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On the benchmarking method of patent-based knowledge flow structure: Comparison of Korea and Taiwan with USA

Author

Listed:
  • Juneseuk Shin

    (Department of Industrial Engineering, Seoul National University)

  • Wook Lee

    (Department of Industrial Engineering, Seoul National University)

  • Yongtae Park

    (Department of Industrial Engineering, Seoul National University)

Abstract

Summary This paper suggests an international benchmarking method of disembodied knowledge flow structure. Using patent citation as a proxy measure of disembodied knowledge flow, national knowledge network is developed. Structural equivalence measure is applied to comparing the knowledge network of Korea and Taiwan with that of USA. Static and dynamic comparison make it possible to benchmark disembodied knowledge flow structure efficiently and identify convergent and divergent industries between developing countries and USA. It is also a meso-study that could be conducive to building a comprehensive analytical framework of national innovation system.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:69:y:2006:i:3:d:10.1007_s11192-006-0169-y
    DOI: 10.1007/s11192-006-0169-y
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    Citations

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    Cited by:

    1. Hyojeong Lim & Yongtae Park, 2010. "Identification of technological knowledge intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 543-561, September.
    2. 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.
    3. 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.
    4. Hyukjoon Kim & Yongtae Park, 2008. "The impact of R&D collaboration on innovative performance in Korea: A Bayesian network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 535-554, June.

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