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The Analysis Methods Based on Patent Citation Networks for the Convergence Technologies Development Planning : A Case of Smart Factory's ICT Technologies

융합기술 개발전략 기획을 위한 특허 인용 네트워크 기반의 분석 방법론 : 스마트공장 ICT 기술을 중심으로

  • Lee, Hyun-Min (Next Grow Engine R&D Coordination Center, Korea Institute of S&T Evaluation and Planning) ;
  • Kim, Sun-Jae (Next Grow Engine R&D Coordination Center, Korea Institute of S&T Evaluation and Planning) ;
  • Kim, Hong-Young (Next Grow Engine R&D Coordination Center, Korea Institute of S&T Evaluation and Planning)
  • 이현민 (한국과학기술기획평가원 성장동력센터) ;
  • 김선재 (한국과학기술기획평가원 성장동력센터) ;
  • 김홍영 (한국과학기술기획평가원 성장동력센터)
  • Received : 2017.09.29
  • Accepted : 2018.01.05
  • Published : 2018.01.31

Abstract

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

융합기술 개발에 대한 선진국들의 관심이 고조되는 가운데 우리나라의 융합기술 분야의 경쟁력 강화를 위한 전략적 기술개발의 접근으로, 기술 및 산업분야에 미치는 후생적 파급효과가 큰 핵심융합기술을 발굴할 수 있는 방법론이 요구된다. 본 연구에서는 특허의 기술융합수준을 후생적으로 타기술분야들을 연계하는 파급효과 수준으로 정의하고, 스마트공장의 ICT 융합기술 분야 1,124개 미국출원특허를 이용한 특허 인용 네트워크 분석을 통하여, IPC 기술분야 네트워크로부터 산출한 IPC 기술분야 매개중심성 지수를 이용하여 해당 특허의 기술융합수준을 측정하는 이종분야 기술융합지수를 소개하였다. 본 연구에서 제안한 이종분야 기술융합지수와 중재자역할 지표와의 상관관계를 분석한 결과, 다른 지수들 (타분야비율지수 및 동종분야 기술융합지수) 대비 이종분야 기술융합지수가 후생적으로 다른 기술분야들을 연계하는 파급효과 차원의 융합특성을 측정하는 지수임이 확인되었다. 제안한 이종분야 기술융합지수를 이용하여 정부부처에서 제시한 스마트공장의 주요 ICT기술 전략분야들 중 핵심 ICT 융합기술분야들을 분석한 결과, '제조실행분석 애플리케이션'을 포함한 6개의 핵심 ICT융합 기술분야들을 도출하였다. 추가로 '제조실행분석 애플리케이션'에 속한 특허들의 IPC들을 대상으로 블록모델링 분석한 결과, '전자통신기술'과 '전자 디지털데이터 처리기술'로 대표되는 블록들(블록 3&4)이 핵심기술과 융합 가능한 관련 기술분야임을 확인하였다. 본 연구의 결과에 근거하여 스마트공장의 융합기술 개발방안에 대한 정책적 시사점을 제공하였다.

Keywords

References

  1. Ministry of Trade, Industy & Energy, and Ministry of Science, ICT and Future Planning, Smart Manufacturing R&D Roadmap for Promoting Manufacturing Industry Innovation, 2015.
  2. H.J. Kang, M.J. Um, and D.M. Kim, "A Study on Forecast of the Promising Fusion Technology by US Patent Analysis", Journal of Technology Innovation, vol. 14, no. 3, pp. 93-116, 2006.
  3. M.S. Seok, B.H. Jo, and I.Y. Ji, "An Application of Patent Citation Network Analysis for Technology Marketing: A Case of a Public Research Institute", Journal of the Korea Academia-Industrial cooperation Society, vol. 16, no. 5, pp. 3210-3219, 2015. DOI: https://doi.org/10.5762/KAIS.2015.16.5.3210
  4. N. Rosenberg, "Technological Change in the Machine Tool Industry, 1840-1910", Journal of Economic History, vol. 23, no. 4, pp. 414-446, 1963. DOI: https://doi.org/10.1017/S0022050700109155
  5. F. Kodama, "Technology Fusion and the New R&D", Harvard Business Review, vol. 70, no. 4, pp. 70-78, 1992.
  6. J.M. Pennings and P. Puranam, "Market Convergence & Firm Strategy: New Directions for Theory and Research", ECIS Conference, The Future of Innovation Studies, Eindhoven, Netherlands, 2001.
  7. F. Hacklin, C. Marxt, and F. Fahrni, "Coevolutionary Cycles of Convergence: An Extrapolation from the ICT Industry", Technological Forecasting and Social Change, vol. 76, no. 6, pp. 723-736, 2009. DOI: https://doi.org/10.1016/j.techfore.2009.03.003
  8. C.S. Curran, and J. Leker, "Patent Indicators for Monitoring Convergence-Examples from NFF and ICT", Technological Forecasting and Social Change, vol. 78, no. 2, pp. 256-273, 2011. DOI: https://doi.org/10.1016/j.techfore.2010.06.021
  9. D.Y. Hwang, Y.I. Kim, and B.M. Lee, "A Study on the Classification for Technology Convergence according to Characteristics", Journal of Korea Technology Innovation Society, vol. 11, no. 4, pp. 592-612, 2008.
  10. H.Y Kim and S.Y. Chung, "An Analysis on the Research Network Structure of Convergence Technologies," Journal of Korea Technology Innovation Society, vol. 18, no. 4, pp. 693-718, 2015.
  11. Y. Geum, C. Kim, S. Lee, and M.S. Kim, "Technological Convergence of IT and BT: Evidence from Patent Analysis," Etri Journal, vol. 34, no. 3, pp. 439-449, 2012. DOI: https://doi.org/10.4218/etrij.12.1711.0010
  12. R.J.W. Tijssen, A Quantitative Assessment of Interdisciplinary Structures in Science and Technology: Co-classification Analysis of Energy Research", Research Policy, vol. 21, no. 1, pp. 27-44, 1992. DOI: https://doi.org/10.1016/0048-7333(92)90025-Y
  13. W. Xing, X. Ye, and L.Kui, "Measuring Convergence of China's ICT Industry: an Input-Output Analysis", Telecommunications Policy, vol. 35, no. 4), pp. 301-313, 2011. https://doi.org/10.1016/j.telpol.2011.02.003
  14. J.E. Kim and S.j. Lee, "A Methodology to Evaluate Industry Convergence Using the Patent Information : Technology Relationship analysis", Journal of the Korean Institute of Industrial Engineers, vol. 39, no. 3, pp. 212-221, 2013. DOI: https://doi.org/10.7232/JKIIE.2013.39.3.212
  15. S.H. Joo and Y. Kim, "Measuring Relatedness between Technological Fields", Scientometrics, vol. 83, no. 2, pp. 435-454, 201. https://doi.org/10.1007/s11192-009-0108-9
  16. F. Fai and V.N. Tunzelmann, "Industry-Specific Competencies and Converging Technological Systems : Evidences from Patents", Structural Change and Economic Dynamics, vol. 12, no. 2, pp. 141-171, 2001. DOI: https://doi.org/10.1016/S0954-349X(00)00035-7
  17. H.J. No and Y.T. Park. "Trajectory Patterns of Technology Fusion: Trend Analysis and Taxonomical Grouping in Nanobiotechnology." Technological Forecasting and Social Change, vol. 77, no. 1, pp. 63-75, 2010. DOI: https://doi.org/10.1016/j.techfore.2009.06.006
  18. S. Yoo, Y. Lee, and D. Won, "A Study on Estimation of Technology Life Span Using Analysis of Patent Citation", Journal of the Korean Operations Research and Management Science Society, vol. 31, no. 4, pp. 1-11, 2006.
  19. E.C. Engelsman and A.F. van Raan, "A Patent-Based Cartography of Technology", Research Policy, vol. 23, no. 1, pp. 1-26, 1994. DOI: https://doi.org/10.1016/0048-7333(94)90024-8
  20. T.S. Cho and H.Y. Shih, "Patent Citation Network Analysis of Core and Emerging Technologies in Taiwan: 1997-2008", Scientometrics, vol. 89, no. 3, pp. 795-811, 2011. DOI: https://doi.org/10.1007/s11192-011-0457-z
  21. J.E. Heo and C.H. Yang, "Applying Network Analysis in Convergent Research Relationships: The Case of High-Tech Convergence Technology Development Program", Journal of Korea Technology Innovation Society, vol. 16, no. 4, pp. 883-912, 2013.
  22. M. Karvonen and T. Kassi, "Patent Citations as a Tool for Analysing the Early Stages of Convergence", Technological Forecasting and Social Change, vol. 80, no. 6, pp. 1094-1107, 2013. DOI: https://doi.org/10.1016/j.techfore.2012.05.006
  23. Y.R. Cho and E.S. Kim, "A Corporate Strategy on Technological Convergence through Analyzing Patent Networks and Strategic Indicators", The Journal of Intellectual Property, vol. 9, no. 4, pp. 191-221, 2014.
  24. D.H. Lee, I.W. Seo, H.C. Choe, and H.D. Kim, "Collaboration Network Patterns and Research Performance: The Case of Korean Public Research Institutions", Scientometrics, vol. 91, no. 3, pp. 925-942, 2012. DOI: https://doi.org/10.1007/s11192-011-0602-8
  25. R.V. Gould and R.M. Fernandez, "Structures of Mediation: A Formal approach to Brokerage in Transaction Networks", Sociological Methodology, vol. 19, pp. 89-126, 1989. DOI: https://doi.org/10.2307/270949
  26. J.P. Scott, Social Network Analysis: A Handbook, Thousand Oaks: Sage Publications, 1991.
  27. Y.H. Kim, Social Netowrk Analysis, Parkyoung-sa, 2003.
  28. L.C. Freeman, "Centrality in Social Networks: Conceptual Clarification", Social Networks, vol. 1, no. 3, pp. 215-239, 1979. DOI: https://doi.org/10.1016/0378-8733(78)90021-7
  29. H.Y. Kim, S.J. Kim, J.H Lee, N.H. Cho, J.Y. Lee, and J.H. Park, Study on a Governmnet's R&D Strategy for a Smart Manufacturing Industry, Korea Institute of S&T Evaluation and Planning, 2017.