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Identifying potential users of technology for technology transfer using patent citation analysis: a case analysis of a Korean research institute

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  • Tae-Young Park

    (Hanyang University)

  • Hyungjoo Lim

    (Korea University of Technology and Education)

  • Ilyong Ji

    (Korea University of Technology and Education)

Abstract

The purpose of this study is to examine whether patent citation analysis can be used for making decisions of technology transfer. More precisely, the authors of this paper are interested in the matter of identifying potential users of technology by patent citation analysis. Previous research relied on patents’ keywords, and as a consequence it was difficult to implement in practice where organizations retain huge number of patents to transfer. In this study, we attempt to use IPCs instead of keywords. Our approach is to identify dominant IPC and sub-classes of an organization by applying co-classification analysis, and explore firms that cited the patents in the dominant IPC. Our view is that the organizations explored in this process can be potential users of technology. To verify our view, we examined the patents and technology transfer cases of two divisions in K Research Institute in Korea. The results show that our view was right only for a limited field. We suppose that the reasons may stem from technological characteristics and firm size effect. Therefore, we suggest that there should be further research considering technological characteristics and firm size.

Suggested Citation

  • Tae-Young Park & Hyungjoo Lim & Ilyong Ji, 2018. "Identifying potential users of technology for technology transfer using patent citation analysis: a case analysis of a Korean research institute," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1541-1558, September.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2792-9
    DOI: 10.1007/s11192-018-2792-9
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    Cited by:

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    2. Won Jun Choe & Ilyong Ji, 2019. "The Performance of Supply-Push Versus Demand-Pull Technology Transfer and the Role of Technology Marketing Strategies: The Case of a Korean Public Research Institute," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    3. Lian, Xiangpeng & Guo, Ying & Su, Jun, 2021. "Technology stocks: A study on the characteristics that help transfer public research to industry," Research Policy, Elsevier, vol. 50(10).
    4. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    5. Shu-Hao Chang, 2022. "Examining Key Technologies Among Academic Patents Through an Analysis of Standard-Essential Patents," SAGE Open, , vol. 12(3), pages 21582440221, July.
    6. Aaldering, Lukas Jan & Song, Chie Hoon, 2021. "Of leaders and laggards - Towards digitalization of the process industries," Technovation, Elsevier, vol. 105(C).
    7. Haoyang Song & Jianhua Hou & Yang Zhang, 2022. "Patent protection: does it promote or inhibit the patented technological knowledge diffusion?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2351-2379, May.

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    More about this item

    Keywords

    Technology transfer; Patent citation; Co-classification; Path-dependence; Potential user;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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