臺灣博碩士論文加值系統

本研究係以經濟部技術處電子、資訊領域的科專計畫（簡稱電資科專），在民國八十四年度至八十八年度間完成的全程計畫成果查證報告中的資料，彙整領域特性及實際運作狀況，作為投入、產出的項目，利用資料包絡分析法（Data Envelopment Analysis, DEA）評估其研究發展效率，以提供委託單位（經濟部技術處）資源配置與管控的參考，並作為執行單位績效改進的依據。
本研究結果顯示：1.電資科專的執行績效，其效能並非全是漸入佳境的趨勢，但同一技術的第二期計畫的效能明顯高於第二期。2.執行績效之良窳與執行單位無關，而與執行之資歷有關。3.科專計畫在研提階段，委辦單位可以在研提階段，以DEA作為目標管理設定的工具。4.專利和技術報告是科專計畫產出評估的關注重點。5.因為研究發展的成果有時間展延的特性，所以在評比績效時，尚須加入專家的評審指示，才可更深層的看到未來可促動與展現的產業效益。

In this study, data envelopment analysis (DEA) is used to measure the relative efficiency of the electronics and information technology development projects
(EITDP) in Taiwan. This study indicates that DEA is a useful tool in helping to benchmark the projects, which is continuously aspiring to improve the performances of EITDP. In addition, DEA yields a relative measure of efficiency and it identifies those inputs and outputs that are being under-utilized. This information may be useful for some project managers. Meanwhile, this study presents that the performances of the individual year of a particular project are no difference. However, if a particular project had been performed in two periods, then the performances of the second period are better than those of the first period.

中文摘要Ⅰ
英文摘要Ⅱ
誌謝Ⅲ
目錄Ⅳ
圖目錄Ⅵ
表目錄Ⅶ
第一章　緒論
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究範圍與限制 2
1.4 研究流程 3
第二章　文獻探討
2.1 科技研發專案的績效評估 4
2.2 科技研發專案的績效評估系統 8
2.3 科技研發專案的績效評估的架構 10
2.4 資料包絡分析法的相關文獻 14
第三章　資料包絡分析法介紹
3.1 DEA之緣起 19
3.2資料包絡分析法之基本理論 22
3.3 CCR模式 25
3.4 BCC模式 27
3.5 差額變數分析 30
3.6 DEA在效能衡量及衡量效能變動的應用 31
第四章　電資科專DEA模式建構與解析
4.1研究對象背景分析 37
4.2投入、產出項目的選擇 37
4.3 DEA分析法模式之選取 40
4.4效率分析 41
4.5效能分析 51
4.6綜合分析 59
第五章　結論與建議
5.1結論 62
5.2未來研究方向建議 63
參考文獻 64
附件A 68
附件B 76

參考文獻
1. Ali, A.I., Cook, W.D. and Seiford, L.M., “Strict vs. Weak Ordinal Relations for Multipliers in Data Envelopment Analysis”, Management Science, Vol.37, No.6, PP.733-738, 1991.
2. Banker, R.D., and Maindiratta, A., “Piecewise Loglinear Estimation of Efficient Production Surfaces”, Management Science, Vol.32, No.1, PP.126-135, 1986.
3. Banker, R.D. Aand Morey, R.C., “Efficiency Analysis for Exogenously Fixed Inputs and Outputs”, Operations Research, Vol.34, No.4, PP.513-521, 1986.
4. Banker, R.D. and Morey, R.C., “The Use of categorical Variables in Data Envelopment Analysis”, Management Science, Vol.12, PP.1613-1627, 1986.
5. Banker, R.D., Charnes, A. and Cooper, W.W., “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, Vol.30, No9, PP.1078-1092, 1984.
6. Brown, M.G. and Svenson, R.A., Measuring R&D Productivity, Research Technology Management, PP.11-15 July/Aug 1988.
7. Byrnes, P., Färe, R.and Grosskopf, S., “Measuring productive efficiency : an application to Illinois strip mines” , Management Science, Vol.30, No.6, PP671-681, 1984.
8. Caves, D.W., Christensen, L. R. and Diewert, W. E., The Economic Theory of Index Numbers and The Measurement of Input , Output, and Productivitu, Econometrica, Vol. 50, No. 6, pp. 1393-1414, 1982.
9. Charnes, A., Cooper, W.W. and Rhodes, E., Measuring the Efficiency of Decision Making Units, European Journal of Operational Research , Vol.2, No.6, PP.429-444, 1978.
10. Charnes, A. and Neralic, L., Sensitivity Analysis in Data Envelopment Analysis, Glasnik Mathematicki, Vol.24, No.44, PP.449-463, 1989.
11. Charnes, A., Clark, C.T., Cooper,W.W. and Golany, B., A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance Units in the U.S. Air Forces, Aannals of Operations Research, 2, PP.95-112, 1985.
12. Charnes, A., Cooper, W.W., Lewin, A.Y.; Morey, R.C. and Roussean, J., Sensitivity and stability Analysis in DEA, Annals of Operations Research , Vol.2, PP.139-156, 1985.
13. Charnes, A., Cooper, W.W. and Thrall, R.M., Classifying and Characterizing Efficiencies and Inefficiencies in Data Envelopment Analysis, Operations Research Letters, Vol.5, No.3, PP.105-110, 1986.
14. Färe R., Grosskopf, S. and Knox Lovell, C. A., The measurement of Efficiency of Production, Bostion: Kluwer-Nijhoff, 1985.
15. Färe, R., A Dynamic Non-Parametric Measure of Output Efficiency, Operatons Research Letters, Vol.5, No.2, PP.83-85, 1986.
16. Farrell, M.J., The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A, General, 120, Part3, PP.253-281 1957.
17. Førsund, F.R. and Hjalmarsson, L., “Generalised Measures of Efficiency : an Application to Milk Processing in Swedish Dairy Plants”, The Economic Journal, 89, 354, PP.294-315, 1979.
18. Grabowski, R. and Mehdian, S., A comparison of the Rate of Technical Change Between FmHA and Non-FmHA farmers, The Journal of Productivity Analysis, Vol.1, PP.155-163, 1989.
19. Kopp, R.J. and Diewert, W.E., “The Decomposition of Frontier Cost Function Deviations Into Measures of Technical and Allocative Efficiency”, Journal of Econometrics, Vol.19, PP.319-331, 1982.
20. Lewin, A. Y. and Minton, J. W., Determining Organizational Effectiveness: Another Look, and an Agenda for Research, Management Science, Vol. 32, No, pp. 514-538, 1986.
21. Mohrman, A.M., Mogrman, S.A. and Worley, C.G., High Technology Performance Management, Managing Complexity in High Technology Organizations, Edited by Glinow, M.A.V., and Mogrman, S.A., Oxford University, Oxford, pp.216-236, 1990.
22. Norman Michael and Barry Stoker, Data Envelopment Analysis-The Assessment of Performance, John Wiley &Sons, 1991.
23. Pappas, R.A. and Remer, D.S., Measuring R&D Productivity, Research Management, Vol.28, No.3, PP.15-22 May-June 1985.
24. Seiford, L.M., A Bibliography of Data Envelopment Analysis (1978-1990), Version 5.0, Working Paper. Amhert, Mass: The Unversity of Massachusetts, 1990.
25. Sziligy, jr.,A.D., Management and performance, 2nd ed., New Jersey: Scott, Foresman and Company, 1984.
26. Thompson, R.G., F.D., Singleton, J. R., Thrall, R.M. and Smith, B.A., “Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas”, Interfaces , Vol.16, No.6, PP35-49, 1986.
27. Varian, Hal R., Microeconomic Analysis, 2nd , New York: Norton  Company, 1984.
Version 5.0, Working Paper. Amherst, Mass: The University of Massachusetts, 1990.
28. Zieschang, K.D., “A Note On the Decomposition of Cost Efficiency into Technical and Allocative Components “, Journal of Econometrics, 23, PP.401-405, 1983.
29. 江協洲，資料包絡分析法在跨年度科技專案績效評估之研究一以能源科技研發專案為例，交通大學科管所碩士論文，1995.
30. 何雍慶等，工研院歷年來研究專案對產業影響之追蹤與分析，工業技術研究院，76年。
31. 李延春 醫院經營績效之評估與資料包絡分析法權數設限之研究 交通大學管科所碩士論文，1993.
32. 林治廷，科技研究發展專案的連續多期的效率評估(GIPOTE)模式，交通大學工工所碩士論文，2000.,
33. 袁建中，黃志男，張寶誠，資料包絡分析法在科技專案執行效率評估的應用一以能源科技研發專案為例，科技管理學刊，第四卷第一期，PP.17-38, 1999年6月.
34. 莊明山，目標導向研發專案評估方法研究，交通大學科管所碩士論文，1994
35. 游啟聰，大型工業技術研究發展成果績效評估之研究，經濟部，80年，6月。
36. 黃旭男，資料包絡分析法使用程序之研究及其在非營利組織效率評估上之應用，交通大學博士論文，1993.
37. 劉如山，劉代洋，科技專案計畫追蹤驗証評估之研究，國立台灣工業技術學院，1992產業科技研究發展研討會，81年 6月
38. 顏慧明、賴志松、楊千，以資料包絡分析模式評估科技計畫績效，中華民國科技管理論文研討會，1998.