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Analysis of Investment in Nanotechnology Using DEA

DEA를 활용한 나노기술의 투자분석

  • Received : 2018.10.08
  • Accepted : 2018.11.29
  • Published : 2018.12.31

Abstract

This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.

Keywords

References

  1. Banker, R.D., Charnes, A., and Cooper, W.W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 1984, Vol. 30, No. 9, pp. 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  2. Boussofiane, A., Dyson, R.G., and Thanassoulis, E., Applied Data Envelopment Analysis, European Journal of Operational Research, 1991, Vol. 52, No. 1, pp. 1-15. https://doi.org/10.1016/0377-2217(91)90331-O
  3. Eilat, H., Golany, B., and Shtub, A., Constructing and Evaluating Balanced Portfolios of R&D Projects with Interactions : A DEA Based Methodology, European Journal of Operational Research, 2006, Vol. 172, No. 3, pp. 1018-1039. https://doi.org/10.1016/j.ejor.2004.12.001
  4. Fitzsimmons, J.A. and Fitzsimmons, M.J., Service Management for Competitive Advantage, McGrow-Hill, Inc., 1994.
  5. Guan, J.C., Yam, R., Mok, C.K., and Ma, N., A Study of the Relati), hip between Competitiveness and Technological Innovation Capability based on DEA Models, European Journal of Operational Research, 2006, Vol. 170, pp. 971-976. https://doi.org/10.1016/j.ejor.2004.07.054
  6. Hong, S.K. and Ahn, D.H., A Study on the Analysis of the Inter-industry Flow and Increase of Direct and Indirect Productivity of R&D Investment, Science and Technology Policy Institute, 1991, pp. 6-47.
  7. Hsu, F.M. and Hsueh, C.C., Measuring relative efficiency of Gov.-sponsored R&D projects : A three-stage approach, Evaluation and Project Planning, 2009, Vol. 32, No. 2, pp. 178-186. https://doi.org/10.1016/j.evalprogplan.2008.10.005
  8. Hwang, S.W., Ahn, D.H., Choi, S.H., Kwon, S.H., Cheon, D.P., Kim, A.R., and Park, J.H., Efficiency of National R&D Investment, Science and Technology Policy Institute, 2009, pp. 28-53.
  9. Kocher, M.G., Luptacik, M., and Sutter, M., Measuring Productivity of Research in Economics : A Cross-country Study Using DEA, Socio-Economic Planning-Sciences, 2006, Vol. 40, No. 4, pp. 314-332. https://doi.org/10.1016/j.seps.2005.04.001
  10. Lee, H.Y., Park, Y.T., and Choi, H.G., Comparative evaluation of performance of national R&D projects with heterogeneous objectives : a DEA approach, European Journal of Operational Research, 2009, Vol. 196, No. 3, pp. 847-855. https://doi.org/10.1016/j.ejor.2008.06.016
  11. Lee, J.S. and Jeong, B.H., Analysis for The National R&D Investment and The Trend of Patent Application in 6T Areas, Joint Conference of the Korean Society of Industrial Engineers and Korean Society of Management Scientists, Chonbuk National University, 2004, Korea.
  12. Nam, I.S., Kim, W.S., Lee, J.S., and Jeong, B.H., A Study on Trend Analysis of Patents Application in 6T Area, Journal of Society of Korea Industrial and Systems Engineering, 2004, Vol. 27, No. 4, pp. 49-58.
  13. National Science & Technology Information Service, http://www.ntis.go.kr.
  14. Wang, E.C. and Huang, W., Relative Efficiency of R&D Activities : A Cross-Country Study Accounting for Environmental Factors in the DEA Approach, Research Policy, 2007, Vol. 36, No. 2, pp. 260-273. https://doi.org/10.1016/j.respol.2006.11.004

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