Browse > Article
http://dx.doi.org/10.11627/jkise.2013.36.3.126

Comparing Efficiencies of R&D Projects Using DEA : Focused on Core Technology Development Project  

Kim, Heung-Kyu (School of Business Administration, Dankook University)
Kang, Won-Jin (Management of Technology Division, TECHNOVALUE)
Park, Jung-Hee (Division of Technology Commercialization, Korea Institute for Advancement of Technology)
Yeo, In-Kuk (Division of Technology Planning, Korea Institute for Advancement of Technology)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.36, no.3, 2013 , pp. 126-132 More about this Journal
Abstract
In this paper, efficiencies of core technology development projects, conducted by Ministry of Trade, Industry and Energy, are compared. In the process, DEA (Data Envelopment Analysis) is utilized as a main technique for comparing efficiencies. For DEA, input oriented BCC Model is adopted with government grant, recipient expenditure, the number of participating institutions, and project duration as input factors, and the number of patents, the number of papers, and occurred sales as output factors. As a result, next generation mobile communication project turns out to be the most efficient project of all. Therefore, next generation mobile communication project should be benchmarked for the other projects to follow. However, these results should be used only for reference data since every project has a different objective and, of course, is run under a different environment.
Keywords
DEA; Core Technology Development Project; Efficiency;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Kim, H.K., Statistics for Dummies, Korea, Hakhyunsa, 2012.
2 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, p 1078-1092.   DOI
3 Charnes, A., Cooper W.W., and Rhodes E., Measuring the efficiency of decision making units. European Journal of Operational Research, 1979, Vol. 2, p 429-444.
4 Cho, N.W. and Kim T.S., A Study for Establishing Key Performance Indicators of R&D Departments. Society of Korea Industrial and Systems Engineering, 2012, Vol. 35, p 48-54.   DOI
5 Fare, R., Grosskopf S., and Lovell C.A.K., The measurements of efficiency of production. Boston, USA, Kluwer- Nijhoff, 1985.
6 Farris, J.A., Groesbk R.L., and Aken E.M.V., Letens G. Evaluating the relative performance of engineering design projects : A case study using data envelopment analysis. IEEE Transactions on Engineering Management, 2006, Vol. 53, p 471-482.   DOI
7 Hsu, F.M. and Hsueh C.C., Measuring relative efficiency of government-sponsored R&D projects : A threestage approach. Evaluation and Program Planning, 2009, Vol. 32, p 178-186.   DOI
8 Hyon, M.S. and Yoo W.J., A Study on the Technology Transfer Efficiency for Public Institutes Using DEA Model. Society of Korea Industrial and Systems Engineering, 2008, Vol. 31, p 94-103.
9 Mendenhall, W., Wackerly D., and Scheaffer R., Mathematical Statistics with Applications, 4th ed. California, USA, Duxbury, 1989.
10 Park, S.M., Two-staged DEA/AR-I Performance Evaluation Model for R&D Projects Efficiency Correlation Analysis and Programs Positioning Investigation. Journal of the Korean Academic Association of Business Administration, 2010, Vol. 23, p 3285-3303.
11 Yun, S.S., National R&D Project Management Review, Korea : National Assembly Budget Office, 2013.