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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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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.

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Notes

  1. In addition, patent class systems such as IPCs and CPCs are already established technology classifications. We believe utilizing IPCs have some advantages over text- or keyword-based analyses (as well as disadvantages) such as simpler procedures and more systematic understanding of technologies.

References

  • Agrawal, A., & Henderson, R. (2002). Putting patents in context: Exploring knowledge transfer from MIT. Management Science, 48(1), 44–60.

    Article  Google Scholar 

  • Alcacer, J., & Gittelman, M. (2006). Patent citations as a measure of knowledge flows: The influence of examiner citations. The Review of Economics and Statistics., 88(4), 774–779.

    Article  Google Scholar 

  • Almeida, P. (1996). Knowledge sourcing by foreign multinationals: Patent citation analysis in the U.S. semiconductor industry. Strategic Management Journal, 17, 155–165.

    Article  Google Scholar 

  • Arora, A., & Fosfuri, A. (2003). Licensing the market for technology. Journal of Economic Behavior & Organization, 52, 277–295.

    Article  Google Scholar 

  • Arora, Ashish, Fosfuri, A., & Gambarcella, A. (2001). Markets for technology and their implications for corporate strategy. Industrial and Corporate Change, 10(2), 419–451.

    Article  Google Scholar 

  • Arora, A., & Gambardella, A. (2010). Ideas for rent: An overview of markets for technology. Industrial and Corporate Change, 19(3), 775–803.

    Article  Google Scholar 

  • Blackwell, D. R., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior. Boston: Harcount.

    Google Scholar 

  • Breschi, S., & Catalini, C. (2010). Tracing the links between science and technology: An exploraroty analysis of scientists and inventors networks. Research Policy, 39(1), 14–26.

    Article  Google Scholar 

  • Dosi, G. (1982). Technological paradigms and technological trajectories: a suggested interpretation of the determinants and directions of technical change. Research Policy, 11(3), 147–162.

    Article  Google Scholar 

  • Gambardella, A., & Giarratan, M. S. (2009). General technological capabilities, product market fragmentation, and markets for technology. Research Policy, 42(4), 315–325.

    Google Scholar 

  • Hall, B. H., & Helmers, C. (2013). Innovation and diffusion of clean/green technology: Can patent commons help? Journal of Environmental Economics and Management, 66, 33–51.

    Article  Google Scholar 

  • Johnson, D. K. N. (2002). The OECD technology concordance, patents by industry of manufacturer and sector of uses, OECD STI Working Paper.

  • JOINS (2013). The R&D productivity of Government funded research institute stagnates at 2.9%, JOINS, 17 July 2013. http://news.joins.com/article/12092504.

  • Jürgens, B., & Clarke, N. (2018). Study and comparison of the unique selling propositions (USPs) of free-to-use multinational patent search systems. World Patent Information, 52, 9–16.

    Article  Google Scholar 

  • Kani, M., & Motohashi, K. (2012). Understanding the technology market for patent: New insights from licensing survey of Japanese firms. Research Policy, 41(1), 226–235.

    Article  Google Scholar 

  • KIBO. (2014). Vitalizing technology transfer via technology financing. Seoul: Korea technology finance corporation.

  • Kim, Y. (2009). Choosing between international technology licensing partners: An empirical analysis of U.S. biotechnology firms. Journal of Engineering and Technology Management, 26, 57–72.

    Article  Google Scholar 

  • Kotler, P., & Keller, K. L. (2006). Marketing management (12th ed.). London: Pearson education.

    Google Scholar 

  • Kum, Y.-S., & Ko, Y.-J. (2011). A study on the diffusion of R&D performance for strengthening global competitiveness through patent analysis. The Journal of Intellectual Property, 6(2), 191–229.

    Google Scholar 

  • Lee, S.-J., et al. (2013). Identifying promising IT products for SMEs under the concept of business ecosystem. Journal of the Korean Institute of Industrial Engineers, 39(1), 61–72.

    Article  Google Scholar 

  • Lichtenthaler, U. (2010). Technology exploitation in the context of open innovation: Finding the right ‘job’ for your technology. Technovation, 30, 429–435.

    Article  Google Scholar 

  • Mahajan, V., Muller, E., & Kerin, R. (1984). Introducing strategies for new products with positive and negative word-of-mouth. Management Science, 30(12), 1389–1404.

    Article  MATH  Google Scholar 

  • Mohamed, A. S. I., Azizan, N. B., & Jali, M. Z. (2013). The impact of trust and past experience on intention to purchase in E-Commerce. International Journal of Engineering Research and Development., 7(10), 28–35.

    Google Scholar 

  • MSIP & KISTEP. (2016). Major South Korean science and technology indicators at a glance. Ministry of Science: IT and Future Planning & KISTEP.

    Google Scholar 

  • Nelson, R. R., & Winter, S. (1977). In search for a useful theofy of innovation. Research Policy, 6(1), 36–76.

    Article  Google Scholar 

  • Sanditov, B. (2005). Patent citations, the value of innovations and path-dependency, CESPRI working paper No. 177. Milano.

  • Schacht, W. H. (2007). Technology transfer: Use of federally funded research and development, congressional research service.

  • Schmoch, U., Laville, F., Patel, P., Frietsch, R. (2003). Linking technology areas to industrial sectors: Final report to the European commission, DG Research, Karlsruhe, Paris.

  • Seo, I., et al. (2011). Exploring potential users of technology using semantic network analysis. Journal of Technology Innovation, 21(1), 279–301.

    Google Scholar 

  • Seok, M. S., et al. (2015). An application of patent citation network analysis for technology marketing: A case of a public research institute. Journal of the Korean Academia-Industrial Cooperation Society., 16(5), 3210–3219.

    Article  Google Scholar 

  • Teece, D. J. (1986). Profiting from technological innovation. Research Policy, 15(6), 285–305.

    Article  Google Scholar 

  • Wu, P. C. S., Yeh, G. Y.-Y., & Hsiao, C.-R. (2011). The effect of store image and service quality on brand image and purchase intention for private label brands. Australasian Marketing Journal, 19, 30–39.

    Article  Google Scholar 

  • Yang, D.-W., & Kim, S.-J. (2008). The study on tech transfer problems of R&D institutions. Korean Journal of Business Administration, 21(1), 205–227.

    MathSciNet  Google Scholar 

Download references

Acknowledgements

Funding was provided by Ministry of Science, ICT and Future Planning (2017K000455) and National Research Foundation of Korea (NRF-2014S1A5B8061859).

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Correspondence to Ilyong Ji.

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Park, TY., Lim, H. & Ji, I. Identifying potential users of technology for technology transfer using patent citation analysis: a case analysis of a Korean research institute. Scientometrics 116, 1541–1558 (2018). https://doi.org/10.1007/s11192-018-2792-9

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