$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

첨단산업기술(6T) 연구개발사업의 효율성 분석: 2단계 네트워크 DEA 접근의 적용
Analyzing the Efficiency of National 6T R&D Projects by Two-stage Network DEA Approach 원문보기

Journal of Korean Society of Industrial and Systems Engineering = 한국산업경영시스템학회지, v.44 no.3, 2021년, pp.248 - 261  

남현동 (성균관대학교 국정전문대학원) ,  남태우 (성균관대학교 국정전문대학원)

Abstract AI-Helper 아이콘AI-Helper

Scientific and technological performances (e.g., patents and publications) made through R&D play a pivotal role for national economic growth. National governments encourage academia-industry cooperation and thereby pursue continuous development of science technology and innovation. Increasing R&D-re...

주제어

참고문헌 (45)

  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. 

  2. Banker, R.D., Cooper, W.W., Seiford, L.M., Thrall, R.M., and Zhu, J., Returns to scale in different DEA models, European Journal of Operational Research, 2004, Vol. 154, No. 2, pp. 345-362. 

  3. 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. 

  4. Brown, M.G., & Svenson, R.A., Measuring r&d productivity, Research-Technology Management, 1988, Vol. 31, No. 4, pp. 11-15. 

  5. Byun, S.K. and Han, J.H., Efficiency Estimations for the government driven R&D projects in IT industires, Hannam Journal of Law & Technology, 2009, Vol. 15, No. 2, pp. 179-206. 

  6. Charnes, A., Cooper, W.W., and Rhodes, E., Measuring the efficiency of decision making units, European Journal of Operational Research, 1978, Vol. 2, No. 6, pp. 429-444. 

  7. Cohen, W.M. and Levinthal, D.A., Innovation and learning: the two faces of R&D, The Economic Journal, 1989, Vol. 99, No. 397, pp. 569-596. 

  8. Cook, W.D. and Zhu, J., Data envelopment analysis: A handbook of modeling internal structure and network, Springer, 2014. 

  9. Cook, W.D., Zhu, J., Bi, G., and Yang, F., Network DEA: Additive efficiency decomposition, European Journal of Operational Research, 2010, Vol. 207, No. 2, pp. 1122-1129. 

  10. Cullmann, A., Schmidt-Ehmcke, J., and Zloczysti, P., R&D efficiency and barriers to entry: a two stage semi-parametric DEA approach, Oxford Economic Papers, 2012, Vol. 64, No. 1, 176-196. 

  11. Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., and Shale, E.A., Pitfalls and protocols in DEA, European Journal of Operational Research, 2001, Vol. 132, No. 2, pp. 245-259. 

  12. Emrouznejad, A. and Yang, G.L., A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016, Socio-economic Planning Sciences, 2018, Vol. 61, pp. 4-8. 

  13. Farrell, M.J., The measurement of productive efficiency, Journal of the Royal Statistical Society: Series A (General), 1957, Vol. 120, No. 3, pp. 253-281. 

  14. Ferretti, F., Pereira, A.G., Vertesy, D., and Hardeman, S., Research excellence indicators: time to reimagine the 'making of'?, Science and Public Policy, 2018, Vol. 45, No. 5, pp.731-741. 

  15. FItzsimmons, J.A. and Fitzsimmons, M.J., Service management for competitive advantage, McGraw Hill, 1994. 

  16. Freeman, C. and Soete, L., Developing science, technology and innovation indicators: What we can learn from the past, Research Policy, 2009, Vol. 38, No. 4, pp. 583-589. 

  17. Golany, B., and Roll, Y., An application procedure for DEA, Omega, 1989, Vol. 17, No. 3, pp. 237-250. 

  18. Halaskova, M., Gavurova, B., and Kocisova, K., Research and development efficiency in public and private sectors: An empirical analysis of EU countries by using DEA methodology, Sustainability, 2020, Vol. 12, No. 17, pp. 7050. 

  19. Hong, H.D., Lee, K.H., Park, K.P., and Hwang, B.Y., The Impact of Organizational Competencies on the Performance of R&D Management Agencies in Korea, Korea Technology Innovation Society, 2018, Vol. 21, No. 2, pp. 788-817. 

  20. Hong, S.G., Hong, S.K., and Ahn, D.H., A Study on R&D investment flows between industrial sector and analysis of the effects on the increase of direct and indirect Productivity, Sejong: Science and Technology Policy Institute, 1991. 

  21. Hsu, F.M. and Hsueh, C.C., Measuring relative efficiency of government-sponsored R&D projects: A three-stage approach, Evaluation and Program Planning, 2009, Vol. 32, No. 2, pp. 178-186. 

  22. Hwang, S.W., Ahn, D.H., Choi, S.H., Kwon, S.H., Chun, D.P., Kim. A.R., and Park, J.H., Efficiency of national R&D investment, Sejong: Science and Technology Policy Institute, 2009. 

  23. Jiang, B., Chen, H., Li, J., and Lio, W., The uncertain two-stage network DEA models, Soft Computing, 2021, Vol. 25, No. 1, pp. 421-429. 

  24. Jimenez-Saez, F., Zabala-Iturriagagoitia, J.M., Zofio, J.L., and Castro-Martinez, E, Evaluating research efficiency within National R&D Programmes, Research Policy, 2011, Vol. 40, No. 2, pp. 230-241. 

  25. Kao, C. and Hwang, S.N., Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan, European Journal of Operational Research, 2008, Vol. 185, No. 1, pp. 418-429. 

  26. Kil, J.B., Jung, B.K., and Yeom, J.H., Government-funded Research Institutes, Agency Problem and Project Based System(PBS), Korean Review of Organizational Studies, 2009, Vol. 6, No. 2, pp. 179-202. 

  27. Kim, T.H., A Study on the Way to Enhance Research Performance out of the International Joint Projects under the Framework of National R&D Programs, Focusing Basic and Fundamental Technology, Journal of Korea Technology Innovation Society, 2012, Vol. 15, No. 2, pp. 400-420. 

  28. Kim, Y.H., and Kim, S.K., An Analysis on the R&D Productivity and Efficiency of Korea: Focused on Comparison with the OECD Countries, Journal of Technology Innovation, 2011, Vol. 19, No. 1, pp. 1-27. 

  29. Lee, H., Kim, M.S., Yee, S.R., and Choe, K., R&D performance monitoring, evaluation, and management system: A model and methods, International Journal of Innovation and Technology Management, 2011, Vol. 8, No. 2, pp. 295-313. 

  30. Lee, H., Park, Y., and Choi, H., Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach, European Journal of Operational Research, 2009, Vol. 196, No. 3, pp. 847-855. 

  31. Lee, H.Y., and Park, Y.T., An international comparison of R&D efficiency: DEA approach, Asian Journal of Technology Innovation, 2005, Vol. 13, No. 2, pp. 207-222. 

  32. Lee, K.J., Lee, J.J., Son, B.H., Hwang, B.Y., Kang, H.K., Ahn, B.M., Kim, J.Y., Han, S.Y., Chun, S.B., and Kwon, M.H., A Study on the Analysis of Major S&T Issues and Deduction of Policy Direction, Chungcheongbuk-do: Korea Institute of S&T Evaluation and Planning, 2009. 

  33. Lee, W.S., Lee, J.O., Hwang, S.W., Lee, J.D., Hwang, W.S., Yang, H.W., Hong, C.Y., Jung, S.M., Kim, B.H., and Yi, S.G., Development of Korean R&D-based Macroeconomic Model and CGE Model, Sejong: Science and Technology Policy Institute, 2012. 

  34. Liang, L., Cook, W.D., and Zhu, J., DEA models for two-stage processes: Game approach and efficiency decomposition, Naval Research Logistics (NRL), 2008, Vol. 55, No. 7, pp. 643-653. 

  35. Liang, L., Yang, F., Cook, W.D., and Zhu, J., DEA models for supply chain efficiency evaluation, Annals of Operations Research, 2006, Vol. 145, No. 1, pp. 35-49. 

  36. Nam, H.D., Oh, M.J., and Nam, T.W., R&D efficiency of OECD member countries: Evaluation and Suggestions, The Korean Production and Operations Management Society, 2020, Vol. 31, No. 3, pp. 249-273. 

  37. Odagiri, H. and Murakami, N., Private and quasi-social rates of return on pharmaceutical R&D in Japan, Research Policy, 1992, Vol. 21, No. 4, pp. 335-345. 

  38. Park, C.I. and Seo, H.J., The Efficiency and Productivity Change in the National R&D Projects of 6T Sectors, Journal of Industrial Economics and Business, 2018, Vol. 31, No. 1, pp. 293-325. 

  39. Porter, M.E. and Stern, S., Measuring the "ideas" production function: Evidence from international patent output, NBER Working Paper, 2000, w7891. 

  40. Rhim, H.S., Yoo, S.C., and Kim, Y.S., DEA/AHP Hybrid Model for Evaluation & Selection of R & D Projects, Journal of The Korean Operations Research and Management Science Society, 1999, Vol. 24, No. 4, pp. 1-12. 

  41. Rogers, S., Performance management in local government, Longman, 1990. 

  42. 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. 

  43. Wang, E.C., R&D efficiency and economic performance: A cross-country analysis using the stochastic frontier approach, Journal of Policy Modeling, 2007, Vol. 29, No. 2, pp. 345-360. 

  44. Yoo, S.C., Meng, J., and Lim, S.M., An analysis of the performance of global major airports using two-stage network DEA model, Journal of Korean Society for Quality Management, 2017, Vol. 45, No. 1, pp. 65-92. 

  45. Zhu, J., Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets, 3ed., Springer, 2014. 

관련 콘텐츠

오픈액세스(OA) 유형

FREE

Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문

이 논문과 함께 이용한 콘텐츠

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로