디지털융복합연구 (Journal of Digital Convergence)

  • 제12권5호
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  • Pages.115-123
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  • 2014
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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특허정보를 이용한 경쟁기업의 기술역량 분석: 이동통신 기술개발 기업을 중심으로

Technological Capability Analysis of Competitor Using Patent Information: Focused on Mobile Communication Technology development companies

  • 최승욱 (한성대학교 지식서비스&컨설팅학과) ;
  • 이창원 (한성대학교 행정학과) ;
  • 유연우 (한성대학교 지식서비스&컨설팅학과)
  • Choi, Seung-Wook (Dept. Of Knowledge Service & Consulting, Hansung University) ;
  • Lee, Chang-Won (Dept. Of Public Administration, Hansung University) ;
  • You, Yen-Yoo (Dept. Of Knowledge Service & Consulting, Hansung University)
  • 투고 : 2014.03.21
  • 심사 : 2014.05.20
  • 발행 : 2014.05.28
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초록

차세대 이동통신 관련 경쟁기업의 기술적 역량분석을 위해 특허정보 분석을 실시하였다. 특허정보의 분석방법으로는 출원인 분석, 기술분류 분석, 지표분석 등 여러 분석방법을 활용하였다. 경쟁기업의 기술적 역량분석 1단계로 특허활동도(Patent Activity:PA)가 높은 출원인을 선별하였고, 2단계로 기술자립도(Technological Independence:TI)가 높은 기술분류를 선별하였다. 그리고 1단계와 2단계 결과를 매칭하여 특허활동도가 높은 주요 출원인 중에서 기술자립도가 높은 기술분류에 대한 포트폴리오를 작성하였다. 이와 같은 과정을 통해 경쟁기업간에 집중적으로 연구되고 있는 중요 기술 포트폴리오를 분석할 수 있다. 이 분석 결과는 기업의 R&D계획, 특허전략 수립 등 전략적 R&D 관리 수행을 돕는 역할을 할 것이다.

Patent information analysis has been carried out for technological capability analysis of competitors relating to next generation mobile communication. Various analysis methods, such as applicant analysis, technology classification analysis, indicator analysis and the like have been utilized as a method of analyzing patent information. As a first step for the technological capability analysis of competitors, applicants having high patent activity(PA) were selected, and as a second step therefor, technology classifications showing high technological independence (TI) were selected. Furthermore, portfolios for technology classifications showing high technological independence in the patents of main applicants having high patent activity by matching results the first and second steps together were prepared. Through such a process, portfolios for important technologies which have been concentrically researched by competitors could be analyzed. Accordingly, the present analysis results will help to carry out strategic R&D management, such as the establishment of company R&D plans and patent strategies.

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참고문헌

  1. BAGLIERI, Daniela; CESARONI, Fabrizio. Capturing the real value of patent analysis for R&D strategies. Technology Analysis & Strategic Management, 25.8: 971-986, 2013. https://doi.org/10.1080/09537325.2013.823149
  2. CHIU, Yu-Jing; CHEN, Yuh-Wen. Using AHP in patent valuation. Mathematical and Computer Modelling, 46.7: 1054-1062, 2007. https://doi.org/10.1016/j.mcm.2007.03.009
  3. Daim T. U., Rueda G., Martin H., Gerdsri P, Forecasting emerging technologies: use of bibliometrics and patent analysis. Technological Forecasting and Social Change, 73(8): 981-1012, 2006. https://doi.org/10.1016/j.techfore.2006.04.004
  4. Dernis, H., Khan M. Triadic patent families methodology. OECD Publishing, 2004.
  5. ERDI, Peter, et al. Prediction of emerging technologies based on analysis of the US patent citation network. Scientometrics, 1-18, 2013.
  6. ERNST, Holger. Patent information for strategic technology management. World Patent Information, 25.3: 233-242, 2003. https://doi.org/10.1016/S0172-2190(03)00077-2
  7. ERNST, Holger. Patent portfolios for strategic R&D planning. Journal of Engineering and Technology Management, 15.4: 279-308, 1998. https://doi.org/10.1016/S0923-4748(98)00018-6
  8. GAO, Lidan, et al. Technology life cycle analysis method based on patent documents. Technological Forecasting and Social Change, 2012.
  9. KIAT. Industrial technology roadmap 2011-next generation mobile communication, KIAT, 2012.
  10. KIPI, Patent analysis methodology for making of technology roadmap. Korea Institute of Patent Information, 2005.
  11. KIPO, Development of Indicators for IP Competitiveness and Characteristics, KIPO /KIIP, 2012.
  12. NARIN, Francis. Tech-line background paper. CHI Research, Inc., Haddon Heights, NJ, downloadable at www.chiresearch. com, 2000.
  13. SHIH, Meng-Jung; LIU, Duen-Ren; HSU, Ming-Li. Discovering competitive intelligence by mining changes in patent trends. Expert Systems with Applications, 37.4: 2882-2890, 2010. https://doi.org/10.1016/j.eswa.2009.09.001
  14. TRAPPEY, Amy JC, et al. A patent quality analysis for innovative technology and product development. Advanced Engineering Informatics, 26.1: 26-34, 2012. https://doi.org/10.1016/j.aei.2011.06.005
  15. Tseng Fang-mei, HSIEH Chih-hung, PENG Ya-ni, CHU Yi-wei. Using patent data to analyze trends and the technological strategies of the amorphous silicon thin-film solar cell industry. Technological Forecasting and Social Change, 78(2): 332-345, 2011. https://doi.org/10.1016/j.techfore.2010.10.010
  16. WILSON, R. M. Patent analysis using online databases-I. Technological trend analysis. World Patent Information, 9.1: 18-26, 1987. https://doi.org/10.1016/0172-2190(87)90189-X
  17. XU, G. Gann. Information for corporate IP management. World Patent Information, 26.2: 149-156, 2004. https://doi.org/10.1016/j.wpi.2003.12.002
  18. ZHENG, Jia, et al. Influences of counting methods on country rankings: a perspective from patent analysis. Scientometrics, 1-16, 2013.