco Quatraro, 2021. "Local knowledge composition and the emergence of entrepreneurial activities across industries: evidence from Italian NUTS-3 regions," Small Business Economics, Springer, vol. 56(2), pages 613-635, February.
    8. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2013. "Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1469-1483.
    9. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    10. Stephan, Annegret & Schmidt, Tobias S. & Bening, Catharina R. & Hoffmann, Volker H., 2017. "The sectoral configuration of technological innovation systems: Patterns of knowledge development and diffusion in the lithium-ion battery technology in Japan," Research Policy, Elsevier, vol. 46(4), pages 709-723.
    11. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    12. Marcel Bednarz & Tom Broekel, 2019. "The relationship of policy induced R&D networks and inter-regional knowledge diffusion," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1459-1481, November.
    13. Wonchang Hur, 2017. "The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 595-619, May.
    14. Francesco Lamperti & Franco Malerba & Roberto Mavilia & Giorgio Tripodi, 2019. "Does the Position in the Inter-sectoral Knowledge Space affect the International Competitiveness of Industries?," LEM Papers Series 2019/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Ta-Shun Cho & Hsin-Yu Shih, 2011. "Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 795-811, December.
    16. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    17. Lorenz, Steffi, 2015. "Diversität und Verbundenheit der unternehmerischen Wissensbasis: Ein neuartiger Messansatz mit Indikatoren aus Innovationsprojekten," Discussion Papers on Strategy and Innovation 15-01, Philipps-University Marburg, Department of Technology and Innovation Management (TIM).
    18. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    19. Per Botolf Maurseth, 2005. "Lovely but dangerous: The impact of patent citations on patent renewal," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 351-374.
    20. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:84:y:2010:i:3:d:10.1007_s11192-009-0133-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.