A Study on the Technology Transfer Efficiency for Public Institutes Using DEA Model

DEA 모형을 이용한 공공연구기관의 기술이전 효율성 분석에 관한 연구

  • Hyon, Man-Sok (Korea Technology Transfer Center(KTTC)) ;
  • Yoo, Wang-Jin (Dept. of Venture Technology & Management Graduate School of Konkuk University)
  • 현만석 (한국기술거래소) ;
  • 유왕진 (건국대학교 일반대학원 벤처전문기술학과)
  • Published : 2008.06.30

Abstract

This study measured technology transfer efficiency for public institutes. The study made use of DEA being one of the non-parametric linear programming to evaluate technology transfer efficiency for public institutes and to measure technology efficiency, pure technical efficiency and scale efficiency. The measurement of the technology transfer efficiency for public institutes was as follows: The cause of the technology transfer inefficiency was affected by pure technical inefficiency more than by scale inefficiency. Public institutes' RTS(Return To Scale) value varied depending upon the features of the organizations than the features of the regions. Public research institutes' RTS value is more effective than universities' RTS value. We compared the RTS group with the RTS of Projected DMU groups. The RTS group had constant returns to scale effect while the RTS of the Projected DMU had increasing returns to scale effect. The technology transfer efficiency of public institutes varied depending upon the features of the organizations and regions : The technology transfer efficiency of public institutes were as follows : public research institutes at the metropolitan area, public research institutes at the local areas, universities at the metropolitan area and universities at the local areas. In other words, the technology transfer efficiency was affected by organizational characteristics more than by regional characteristics at the place where public institutes were located.

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References

  1. 지식경제부, "기술사업화 지표 산출 보고서", 2007
  2. 한국기술거래소, "기술이전.사업화 백서", 2006
  3. 한국기술거래소, "2006년도 공공연구기관 기술이전현황 조사 결과", 2007
  4. Charnes, A., Cooper, W. W., and Rhodes, E.; "Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, 2(6):429-444, 1978 https://doi.org/10.1016/0377-2217(78)90138-8
  5. Donald S. Siegel, David Waldman, and Albert Link,; "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, 32, Issue 1: 27-48, 2003 https://doi.org/10.1016/S0048-7333(01)00196-2
  6. Michael D. Santoro and Alok K. Chakrabarti; "Firm size and technology centrality in industry-university interactions," Research Policy, 31(7):1163-1180, 2002 https://doi.org/10.1016/S0048-7333(01)00190-1
  7. Banker, R. D., Charnes, A., and Cooper, W. W.; "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, 30:1078-1092, 1984 https://doi.org/10.1287/mnsc.30.9.1078
  8. Banker, R. D.; "Estimating Most Productive Scale Size Using Data Envelopment Analysis," European Journal of Operational Research, 17(1):35-44, 1984 https://doi.org/10.1016/0377-2217(84)90006-7