DOI QR코드

DOI QR Code

Identifying Emerging Free Technologies by PCT Patent Analysis

PCT특허분석을 통한 유망자유기술 탐색에 관한 연구

  • Received : 2013.11.18
  • Accepted : 2014.01.13
  • Published : 2014.01.31

Abstract

This paper proposes a new strategy for assisting SMEs in S. Korea to grow by the use of free technologies, which include expired patents, patents that are effective in other countries but not in S. Korea, and technologies that were published without being patented. A key question answered in this paper is how to find valuable technologies developed by large companies that can be utilized by domestic SMEs. A procedure for identifying emerging free technologies was developed and is explained with an example. A quantitative analysis of technology trend was conducted on PCT's published patents that did not include S. Korea as a designated country, and then emerging IPC subclasses were identified. Among those emerging technology areas, the subclass areas where the number of Korean inventors is small were identified as key emerging free technology areas. Our method for identifying emerging free technologies can assist domestic SMEs to advance in the international market and guide the development of a national industrial strategy.

중소기업은 창조경제의 중추적 역할을 담당하는 핵심 성장 동력원으로서 중요한 위치를 차지함에도 불구하고 중소기업의 현실은 희망이 없다. 중소기업의 혁신을 통한 중장기적 성장전략을 제시하고자 유망자유기술 탐색방법을 제안하고, 2006년부터 2010년까지 PCT 출원되어 공개된 특허를 조사하여 기술동향을 정량 분석한 다음, LED품목을 사례로 들어 PCT 및 국내 특허정보를 분석하고, 미래 유망 자유기술을 탐색하였다. 제시된 자유기술탐색 방법은 중소기업의 국제시장 진출 방향 설정 및 국가산업 전략의 수립에도 활용이 가능할 것이다.

Keywords

References

  1. H.-S. Yoo, J.-H. Kim, S.-P. Jun, J. Seo, and J.-Y. Yoo, "Study on the Selection Method of the Focused Supporting Industries for the Maximization of SMEs' Technological Innovation," J. of Korea technology innovation society, vol. 16, no. 1, Mar., 2013, pp. 41-62.
  2. S.-Y. Lee and H.-J. Yoon, "Korea's Global Science & Technology(S&T) Agenda - A study on Internationalization of Industrial R&D for Korean SME," J. of the Korea Institute of Electronic Communication Sciences, vol. 7, no. 4, 2012, pp. 693-705.
  3. Y. Koo, Y. Kwon and D. Jeong, "LED Knowledge Map through Competition Analysis based on Intellectual Property," J. of the Korean institute of electronic communication sciences, vol. 8, no. 1, 2013, pp. 7-12. https://doi.org/10.13067/JKIECS.2013.8.1.007
  4. Y. Koo, D. Jeong, and Y. Kwon, "Analysis of Technology of Green IT fields using patent information," J. of the Korean institute of electronic communication sciences, vol. 8, no. 2, pp. 249-253, 2013. https://doi.org/10.13067/JKIECS.2013.8.2.249
  5. E. Jeong, S. Lee, I. Lee, Y. Kim, and B. Ku, "SMEs creation growth strategy using free technology," KISTI press, 2013, pp. 85.
  6. T. Braun, A. Schubert, and S. Zsindely, "Nanoscience and Nanotechnology on the Balance," Scientometrics, vol. 38, no. 2, 1997, pp. 321-325. https://doi.org/10.1007/BF02457417
  7. W. Lee, "How to Identify Emerging Research Fields using Scientometrics: An Example in the Field of Information Security," Scientometrics, vol. 76, no. 3, 2008, pp. 1588-2861.
  8. Y. Takeda, and Y. Kajikawa, "Optics: A Bibliometric Approach to Detect Emerging Research Domains and Intellectual Bases," Scientometrics, vol. 78, no. 3, 2009, pp. 543-558. https://doi.org/10.1007/s11192-007-2012-5
  9. A. Serenko, N. Bontis, L. Booker, K. Sadeddin and T. Hardie, "A Scientometric Analysis of Knowledge Management and Intellectual Capital Academic Literature (1994-2008)," J. of Knowledge Management, vol. 14, No. 1, 2010, pp. 3-23. https://doi.org/10.1108/13673271011015534
  10. A. F. J. Van Raan, "On Growth, Aging, and Fractal Differentiation of Science," Scientometrics, vol. 47, no. 2, 2000, pp. 1588-2861.
  11. J. Gam, S. Park, Y. Shin, D. Jang, and H. Chung, "A Study on the Promising Future Biotechnology," J. of Korea technology innovation society, vol. 15, no. 2, 2012, pp. 345-368.
  12. S.-H. Jeon, "Forecasting Vacant Technology of Patent Analysis System using Self Organizing Map and Matrix Analysis," J. of the Korea Contents Association, vol. 10, no. 2, 2010, pp. 462-480. https://doi.org/10.5392/JKCA.2010.10.2.462
  13. K. Lee, Y. Song, W. Han, and S. Lee, "Emerging Technologies in Mobile Communications for 2020," J. of the Korea Information and Communications Society, vol. 38A, no. 1, 2013, pp. 108-126. https://doi.org/10.7840/kics.2013.38A.1.108
  14. J. Kim, M. Hwang, D. Jeong, M. Cho, S. Kim, and H. Jung, "Emerging Agents Discovery Model based on Big Data Analysis for Science & Technology Literature," J. of KIISE., vol. 18, no. 12, 2012, pp. 901-905.
  15. I. Yun, S. Kim, and E. Jeong, "Evaluation of Technology Activity, Innovation and Productivity using Korean Patent Information," J. of information management, vol. 42, no. 2, 2011, pp. 151-165. https://doi.org/10.1633/JIM.2011.42.2.151
  16. J. S. Kim and Y. D. Lee, "Priority setting of key technologies through technology foresight - Empirical analysis of Korean government research institutes," In Proc. the Korea Technology Innovation Society (KOTIS), Seoul, Korea, May 2009, pp. 109-127.
  17. K. S. Choi and G. C. Park, "Study on DB construction and usage structure of excellent technology," Korean Society for Internet Inform. (KSII), vol. 9, no. 2, Nov. 2008, pp. 395-398.
  18. W. K. Joo, K. S. Choi, and J. S. Kim, "Service system to promote the use of national R&D technical information," J. of Comput. Sci. and Eng. (JCSE), vol. 38, no. 1, June, 2011, pp. 145-148.
  19. B. W. Park, Case of foreign promising futuristic technology selection. KDI Press, 2005, pp. 25-33.
  20. A. Kontostathis, L. M. Galitsky, W. M. Pottenger, S. Roy, and D. J. Phelps, A survey of emerging trend detection in textual data mining. IN BERRY, M. (Ed.) Survey of text mining, Springer-Science+Bisiness Media New York 2004, pp. 185-224.
  21. S.-Y. Chang, B.-C. Lee, and Y.-B. Kim, "A Study on the Emerging Technology Detection in the Field of LED Using Scientometrics," J. of the Korea Academia-Industrial cooperation Society, vol. 12, no. 3, 2011, pp. 1213-1222. https://doi.org/10.5762/KAIS.2011.12.3.1213

Cited by

  1. Developing a Methodology of Structuring and Layering Technological Information in Patent Documents through Natural Language Processing vol.9, pp.11, 2017, https://doi.org/10.3390/su9112117