淡江大學覺生紀念圖書館 (TKU Library)
進階搜尋


  查詢圖書館館藏目錄
系統識別號 U0002-2606201413565000
中文論文名稱 使用ELECTRE III法評選智慧型手機選購最佳方案
英文論文名稱 he Optimization Selection for Smart Phones Using ELECTRE III Method
校院名稱 淡江大學
系所名稱(中) 管理科學學系碩士班
系所名稱(英) Master’s Program, Department of Management Sciences
學年度 102
學期 2
出版年 103
研究生中文姓名 陳伯穎
研究生英文姓名 Po-Ying Chen
學號 600620362
學位類別 碩士
語文別 中文
口試日期 2014-06-24
論文頁數 59頁
口試委員 指導教授-曹銳勤
委員-傅敬群
委員-陳怡妃
中文關鍵字 智慧型手機  ELECTRE III法  Kano二維品質模式 
英文關鍵字 Smart Phones  ELECTRE III  Kano model 
學科別分類
中文摘要 近年來隨著移動通訊的發展,智慧型手機成為全球最多人使用的移動通訊設備,為了應付不同領域消費者的需求,各家智慧型手機廠商不斷推出新一代智慧型手機,並在相關應用領域也不斷地改善與創新,使智慧型手機更能融入消費者的日常生活之中。不只智慧型手機產量逐年成長,智慧型手機的使用者也逐年增加,代表著手機使用者中選用智慧型手機的消費者越來越多。面對產品種類多元的智慧型手機市場,消費者如何選擇適合自己的智慧型手機已成為主要課題。針對此議題,本研究利用多屬性決策ELECTRE III法為基礎,並且融入Kano二維品質模式對於原ELECTRE III法進行修正後,建構出以消費者為主,應用於購買智慧型手機的決策模型。透過專家問卷收集智慧型手機在不同準則下之表現績效後,使用原ELECTRE III法與修正後ELECTRE III法進行分析評比,最後在比較此兩種方法結果之差異。結果顯示,修正後ELECTRE III法更清楚反應消費者心中各評比方案詳細的優劣排序。
英文摘要 Along with the rapid development of mobile communications, smart phones have become the most popular tool as a means to communicate. Thus, new smart phones have been constantly developed and introduced to cater to the needs of different groups of costumers with ever improved and innovative applications. The aim has been to create a device that the customer would find useful and indispensable in every day life. With the striking growth in the numbers of mobile phones and their users year by year, it has become increasingly vital for the customer to know how to select the right smart phone among a wide variety of choices.
The purpose of this thesis is to develop a smartphone selection procedure for the prospective users, which is achieved by the improved ELECTRE III method with the incorporation of Kano. In the essay, it further uses and scrutinizes the results of the questionnaires designed by the experts. With the application of the initial ELECTRE III and the improved ELECTRE III methods, we can see a great number of differences in the same results of the surveys. In conclusion, it is evident that the improved ELECTRE III method reflects more clearly the outranking relations among each alternative for the prospective users.
論文目次 目錄
第一章 緒論 1
1.1研究背景 1
1.2研究動機與目的 3
1.3 研究流程與架構 5
第二章 文獻回顧 6
2.1智慧型手機 6
2.1.1智慧型手機定義 6
2.1.2智慧型手機作業系統 7
2.1.3台灣智慧型手機市場 9
2.1.3.1台灣智慧型手機持有率 10
2.1.3.2台灣主要智慧型手機品牌 10
2.2 Kano二維品質理論 11
2.2.1雙因子理論 11
2.2.2Kano二維品質 12
2.3 ELECTRE III方法 15
2.3.1 ELECTRE法概述 15
2.3.2 ELECTRE III方法 15
2.3.3 ELECTRE III法步驟 16
第三章 研究方法 20
3.1 ELECTRE III方法的修正 20
3.1.1滿意度指標之修正 21
3.1.2不滿意度指標修正 23
3.2修正後ELECTRE III法演算步驟 24
3.2.1 求得滿意度指標 24
3.2.2求得不滿意度指標 25
3.2.3建立可靠度指標 25
3.2.4方案排序 25
3.2.4.1下降排序 26
3.2.4.2上升排序步驟 28
3.2.5 最後總排序 28
第四章 實證研究與分析 30
4.1資料收集 30
4.1.1評選準則 30
4.1.2手機方案分組 31
4.1.3統計結果 33
4.2修正模型分析 37
4.2.1可靠度矩陣 37
4.2.2 修正後模型方案排序 39
4.3原版模型分析 44
第五章 結論與建議 47
5.1研究結論 47
5.2研究限制與建議 48
參考文獻 50
附錄 手機評分問卷 55




表目錄
表1-1 2010-2013全球智慧型手機出貨量 2
表2-1全球智慧型手機作業系統市占率 8
表2-2台灣智慧型手機品牌市占率 10
表4-1手機評比準則與權重 30
表4-2旗艦機方案組別 31
表4-3螢幕尺寸方案 32
表4-4手機價位方案 33
表4-5旗艦機方案績效 34
表4-6螢幕尺寸方案績效 35
表4-7手機價位方案績效 36
表4-8修正後旗艦機方案之可靠度矩陣 37
表4-9修正後螢幕尺寸方案之可靠度矩陣 38
表4-10修正後手機價位方案之可靠度矩陣 38
表4-11修正後旗艦機方案總排序矩陣 42
表4-12原版旗艦機方案可靠度矩陣 44
表4-13原版螢幕尺寸方案可靠度矩陣 45
表4-14原版手機價位方案可靠度矩陣 45


圖目錄
圖1-1 2012-2017全球智慧型手機用戶數預估 3
圖1-2研究流程 5
圖2-1雙因子理論 11
圖2-2 Kano品質理論模式 13
圖2-3 ELECTRE III法步驟 16
圖2-4 ELECTRE III法之滿意度(a)與不滿意度(b)指標 18
圖3-1修正後滿意度指標 23
圖3-2修正後不滿意度指標 24
圖4-1修正後旗艦機方案之上升與下降排序 41
圖4-2修正後旗艦機方案總排序 42
圖4-3修正後方案總排序 43
圖4-4原版方案總排序 46


參考文獻 參考文獻
中文文獻
1.李允中,王小璠,蘇木春,(2003),模糊理論及其應用,全華科技。
2.陳胤橙,(2013),動態SMART決策分析-以智慧型手機選購為例,淡江大學管理科學研究所碩士論文。

英文文獻
1.Andrews, L., Drennan, J., & Russell-Bennett, R. (2012). Linking perceived value ofmobile marketing with the experiential consumption of mobile phones. European Journal of Marketing, 46(3/4), 357–386.
2.Benayoun, R., Roy, B., & Sussman, N. (1966). Manual de Reference du Programme Electre. Note de Synthese et Formation. 25. Paris: Direction Scientifique SEMA.
3.Best, J., 2006. Analysis: What is a Smart Phone? Good question. CBS Interactive.
4.Chan, A., Junglas, I., Pitt, F., Parent, M., & Spyropoulou, S. (2011). Integrating the smartphone into a sound environmental information systems strategy: Principles, practices and a research agenda. Journal of Strategic Information Systems, 20(1), 27-37.
5.Chhablani, J., Kaja, S., & Shah, V. A. (2012). Smartphones in ophthalmology. Indian Journal of Ophthalmology, 60(2), 127–131.
6.Cho, Y. C., & Jeon, J. W. (2007). Current software platforms on mobile phone. Paper presented at the Control, Automation and Systems, ICCAS'07. International Conference on e on Control, Automation and Systems. Seoul, 1862-1867.
7.Herzberg, F. B. & Snyderman, B. (1959). “The Motivation to Work,” New York, John Willey & Sons,72-74.
8.Hokkanen, J., & Salminen, P. (1997). Choosing a soild waste management system using multicriteria decision analysis. European Journal of Operation Research, 98(18), 19-36.
9.Hu, S. K., Lu, M. T., & Tzeng, G. H. (2014). Exploring smart phone improvements based on a hybrid MCDM model.Expert Systems with Applications, 41(9), 4401–4413.
10.Kano, N., Seraku, N., Takahashi, F., Tsuji, S.(1984). Attractive quality and must-be quality. Hinshitsu (Quality, Journal of Japanese Society for Quality Control) 14, 39–48.
11.Kim, J., Lee, S., Ahn, H., Seo, D., Seo, D., Lee, J., & Choi, C. (2013). Accuracy evaluation of a smartphone-based technology for coastal monitoring. Measurement, 46(1), 233-248.
12.Koch, S., & Kerschbaum, M. (2014). Joining a smartphone ecosystem: Application developers’ motivationsand decision criteria. Information and Software Technology. Online publication date: 1-Apr-2014.
13.Lin, S. P., Yang, C. L., Chan, Y. H., & Sheu, C., (2010). Refining Kano’s ‘quality attributes–satisfaction’ model: A moderated regression approach. Int. J. Production Economics, 126(2), 255–263.
14.Liu, C. J., & Liang, H. Y. (2014). The Deep Impression of Smartphone Brand on the Customers Decision Making. Procedia - Social and Behavioral Sciences ,338 – 343.
15.Malykhina, E. (2007). Analysis: How Smartphone Platforms Compare: Business-technology buyer’s guide to the BlackBerry, Linux , Mac OS X, Palm, Symbian and Windows Mobile platforms, InformationWeek.
16.Maystre, L. Y., Pictet, J., & Simos, J. (1994). Lausanne,Switzerland: Presses PolytechniquesetUniversitairesRomandes
17.Merritt, R., (2010). En Garde! MEMS gyros penetrate smartphones, EETimes Europe.
18.Oliver, S., (2010). Apple’s iPhone market share three times greater than Android in US, AppleInsider.
19.Oulasvirta, E., Raita, E., Ma, L., & Rattenbury, T. (2012). Habits make smartphone use more pervasive. Personal and Ubiquitous Computing, 16(1), 105-114.
20.Papadopoulos, A., & Karagiannidis, A. (2008). Application of the multi-criteria analysis method Electre III for theoptimisation of decentralised energy systems.Omega, 36(5), 766 – 776.
21.Rogers, M., & Bruen, M. (2000). Using ELECTRE III to choose route for Dublin port motorway. Journal of Transportation Engineering , 126 (4), 313-323.
22.Roy, B. (1978). ELECTRE III: Un algorithme de classements fonde sur une representation floue des preferences en preferences en presence de criteres multiples. Cahiers de CERO , 20 (1), 3-24.
23.Roy, B. (1991). The outranking approach and the foundation of ELECTRE methods. Theory and Decision , 31,49-73.
24.Thompson, C., Turner, H., Dougherty, B., & Schmidt, D. (2011). WreckWatch:Automatic traffic accident detection and notification with smartphones.Mobile Networks & Applications, 16(3), 285–303.

論文使用權限
  • 同意紙本無償授權給館內讀者為學術之目的重製使用,於2014-07-02公開。
  • 同意授權瀏覽/列印電子全文服務,於2019-07-02起公開。


  • 若您有任何疑問,請與我們聯絡!
    圖書館: 請來電 (02)2621-5656 轉 2281 或 來信