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Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector

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  • Park, Jongyong
  • Lee, Hakyeon
  • Park, Yongtae

Abstract

Understanding inter-industrial knowledge flows lays the foundation for building knowledge clusters and designing a national innovation system (NIS). The types of knowledge measured can be distinguished as embodied knowledge flow and disembodied knowledge flow. Embodied knowledge flow takes place through the purchase of machinery, equipment, and components that incorporate new technologies; disembodied knowledge flow is the process whereby knowledge is disseminated through human mobility and research spillovers. Previous attempts to identify industrial clusters have mainly focused on the embodied knowledge flow.

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  • 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.
    • Handle: RePEc:eee:teinso:v:31:y:2009:i:1:p:73-84
    DOI: 10.1016/j.techsoc.2008.10.011
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    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. 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. 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.
    5. 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.
    6. Mingook Lee & Sungjoo Lee, 2016. "Evaluating Internal Technological Capabilities in Energy Companies," Energies, MDPI, vol. 9(3), pages 1-23, March.
    7. Xiyao Xiang & Wei-Chiao Huang, 2019. "Does Distance Affect the Role of Nonlocal Subsidiaries on Cluster Firms’ Innovation? An Empirical Investigation on Chinese Biotechnology Cluster Firms," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    8. 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.
    9. Yuan Chen & Seok Swoo Cho, 2024. "Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis," Sustainability, MDPI, vol. 16(17), pages 1-27, September.
    10. Wai, Sebastian, 2023. "Inventor mobility and spillovers in the early semiconductor industry," Technology in Society, Elsevier, vol. 75(C).
    11. 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.

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