Asian Journal of Innovation and Policy

Asian Society for Innovation and Policy (아시아기술혁신학회)
권호 표지
DOI QR코드

DOI QR Code

4P Model for Strategic Research Planning: Focusing on the Cases of Korea Research Institute of Chemical Technology

  • Choi, Kyungsun (Technology Transfer Team, Korea Research Institute of Chemical Technology (KRICT)) ;
  • Choe, Hochull (Chemistry Policy and Information Center) ;
  • Ko, Youngjoo (Policy and Cooperation Division, KRICT, National Science and Technology Council)
  • Received : 2017.12.11
  • Accepted : 2018.02.06
  • Published : 2018.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

The demand for efficient utilization of input resources and productive outcomes is increasing as the government's R&D investments in Government-funded research institutes (GRIs) expand. These changes call for improving research-planning activities, which are defined as a set of activities wherein objectives are established, strategies for acquisition and expenditures of research resources are devised, and utilizations of research outcomes are addressed. This study introduces the integrated 4P analysis model that identifies the relationships among patents, papers, products, and projects. It looks into 4P analysis structure and its efficiency as a research planning means through case studies of the Korea Research Institute of Chemical Technology. This study introduces 4P analysis applied to KRICT, which can be utilized for outcome-oriented research planning of GRIs. At the same time, it investigates into the benefits and implications of 4P analysis. It proffers policy suggestions on such aspects as how research planning of GRIs should go through changes in a strategic and systematic way.

Keywords

References

  1. Archibugi, D. (1992) Patenting as an indicator of technological innovation: a review, Science and Public Policy, 19(6), 357-368.
  2. Cho, S., Lee, C. and Hyun, B.H. (2011) A study of national R&D supporting plan for R&D efficiency, Conference of The Korean Operations Research and Management Science Society, 345-362.
  3. Dvir, D., Lipovetsky, S., Shenhar, A. and Tishler, A. (1999) Common Managerial Factors Affecting Project Success, Tel Aviv University.
  4. Ernst, H. (2003) Patent information for strategic technology management, World Patent Information, 25(3), 233-242. https://doi.org/10.1016/S0172-2190(03)00077-2
  5. Fabry, B., Ernst, H., Langholz, J. and Koster, M. (2006) Patent portfolio analysis as a useful tool for identifying R&D and business opportunities - an empirical application in the nutrition and health industry, World Patent Information, 28(3), 215-225. https://doi.org/10.1016/j.wpi.2005.10.004
  6. Heo, N.Y. and Ko, Y. (2015) The status of research of quantum dot using 4P analysis - focusing on the application and convergence field of quantum technology, Journal of the Korea Convergence Society, 6(2), 49-55. https://doi.org/10.15207/JKCS.2015.6.2.049
  7. Hyun, B.H., Yun, G.H. and Seo, J.H. (2006) The New Research and Development Planning Theory, July 2007, Seoul: Gyungmoonsa.
  8. Kang, Y. (2014) The status of research about Korean herbal medicines using 3P (paper, patent, and product) analysis, Korean Herbal Medicine Informatics, 2(1), 15-24.
  9. Kim, J.C., Lee, J.H., Kim, G.J., Park, S.S. and Jang, D.S. (2014) Data engineering: time series analysis of patent keywords for forecasting emerging technology, Journal of Information Processing Systems: Software and Data Engineering, 3(9), 355-360.
  10. Kim, Y., Han, H.J., Lee, K.H., Lee, Y.S. and Ahn, S.K. (2012) A study on a method to use industrial and technical information in process of R&D project planning, Journal of Information Management, 43(4), 69-96. https://doi.org/10.1633/JIM.2012.43.4.069
  11. Kwon, B. (2015) Wave of Emerging Research and Technology, Thomson Reuters.
  12. Lee, H. (2005) Science and technology information analysis for R&D, Patent, 21(60), 33-39.
  13. Lee, M.J., Lee, J.Y., Kim, D.H., Shim, W., Jeong, D.H. and Kim, K.H. (2012) An analysis of the linked structure for technology-industry in national R&D projects, Journal of Korea Technology Innovation Society, 15(2), 443-460.
  14. Lee, S.O. and Shin, Y. (2009) The case of information analysis system construction for R&D planning, Information Communications Magazine, 26(1), 16-24.
  15. Lee, W., Ahn, K. and Lee, M. (2003) Technology innovation in Korea through patent citation analysis, Spring Conference of The Korean Operations Research and Management Science Society, 1011-1017.
  16. Moon, Y.H., Park, J.S., Lee, J.Y., Park, S.Y. and Ko, B.Y. (2006) Strategy of national R&D planning based on efficient udtilization of information, Spring Conference of The Korea Technology Innovation Society, 179-194.
  17. QY Research (2016) Global Polydicyclopentadiene Industry Report, Chemical and Material Research Center.
  18. Shin, S. and Hyun, B. (2008) A study of analysis methods on R&D productivity using patent and aper analysis, Journal of Korea Technology Innovation Society, 11(3), 400-429.
  19. Song, W., Seong, J.E., Kim, Y.C., Hwang, H.R. and Choung, J.Y. (2006) In search of post catch-up innovation system, Policy Research, 25, 1-530.
  20. Yun, J.H., Hyun, B.H. and Seo, J.H. (2006) A study on the methodology of R&D planning - Investigation on the market oriented new method of R&D planning, Autumn Conference of the Korea Technology Innovation Society, 139-154.