臺灣博碩士論文加值系統

　　台灣的許多企業需要導入資訊系統以提升其競爭力，然而企業導入資訊系統會遇到行政人員排斥、高昂的導入成本、導入時間冗長等問題，而企業導入資訊系統有各種資訊系統導入專案可供選擇，不同的資訊系統導入專案對企業而言所需花費的成本、導入時間會有所差異，而企業本身亦需對各種資訊系統導入專案進行評估，以選出對企業有利的資訊系統導入專案。
　　本研究主要目的是使用應用多準則評估技術進行專案評選之研究，並以台灣某知名鞋類製造廠為研究標的，為其設計4種資訊系統導入專案，分別為一次性導入資訊系統專案、單純導入服務端資訊系統功能專案、單純導入製造端資訊系統功能專案和漸進導入資訊系統專案；本研究會調查8位專家的意見，並使用李科特七點量表和逼近理想解排序法等研究方法進行資訊系統導入專案優劣排序且研究結果顯示，衡量資訊系統導入專案時評估準則的重要性排序為1資訊系統專案效用2專案執行成本3資訊系統專案功能性4專案執行時間5資訊系統專案易用性6專案執行科技可行性7資訊系統專案穩定度8專案執行風險；資訊系統導入專案的優劣排序為一次性導入資訊系統專案、單純導入製造端資訊系統功能專案、單純導入服務端資訊系統功能專案、漸進導入資訊系統專案。

Many enterprises need to set up information system to promote their competitive ability. The enterprise will face problem about employee does not want to use new information system, high set up cost, high building timw. There are many kind of model can building a new information system. Each model will generate different kind of time and cost when enterprise build information system based on this model. Enterprise should evaluate each model and select the most benefit model for the enterprise to set up information system.
The main goal of this research is to use multi criteria information evaluation technology to evaluate and select the information system building project. We use one of Taiwan famous shoe manufacture enterprise as research target. This research designs for four kinds of information system building project for this enterprise to select. The project includes All function executing simultaneously project, Only executing service function project, All function executing simultaneously with the manually operation process project, Only executing manufacture function project. We will investigate eight relative person and experts for acquiring their opinion. The research method includes 7 points likert scale and TOPSIS method. Above methods will be used to rank 4 information system building projects. According to research result, the importance sequence of criteria is (1) utility of information system project, (2) project execution cost, (3) function of information system project, (4) information system project execution time, (5) usefulness of information system project, (6) technology possibility of information system project, (7) steadiness of information system project and (8) risk in information system project. The rank of information system building project is (1) All function executing simultaneously project, (2) Only executing manufacture function project, (3) Only executing service function project, (4) All function executing simultaneously with the manually operation process project.

中文摘要 iii
ABSTRACT iv
誌謝 v
目錄 vi
圖目錄 viii
表目錄 ix
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 2
1.3 研究方法 2
1.4 研究流程 2
1.5研究對象 5
第二章 文獻回顧 6
2.1 資訊系統導入對台灣企業的重要性 6
2.2 資訊專案評選的評估準則 7
2.3 專案評選的多準則評估方法 11
第三章 研究方法 15
3.1 李科特七點量表 15
3.2 逼近理想解排序法 15
第四章 個案研究 22
4.1 問題說明 22
4.2 專家問卷設計 22
4.3評估結果 24
4.4 研究討論 31
第五章 結論與建議 33
5.1 研究結論 33
5.2 研究限制 33
5.3 未來研究建議 34
參考文獻 36
附錄一 資訊系統導入專案評估準則重要性問卷調查 40
附錄二 資訊系統導入專案績效問卷 42

一、中文部份
1.王小璠(2006)。多準則決策分析。臺北市：滄海書局。
2.李允中、王小璠、蘇木春（2003）。模糊理論與應用。臺北市：全華科技圖書股份有限公司。
3.沈明來（2009）。資料分析與SPSS應用。臺北市：九州圖書總經銷公司。
4.周庭銳（2001）。專案管理。臺北市：華泰出版社。
5.洪鈴楨（2009）。應用資料包絡分析法發展新產品開發專案評選模式。臺北科技大學工業工程與管理研究所碩士論文。
6.張簡復中（2015）。供應鏈管理。臺北市：新文京開發出版股份有限公司。
7.徐茂練（2016）。顧客關係管理。臺北市：全華圖書出版社。
8.黃國興（2011）。研發專案評選之複合式多準則決策方法:以軟性電子設備開發為案例。國際經營管理研究所碩士在職專班碩士論文。
9.許文娜（2007）。從資訊系統導入的觀點分析客服系統之評選架構-以某壽險公司資訊系統專案為例。銘傳大學管理研究所碩士在職專班碩士論文。
10.楊政學（2016）。研究方法。臺北市：普林斯頓國際出版社。
11.楊金福（2003）。企業資源規劃ERP理論與實務。臺北市：滄海出版社。
12.戴朝書（2010）。六標準差專案評選準則之研究。國立高雄第一科技大學企業管理研究所碩士論文。
二、英文部份
1.Amiri, M. P. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(9), 6218-6224.
2.Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J. P., & Rodríguez-Pozo, F. (2010). An ANP-based approach for the selection of photovoltaic solar power plant investment projects. Renewable and Sustainable Energy Reviews, 14(1), 249-264.
3.Bhattacharyya, R. (2015). A Grey Theory Based Multiple Attribute Approach for R&D Project Portfolio Selection. Fuzzy Information and Engineering, 7(2), 211-225.
4.Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.
5.Chang, P. T., & Lee, J. H. (2012). A fuzzy DEA and knapsack formulation integrated model for project selection. Computers & Operations Research,39(1), 112-125.
6.Chen, C. T. (2002). A decision model for information system project selection. IEEE International Engineering Management Conference, 2, 585-589.
7.Costantino, F., Di Gravio, G., & Nonino, F. (2015). Project selection in project portfolio management: An artificial neural network model based on critical success factors. International Journal of Project Management.
8.Dağdeviren, M., Yavuz, S., & Kılınç, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), 8143-8151.
9.Daneshvar Rouyendegh, B., & Erol, S. (2012). Selecting the best project using the fuzzy ELECTRE method. Mathematical Problems in Engineering, 2012.
10.Deckro, R. F., Hebert, J. E., Verdini, W. A., Grimsrud, P. H., & Venkateshwar, S. (1995). Nonlinear time/cost tradeoff models in project management. Computers & Industrial Engineering, 28(2), 219-229.
11.Guo, J. (2013). Hybrid multicriteria group decision making method for information system project selection based on intuitionistic fuzzy theory. Mathematical Problems in Engineering, 2013.
12.Halouani, N., Chabchoub, H., & Martel, J. M. (2009). PROMETHEE-MD-2T method for project selection. European Journal of Operational Research,195(3), 841-849.
13.Hwang, C.L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, New York.
14.Janis, I. L., & Mann, L. (1977). Decision making: A psychological analysis of conflict, choice, and commitment. Free Press.
15.Jiang, J. J., & Klein, G. (1999). Information system project-selection criteria variations within strategic classes. IEEE Transactions on Engineering Management, 46(2), 171-176.
16.Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, F. H., & Tavana, M. (2013). A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection. Information Sciences, 220, 442-462.
17.Lee, J. W., & Kim, S. H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research, 27(4), 367-382.
18.Lee, J. W., & Kim, S. H. (2001). An integrated approach for interdependent information system project selection. International Journal of Project Management, 19(2), 111-118.
19.Liang, C., & Li, Q. (2008). Enterprise information system project selection with regard to BOCR. International Journal of Project Management, 26(8), 810-820.
20.Önüt, S., Soner Kara, S., & Efendigil, T. (2008). A hybrid fuzzy MCDM approach to machine tool selection. Journal of Intelligent Manufacturing, 19(4), 443-453.
21.Öztaysi, B. (2015). A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection. Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.
22.Pai, P. F., Chen, C. T., & Hung, W. Z. (2014). Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology. International Journal of Information Technology & Decision Making, 13(02), 291-315.
23.San Cristóbal, J. R. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.
24.Tavana, M., Keramatpour, M., Santos-Arteaga, F. J., & Ghorbaniane, E. (2015). A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming. Expert Systems with Applications, 42(22), 8432-8444.
25.Triantaphyllou, E. (2013). Multi-criteria decision making methods: a comparative study (Vol. 44). Springer Science & Business Media.
26.Wang, Y. M., & Elhag, T. M. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert systems with applications, 31(2), 309-319.
27.Wei, C. C., Chien, C. F., & Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International journal of production economics, 96(1), 47-62.