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Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries

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  • Han, Yoo-Jin
  • Park, Yongtae

Abstract

Based on the notion of the national innovation system (NIS), this paper proposes an exploratory method of measuring inter-industrial knowledge flows. The proposed measures are based on patent analysis and input-output analysis. By employing the Korean case, the knowledge measures are gauged and the knowledge network is visualized. For both disembodied and embodied knowledge, the densities of the knowledge network have steadily increased over time and the knowledge linkage between the traditional sector and the emerging sector has become more active, along with the evolutionary advancement of industrial structure. However, the knowledge network is still incomplete in that some weak ties and missing links exist. Although the Korean case may not be generally applicable due to national idiosyncrasies, the proposed framework provides a useful tool for measuring knowledge stock and flows at sectoral or industrial level.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:worpat:v:28:y:2006:i:3:p:235-247
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    3. Sungchul Choi & Hyunseok Park, 2016. "Investigation of Strategic Changes Using Patent Co-Inventor Network Analysis: The Case of Samsung Electronics," Sustainability, MDPI, Open Access Journal, vol. 8(12), pages 1-13, December.
    4. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
    5. repec:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-012-0635-7 is not listed on IDEAS
    6. Ju, Yonghan & Sohn, So Young, 2015. "Patent-based QFD framework development for identification of emerging technologies and related business models: A case of robot technology in Korea," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 44-64.
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    8. repec:wsi:ijitmx:v:14:y:2017:i:01:n:s0219877017400041 is not listed on IDEAS
    9. Choe, Hochull & Lee, Duk Hee & Kim, Hee Dae & Seo, Il Won, 2016. "Structural properties and inter-organizational knowledge flows of patent citation network: The case of organic solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 361-370.
    10. Lee, Won Sang & Han, Eun Jin & Sohn, So Young, 2015. "Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 317-329.
    11. repec:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2329-7 is not listed on IDEAS
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    14. Giuditta De Prato & Daniel Nepelski, 2012. "Global R&D network. A network analysis of international R&D centres," JRC Working Papers JRC79478, Joint Research Centre (Seville site), revised Nov 2012.
    15. repec:wsi:ijitmx:v:14:y:2017:i:01:n:s0219877017400028 is not listed on IDEAS
    16. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.

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