一、中文文獻
1.沈中華、彭金隆，「金控亂年14金控比一比」，Winner雜誌，第八期，93年6月。
2.周建維，「企業供應鏈流程即時性績效管理之研究」，國立成功大學企業管理學系(EMBA)專班，民國91年。3.林秋發，「信用合作社經營績效之研究―多變量分析法之應用」，國立屏東商專學報，第3期，第23-34頁，民國84年。4.林清山，多變項分析統計法，台北：東華書局，民國89年。
5.胡崇銘，「以主成份分析評估基金績效與風險」，國立臺灣大學商學研究所，民國89年。6.高強, 黃旭男, Toshiyuki Sueyoshi，資料包絡分析法，華泰出版，民國92年。
7.張原銘，「金控架構下與非金控架構下之銀行效率分析」，國立高雄第一科技大學金融營運研究所碩士論文，民國92年。8.張嗣聰，「以DEA法探討我國金控公司行銷面與財務面經營效率」，國立中正大學企業管理研究所碩士論文，民國93年。9.陳月燕，「台北銀行民營化過程及成效之研究」，淡江大學管理科學研究所企業經營碩士在職專班，民國93年。10.粘育銓，「運用資料包絡分析法對產險營業單位做績效評估以C產物保險股份有限公司為例」，雲林科技大學企業管理研究所碩士論文，民國93年。11.曾國雄，多變項解析及其應用，台北：華泰書局，民國80年
12.童宗傑，「台灣地區新銀行經營績效比較分析-資料包絡分析法之應用」，中山大學經濟研究所碩士論文，民國90年。13.蔡蕙鈺，「應用資料包絡分析法與主成份分析法在國內產物保險業經營效率分析之研究」，長庚大學企業管理研究所碩士論文，民國91年。14.鄭玟玨，「企業環境、企業特性、事業策略、人力資源管理對經營績效的影響―以台灣證券投資信託事業為例」，國立中山大學人力資源管理研究所碩士論文，民國90年。15.賴美利，「美國銀行控股公司與非銀行控股公司績效分析之研究」，長庚大學企業管理研究所碩士論文，民國93年。16.謝章捷，「落實金融控股公司公司治理之研究」，銘傳大學財務金融學系碩士在職專班，民國91年。17.顏慶章，「台灣金融改革的新方向」，財稅研究，第34 卷，第一期，民國91年。18.羅一忠，「國內綜合證券商經營績效之評估—主成份分析及灰色關聯分析之應用」，銘傳大學金融研究所碩士在職專班論文，民國90年。19.龔照勝，「金控公司評比標準年底前出爐」，聯合報，民國93年10月22日。
二、英文文獻
1.Adler, N. and Golany, B., “Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to western Europe,” European Journal of Operational Research, 132(2), 2001, pp.260-273.
2.Adler, N. and Golany, B., “Including principal component weights to improve discrimination in data envelopment analysis,” The Journal of the Operational Research Society. Oxford, 53(9), 2002. pp.985-991.
3.Ali, A. I., “Streamlined computation for data envelopment analysis,” European Journal of Operational Research, 64, 1993, pp.61-67.
4.Ali, A. I., Lerme, C. S. and Seiford, L. M., “Components of efficiency evaluation at data envelopment analysis,” European Journal of Operational Research, 80(3), 1995, pp.462-473.
5.Andersen, P. and Petersen, N. C., “A procedure for ranking efficient units in data envelopment analysis,” Management Science, 39(10), 1993, pp.1261-1264.
6.Andrea, L., and Paul, A., “Using factor analysis to identify industrial targets,” Economic Development Review Park Ridge, 12(2), 1994, pp.74-78.
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, 1984, pp.1078-1092.
8.Banker, R. D., Conrad, R. F., and Strauss, R. P., “A comparative application of data envelopment analysis and translog methods: An illustrative study of hospital production,” Management Science, 32, 1986, pp.3-44
9.Belch, B. W., and Huang, C. T., Multivariate Statistical Methods for Business and Economics. Prentice-Hall, Englewood Cliffs, New Jersey, 1974.
10.Benson, J., and Nasser, F., “On the use of factor analysis as a research tool,” Journal of Vocational Education Research, 23(1), 1998, pp.13-33.
11.Charnes, A., Cooper, W. W., and Rhodes, E., “Measuring the efficiency of decision making units,” European Journal of Operational Research, 1978, pp.429-444.
12.Chen, T. Y. and Yeh, T. L., “A measurement of bank efficiency, ownership and productivity changes in Taiwan,” The Service Industries Journal, 20(1), 2000, pp.95-109
13.Cliff, N., “The eigenvalue-greater-than-one rule and the reliability of components,” Psychological Bulletin, 103, 1988, pp.276-279.
14.Comrey, A. L., and Lee, H. B., A First Course in Factor Analysis 2nd ed., Academic Press, New York., 1992.
15.Cui, C. C., Lewis, B. R., and Won P., “ Service quality measurement in the banking sector in south Korea,” The International Journal of Bank Marketing, 21(4/5), 2003, pp. 191-202.
16.Ebrahimipour, V. and Suzuki, K., “A synergetic approach for assessing and improving equipment performance in offshore industry based on dependability,” Reliability Engineering & System Safety, 91, 2006, pp.10-19.
17.Farrell, M. J., “The measurement of productive efficiency,” Journal of the Royal Statistical Society, 120, 1957, pp.253-281.
18.Hadad, Y., Friedman, L., Sinuany-Stern, Z.,and Mehrez, A., “DEA supper efficiency multistage ranking,” Computer Modelling & New Technologies, 7(1), 2003, pp.37-46.
19.Hotelling, H. ,“Analysis of a complex of statistical variables into principal components,” Journal of Education Psychology, 24, 1933, pp.417-441, pp. and 498-520.
20.Kaiser HF.,“The application of electronic computers to factor analysis,” Educational and Psychological Measurement. 20, 1960, pp.141-151.
21.Liao, H. C., and Chen, Y. K., “Optimizing multi-response problem in the Taguchi method by DEA based ranking method,” the International Journal of Quality & Reliability Management, 19(6/7), 2002, pp. 825-837.
22.Lovell, C. A. K., Färe, H. O., and Schmidt, S. S., The Measurement of Productive Efficiency: Techniques and Applications, Oxford University Press, New York, 1993.
23.Miller, S. M. and Noulas, A. G., “The technical efficiency of large bank production,” Journal of Banking & Finance, 20, 1996, pp.495-509.
24.Murthi B. P. S., Choi Y. K. and Desai P.,“Efficiency of mutual funds and portfolio performance measurement: a non-parametric approach,” European Journal of Operational Research, 98, 1997, pp.408-418.
25.Pearson, K., “On lines and planes of closest fit to a system of points in the space,” Philosophical Magzine, 2(6), pp.557-572, 1901.
26.Premachandra, I. M., “A note on DEA vs. principal component analysis: an improvement to Joe Zhu's approach,” European Journal of Operational Research, 132, 2001, pp.553-560.
27.Serrano-Cinca, C., and Mar-Molinero, C., “Selecting DEA specifications and ranking units via PCA,” The Journal of the Operational Research Society. Oxford, 55(5), 2004, pp. 521-543.
28.Shih, V., Zhang, Q., and Liu, M., “Comparing the performance of Chinese banks: a principal component approach,” Department of Political Science, Northwestern University, working paper, under review at China Economic Review, 2005.
29.Singh, M. K., “Value at risk using principal components analysis,” Journal of Portfolio Management, 24(1), 1997, pp.101-110.
30.Slottje, D., Scully, G. W., Hirschberg, J. G., and Hayes, K. J., Measuring the Quality of Life Across Countries: A Multidi- Mensional Analysis. Westview Press, Boulder Corolado, 1991.
31.Sueyoshi, T., “Measuring the industrial performance of Chinese cities by DEA,” Socio-Economic Planning Sciences, 26 (2), 1992, pp.75-88.
32.Thrall, R.M. ,“The lack of invariance in optimal solutions under translation,” Annals of Operations Research, 66, 1996, pp.103–108.
33.Velicer, W. F., and Jackson, D. N. ,“Component analysis versus common factor analysis: some further observations,” Multivariate Behavioral Research, 25(1), 1990, pp.97-114.
34.Velicer, W. F., and Jackson, D. N.,“Component analysis versus common factor analysis: some issues in selecting an appropriate procedure ,” Multivariate Behavioral Research, 25(1), 1990, pp. 1-28.
35.Zhu, J., “Data envelopment analysis vs. principal component analysis: an illustrative study of economic performance of Chinese cities,” European Journal of Operational Research 111, 1998, pp.50-61.