IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v37y2012i3p355-374.html
   My bibliography  Save this article

Patent analysis for promoting technology transfer in multi-technology industries: the Korean aerospace industry case

Author

Listed:
  • Yongtae Park
  • Sungjoo Lee
  • Sora Lee

Abstract

No abstract is available for this item.

Suggested Citation

  • Yongtae Park & Sungjoo Lee & Sora Lee, 2012. "Patent analysis for promoting technology transfer in multi-technology industries: the Korean aerospace industry case," The Journal of Technology Transfer, Springer, vol. 37(3), pages 355-374, June.
  • Handle: RePEc:kap:jtecht:v:37:y:2012:i:3:p:355-374
    DOI: 10.1007/s10961-010-9181-8
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10961-010-9181-8
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10961-010-9181-8?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 B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    2. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    3. Hu, Albert G. Z. & Jaffe, Adam B., 2003. "Patent citations and international knowledge flow: the cases of Korea and Taiwan," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 849-880, June.
    4. Pavitt, Keith, 1998. "Technologies, Products and Organization in the Innovating Firm: What Adam Smith Tells Us and Joseph Schumpeter Doesn't," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 7(3), pages 433-452, September.
    5. Yamin, Mo. & Otto, Juliet, 2004. "Patterns of knowledge flows and MNE innovative performance," Journal of International Management, Elsevier, vol. 10(2), pages 239-258.
    6. Hertzfeld, Henry R, 2002. "Technology Transfer in the Space Sector: An International Perspective," The Journal of Technology Transfer, Springer, vol. 27(4), pages 307-309, December.
    7. Bach, L & Cohendet, P & Schenk, E, 2002. "Technological Transfers from the European Space Programs: A Dynamic View and Comparison with Other R&D Projects," The Journal of Technology Transfer, Springer, vol. 27(4), pages 321-338, December.
    8. Tijssen, Robert J. W., 2001. "Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows," Research Policy, Elsevier, vol. 30(1), pages 35-54, January.
    9. 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.
    10. Karki, M. M. S., 1997. "Patent citation analysis: A policy analysis tool," World Patent Information, Elsevier, vol. 19(4), pages 269-272, December.
    11. Lee, Gwanghoon, 2005. "Direct versus indirect international R&D spillovers," Information Economics and Policy, Elsevier, vol. 17(3), pages 334-348, July.
    12. Wang, Eric C., 2007. "R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 345-360.
    13. Patel, Pari & Pavitt, Keith, 1997. "The technological competencies of the world's largest firms: Complex and path-dependent, but not much variety," Research Policy, Elsevier, vol. 26(2), pages 141-156, May.
    14. Paola Criscuolo, 2003. "Reverse Technology Transfer: A Patent Citation Analysis of the European Chemical and Pharmaceutical Sectors," SPRU Working Paper Series 107, SPRU - Science Policy Research Unit, University of Sussex Business School.
    15. Lee, Gwanghoon, 2006. "The effectiveness of international knowledge spillover channels," European Economic Review, Elsevier, vol. 50(8), pages 2075-2088, November.
    16. F. M. Scherer, 1965. "Corporate Inventive Output, Profits, and Growth," Journal of Political Economy, University of Chicago Press, vol. 73(3), pages 290-290.
    17. Emmanuel Duguet & Megan MacGarvie, 2005. "How well do patent citations measure flows of technology? Evidence from French innovation surveys," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 375-393.
    18. Granstrand, Ove & Sjolander, Soren, 1990. "Managing innovation in multi-technology corporations," Research Policy, Elsevier, vol. 19(1), pages 35-60, February.
    19. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    20. Manuel Trajtenberg & Adam B. Jaffe & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May.
    21. Jung, Sungchang & Imm, Keun-Young, 2002. "The patent activities of Korea and Taiwan: a comparative case study of patent statistics," World Patent Information, Elsevier, vol. 24(4), pages 303-311, December.
    22. Daniel K. N. Johnson, 2002. "The OECD Technology Concordance (OTC): Patents by Industry of Manufacture and Sector of Use," OECD Science, Technology and Industry Working Papers 2002/5, OECD Publishing.
    23. Park, Yongtae & Yoon, Byungun & Lee, Sungjoo, 2005. "The idiosyncrasy and dynamism of technological innovation across industries: patent citation analysis," Technology in Society, Elsevier, vol. 27(4), pages 471-485.
    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. 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.
    2. Song, Kisik & Kim, Karp Soo & Lee, Sungjoo, 2017. "Discovering new technology opportunities based on patents: Text-mining and F-term analysis," Technovation, Elsevier, vol. 60, pages 1-14.
    3. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
    4. JinHyo Joseph Yun & EuiSeob Jeong & Xiaofei Zhao & Sung Deuk Hahm & KyungHun Kim, 2019. "Collective Intelligence: An Emerging World in Open Innovation," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    5. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    6. Junhyeog Choi & Sunghae Jun & Sangsung Park, 2016. "A Patent Analysis for Sustainable Technology Management," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    7. Wenjing Wang & Yiwei Liu, 2022. "Does University-industry innovation community affect firms’ inventions? The mediating role of technology transfer," The Journal of Technology Transfer, Springer, vol. 47(3), pages 906-935, June.
    8. Chang, Shu-Hao, 2017. "The technology networks and development trends of university-industry collaborative patents," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 107-113.
    9. Shutter Zor & Jingru Chen & Jietie Ailimujiang & Fayao Wang, 2023. "Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency," Review of Economic Assessment, Anser Press, vol. 2(1), pages 25-39, April.
    10. Munan Li, 2015. "A novel three-dimension perspective to explore technology evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1679-1697, December.
    11. Eun Han & So Sohn, 2015. "Patent valuation based on text mining and survival analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 821-839, October.
    12. Kyungtae Kim & Sungjoo Lee, 2018. "How Can Big Data Complement Expert Analysis? A Value Chain Case Study," Sustainability, MDPI, vol. 10(3), pages 1-21, March.
    13. Junseok Lee & Ji-Ho Kang & Sunghae Jun & Hyunwoong Lim & Dongsik Jang & Sangsung Park, 2018. "Ensemble Modeling for Sustainable Technology Transfer," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    14. Jinhyo Joseph Yun & EuiSeob Jeong & YoungKyu Lee & KyungHun Kim, 2018. "The Effect of Open Innovation on Technology Value and Technology Transfer: A Comparative Analysis of the Automotive, Robotics, and Aviation Industries of Korea," Sustainability, MDPI, vol. 10(7), pages 1-16, July.

    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. Conti, C. & Mancusi, M.L. & Sanna-Randaccio, F. & Sestini, R. & Verdolini, E., 2018. "Transition towards a green economy in Europe: Innovation and knowledge integration in the renewable energy sector," Research Policy, Elsevier, vol. 47(10), pages 1996-2009.
    2. 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.
    3. Estolatan, Eric & Geuna, Aldo, 2019. "Looking forward via the Past: An Investigation of the Evolution of the Knowledge Base of Robotics Firms," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201904, University of Turin.
    4. 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.
    5. Pontus Braunerhjelm & Roger Svensson, 2024. "Inventions, commercialization strategies, and knowledge spillovers in SMEs," Small Business Economics, Springer, vol. 63(1), pages 275-297, June.
    6. Carlo Giglio & Roberto Sbragia & Roberto Musmanno & Roberto Palmieri, 2021. "Cross-country learning from patents: an analysis of citations flows in innovation trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7917-7936, September.
    7. Carlo Giglio & Gianluca Salvatore Vocaturo & Roberto Palmieri, 2023. "Patent Acquisitions in the Healthcare Industry: An Analysis of Learning Mechanisms," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    8. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    9. Hu, Albert Guangzhou, 2009. "The Regionalization of Knowledge Flows in East Asia: Evidence from Patent Citations Data," World Development, Elsevier, vol. 37(9), pages 1465-1477, September.
    10. Yu-tao Sun & Feng-chao Liu, 2013. "Measuring international trade-related technology spillover: a composite approach of network analysis and information theory," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 963-979, March.
    11. Shiu-Wan Hung & An-Pang Wang, 2010. "Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 121-134, January.
    12. Zhang, Feng & Jiang, Guohua & Cantwell, John A., 2015. "Subsidiary exploration and the innovative performance of large multinational corporations," International Business Review, Elsevier, vol. 24(2), pages 224-234.
    13. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    14. Emanuele Bacchiocchi & Fabio Montobbio, 2010. "International Knowledge Diffusion and Home‐bias Effect: Do USPTO and EPO Patent Citations Tell the Same Story?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 441-470, September.
    15. Joaquín M. Azagra-Caro, 2012. "Access to universities’ public knowledge: who’s more nationalist?," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 671-691, June.
    16. Hu, Mei-Chih & Mathews, John A., 2005. "National innovative capacity in East Asia," Research Policy, Elsevier, vol. 34(9), pages 1322-1349, November.
    17. Mei-Chih Hu, 2011. "Evolution of knowledge creation and diffusion: the revisit of Taiwan’s Hsinchu Science Park," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 949-977, September.
    18. Show-Ling Jang & Shihmin Lo & Wen Hao Chang, 2009. "How do latecomers catch up with forerunners? Analysis of patents and patent citations in the field of flat panel display technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 563-591, June.
    19. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    20. Inkyung Cho & Jungkyu Park & Eunnyeong Heo, 2018. "Measuring Knowledge Diffusion in Water Resources Research and Development: The Case of Korea," Sustainability, MDPI, vol. 10(8), pages 1-15, August.

    More about this item

    Keywords

    R&D efficiency; R&D planning; Multi-technology; Patent citation analysis; Aerospace industry; Korea; O21; O32; O33;
    All these keywords.

    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:kap:jtecht:v:37:y:2012:i:3:p:355-374. 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.