系統整合業之經營績效評估模式

The Performance Assessment Model of System Integration

10.29843/JCCIS.200907.0004

楊倍箕(Pei-Chi Yang)；李京圃(Ching-Pumr Li)；林瑞源(Jui-Yuan Lin)

系統整合業 ； 經營績效 ； 資料包絡分析 ； System Integration ； business performance ； Data Envelopment Analysis DEA

資訊社會研究

17期（2009 / 07 / 01）

153 - 183

繁體中文

本研究以資料包絡分析法(Data Envelopment Analysis, DEA)針對2005年到2006年間系統整合業之上市上櫃公司業績進行實證分析，經由多階段投入導向CCR以及BCC模式分析來探討各別的營運績效之優劣，並透過差額變數分析作為該公司績效改善之參考依據。此外，運用敏感度分析來探討不同投入和產出的變數組合，探討其是否對效率會產生重大的改變，進而瞭解各個變數對於績效之影響。研究結果發現：1.整體而言28家系統整合業之獲利與營運效率不佳，過半數公司需透過調整經營策略以及改善投入比來增加獲利的能力。2.經由差額變數分析法得知，在眾多公司的營運績效中急需改善之變數為固定資產。3.透過敏感度分析發現，營運成本為最敏感的投入變數。4.生產力分析結果顯示，其中15家公司呈現改善狀態，而剩餘13家則為衰退狀態。

This study applies the method of Data Envelopment Analysis (DEA). We conduct a positivistic analysis of the performances of companies of System-Integration industry listed OTC between 2005 and 2006. The multi-stage investment-oriented model of CCR and BCC are used to discussed the merits of other operating performance. The differences between variables of the company's performance are considered as a basis for improvement; In addition, the use of sensitivity analysis to explore different inputs and outputs of the combination of variables; to explore whether or not its produces bring out a major change; to understand all the variables affecting the performance. The results showed: 1. Overall, 28 of the System Integration and operational efficiency of poor earnings, the majority of companies need to adjust business strategy through and to improve the investment ratio to increase the capacity of profit. 2. Through the analysis of variables differences we realized that, among many companies’ operation achievement, the variable of fixed assets requires urgent improvement. 3. Through the sensitivity analysis, we found that the operation cost is the most sensitive input variables. 4. Productivity analysis revealed that, 15 companies showed improvement, and the remaining 13 are in the state of recession.

1. Banker, R. D.,Charnes, A.,Cooper, W. W.(1984).Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.Management Science,30,1078-1092.
2. Banker, R. ID.,Morey, R. C.(1986).The Use of Categorical Variables in Data Envelopment Analysis.Management Science,12,1613-1627.
3. Barbara, C.,Girardone, C.,Molyneux, P.(2004).Productivity change in European banking: A comparison of parametric and non-parametric approaches.Journal of Banking & Finance,28,2521-2540.
4. Black, A. P.,Wright, J. E.,Bachman, K.,Davies, J.(1998).Search of Shareholder Value.London:
5. Boussofiane, R. G.,Thanassoulis, D. E.(1991).Applied Data Envelopment Analysis.European Journal of Operational Research,52,185-202.
6. Brynjolfsson, E.,Hitt, L.(1996).aradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending.Management Science,42(4),541-558.
7. Chandra, P.,Cooper, W. W.,Shangling, L.,Rahman, A.(1998).Using IDEA to evaluate 29 Canadian textile companiesconsidering returns to scale.International Journal of Production Economics,54,129-141.
8. Charnes, A.,Cooper, W. W.,Lewin, A. Y.,Morey, R. C.,Rousseau, J.(1985).Sensitivity and Stability Analysis in IDEA.Annals of Operation Research,2,139-156.
9. Chen, Y. A.(2003).Non-radial Malmquist productivity index with an illustrative application to Chinese major industries.International Journal of Production Economics,83,27-35.
10. Emel, A. B.,Yolalan, R.(1999).Measuring the relative financial performance of firms in a credit scoring context.
11. Erkut, D.,atice, D.(2007).Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: An application of 500 major industrial enterprises in Turkey.European Journal of Operational Research,182,1412-1432.
12. Farrell, M. J.(1957).The Measurement of Productive Efficiency.Journal of the Royal Statistical Society,120(3),253-281.
13. Fortuin, L.(1998).Performance Indicators-Why, Where and How.European Journal of Operational Research,34
14. Golany, B.(1988).An interactive MOLP procedure for the extension of DEA to effectiveness analysis.Journal of Operational Research Society,164,555-571.
15. Golany,Roll, Y.(1989).An Application Procedure for IDEA.Omega,17(3),237-250.
16. Gregoriou, G. N.,Sedzro, K.,Zhu, J.(2005).Hedge fund performance appraisal using data envelopment analysis.European Journal of Operational Research,164,555-571.
17. Hughes, A.,Suthathip, Y.(2004).Sensitivity and dimensionality tests of DEA efficiency scores.European Journal of Operational Research,154,410-422.
18. Jill, J.(2006).Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993.European Journal of Operational Research,4(17),443-456.
19. Jukka, K.,Antti, L.,Jukka, N.(2007).Warehouse operator selection by combining Al-IF and DEA methodologies.Int. J Production Economics,108,135-142.
20. Kaufman, R.(1988).Preparing Useful Performance Indicators.Training & Development,80
21. Keh, H. T.,Chu, S.(2003).Retail productivity and scale economics at the firm level: A DEA approach.Omega,31,75-82.
22. Land, K. C.,Lovell, C. A. K.,Thore, S.(1993).Chance-constrained Data Envelopment Analysis.Managerial and Decision Economics,14,541-554.
23. Liu, S. T.(2008).A fuzzy DEA/AR approach to the selection of flexible manufacturing systems.Computers & Industrial Engineering,54,66-76.
24. Mahmood, M. A.,Mann, G. J.(1993).Measuring the Organizational Impact of Information Technology Investment: An Exploratory Study.Journal of Management Information Systems,10(1),97-122.
25. Necmi, A. K.(2006).Developing foreign bank efficiency models for DEA grounded in finance theory.Socio-Economic Planning Sciences,40,275-296.
26. Santhanam, R.,Hartono, B.(2003).Issues in Linking Information Technology Capability to Firm Performance.MIS Quarterly,27(1),125-153.
27. Seiford, L. M.(1996).Data Envelopment Analysis: the Evolution of the State of the Art (1978-1995).Journal of Productivity Analysis,7,99-137.
28. Sexton, T. R.,Silkman, R. H.,Hogan, A. J.,Silkman, R.H., (Ed)(1986).Data Development Analysis: Critique and Extension.Measuring Efficiency: An Assessment of Data Development Analysis.
29. Shafer, S. M.,Byrd, T. A.(2000).A Framework for Measuring the Efficiency of Organizational Investments in Information Technology Using Data Envelopment Analysis.Omega,28(2),125-141.
30. Shammari, M.(1999).Optimization modeling for estimating and enhancing relative efficiency with application to industrial companies.European Journal of Operational Research,115,488-496.
31. Shanling Li, G. R.,Jahanshahloo, M.,Khodabakhshi.(2007).A super-efficiency model for ranking efficient units in data envelopment analysis.Applied Mathematics and Computation,184,638-648.
32. Sherman, H. D.,Silkman, R.H. (Ed.)(1986).Managing productivity of health care organizations.Measuring Efficiency: An Assessment of Data Envelopment Analysis.
33. Sheth, C.,Triantis, K.,Teodorovic, D.(2007).Performance evaluation of bus routes: A provider and passenger perspective.Transportation Research Part E,43,453-478.
34. Shinn, S.(2004).Assessing joint maintenance shops in the Taiwanese Army using data envelopment analysis.Journal of Operations Management,22,33-245.
35. Sircar, S.,Turnbow, J. L.,Bordoloi, B.(2000).A Framework for Assessing the Relationship Between Information Technology Investments and Firm Performance.Journal of Management Information Systems,16(4),69-97.
36. Turban, B.,Mclean, E.,Wetherbe, J.(2001).Information Technolog for Management: Making Connections for Strategic Advantage.New York:
37. Ulucan, A.(2002)._ISO500 s_irketlerinin etkinliklerinin o‥lc, u‥lmesinde veri zarfiama analizi yaklas_imi: Farklt girdi c, ikti biles_enleri ve o‥lc, eg e go‥re getiri yakias_imlari lie deg erlendirmeler.A. U.‥S.B.F: Dergisi,57(2),185-202.
38. Ulucan, A.(2000).S_irket performanslarinin o‥lc, u‥lmesinde veri zarfiama analizi yaklas_imi: Genel ve sekto‥rel bazda deg erlendirmeler.HU‥_I._I.B.F. Dergisi,18(1),405-418.
39. Yahanshahloo, G. R.,Khodabakhshi, M.(2004).Suitable combination of inputs for improving outputs in IDEA with determining input congestion considering textile industry of China.Applied Mathematics and Computation,151,263-273.
40. Zhou, P.,Ang, B. W.,Poh, K. L.(2008).Measuring environmental performance under different environmental DEA technologies.Energy Economics,30,1-14.
41. Zhu, J.(2000).Multi-factor performance measure model with an application to Fortune 500 companies.European Journal of Operational Research,123,105-124.
42. 台灣資訊服務業規模分析
43. 黃志雄、黃文英、馬嘉應(2001)。企業價值之衍生性探討－以資訊服務業研究發展活動爲例。會計理論與實務研討會
44. 經濟部(2005)。2005資訊工業年鑑。
45. 蔡文雄(2005)。資訊科技投資評估與策略－賽局與實質選擇權的方法。台北:

1. 劉耀中(2012)。我國農業科技計畫績效評估方法之研究─資料包絡分析法與多屬性決策之應用比較。農業經營管理，18，17-46。