本研究以E化服務中的入口網站為研究標的，探討企業參考消費者角度，評估E化服務中入口網站的合作合適度。研究架構可分為三部分，首先利用Allee的價值網絡圖，呈現出透過合作所提供的服務傳遞給消費者的價值，藉此瞭解消費者需求；接著透過語意差量表，調查調查消費者對那些價值得重視程度與滿意度；最後利用層級分析法計算各價值的權重，再透過模糊理論計算各價值滿意度，以探討合作合適度。
    本研究以Yahoo!線上字典與Yahoo!線上音樂平台兩個案做驗證。Yahoo!目前之合作對象為Dr. eye之線上字典，本研究亦選取Google字典為比較標的。研究結果顯示使用者認為對象Dr. eye並非最合適的，應與Google合作較佳，本研究推論原因在於原本使用Google為搜尋網站之人口較Yahoo!多，因此使用Google線上字典較多，故其可能為使用者認為Yahoo!與Google合作較為合適之原因。
    而Yahoo!線上音樂平台之個案中，Yahoo!目前之合作對象為KKBOX，本研究加入目前另一知名線上音樂平台ezPeer+，讓使用者選取其認為Yahoo!線上音樂平台合適之合作對象。結果顯示，使用者認為KKBOX為最佳合作對象。雖然問卷填答者整體認為KKBOX為最佳合作對象，但若以性別分群，男女會有不同之意見，男生認為KKBOX為最佳合作對象，女生則是認為ezPeer+為最佳合作對象；以職業分群，學生與上班族亦有不同的意見，學生認為KKBOX為最佳合作對象，上班族則認為ezPeer+為最佳合作對象。可能原因為KKBOX常在網路上接觸到，而ezPeer+則是與電信業者合作，學生與男性較常在網路上自行尋找音樂平台，因此有較大機會接觸到KKBOX；上班族及女性通常會由網路以外的管道尋找音樂平台，因此接觸ezPeer+機會較大。由此可見，使用者對於Yahoo!線上音樂平台現行之合作對象是滿意的，但使用者對於KKBOX與ezPeer+兩者之歸屬程度差異並不大，因此Yahoo!應與KKBOX共同研究並持續改善服務，以提供更優質的服務給使用者。
    本研究以模糊理論為基礎透過顧客之觀點，使E化服務企業能參考消費者角度評估合作合適度，主要貢獻有下列三點：
1.	透過價值網絡，使E化服務企業瞭解其所提供之服務，必須傳遞何種價值給消費者，並進一步滿足消費者需求。
2.	本研究所提供之模式能使E化服務企業能更有效的利用有限的資源。
3.	本研究所提之模式能夠使E化服務企業落實以顧客導向為基礎之概念。

Today, service industry has become the economic core of each country. Particularly, the concept of e-service extends the business model of electronic commerce. This research investigates the alliance of e-services from customer perspective. This research utilizes the concept of Allee (2000) to construct the value network of cooperation. This study takes into account customer assessment as the basis for e-service cooperation. This work uses Fuzzy theory to estimate the feasibility of alliance by collecting customer value perception. The goals of this research are (1) using value network to present the value among e-service providers and customers, (2) utilizing Fuzzy theory to determine the score and weight for e-service cooperation, and (3) exploring the appropriateness of customer oriented e-service cooperation.
    In this study, we use two cases for validation: Yahoo! and online dictionary and Yahoo! and online music platform. In the case of online dictionary, this study selected Google online dictionary to compare with current partner (Dr. eye) of Yahoo!. The results reveal the users consider  Google online dictionary is superior to  Dr eye for further cooperation. We inferred that certain people used Google more than Yahoo! as the default search engine which results in more usage of Google online dictionary. Hence, users consider Google online dictionary is more appropriate than Yahoo! for cooperation.
     In the case of online music platform, this study selected ezPeer+ to compare with current partner (KKBOX) of Yahoo!. The results reveal the users consider  the existing partner (KKBOX) is superior. However, gender difference results in different results. For example, males preferred KKBOX and females preferred ezPeer+. In addition, students and workers have different opinions.  Students preferred KKBOX and workers preferred ezPeer+. The present research infers that KKBOX frequently  
exposed to the Internet and ezPeer+ cooperates with telecommunication operators. Students and males find music platform themselves on the internet and have more chances to contact with KKBOX. Workers and females  frequently inquire other people to find music platform which is a chance of exposure to ezPeer+. 
    In summary, this research investigates the alliance of e-services from customer perspective by using value network and fuzzy theory. The major contributions are:
1.	E-service companies recognize the value of e-services  they provided From value network.
2.	The E-service companies can utilize resources efficiently for cooperation.
3.	E-service companies can take into account customer perspective to estimate the feasibilityof alliance.

目錄
目錄	I
表次	II
圖次	IV
第一章 緒論	1
第一節 研究背景	1
第二節 研究動機	4
第三節 研究問題與目的	7
第四節 研究流程	10
第二章 文獻探討	13
第一節 E化服務	13
第二節 價值網絡(Value Network)	18
第三節 模糊理論(Fuzzy Theory)	22
第三章 研究方法	28
第一節 研究架構	28
第二節 模糊理論	31
第三節 價值網絡	40
第四章 個案探討─Yahoo!與線上字典	43
第一節 問卷設計	43
第二節 信度分析與敘述性統計	46
第三節 資料分析	50
第四節 小結	57
第五章 個案探討─Yahoo!與線上音樂平台	60
第一節 問卷設計	60
第二節 信度分析與敘述統計	62
第三節 資料分析	67
第四節 小結	74
第六章 結論	76
第一節 研究結論	76
第二節 管理意涵	79
第三節 研究限制	82
參考文獻	84
附錄一	90
附錄二	95

表次
表2-1 各學者E化服務之研究範疇	17
表2-2 價值交換	20
表2-3 各學者對價值網絡之概念	21
表2-4 MODM與MADM比較表	24
表2-5 MADM主要方法整理	25
表2-6 模糊理論各學者之概念	26
表3-1 符號涵義	32
表3-2 評估尺度定義及說明	33
表3-3 隨機指標值R.I.	35
表3-4 單一準則語意量表評估尺度	36
表4-1 Yahoo!線上字典合作和適度主準則之倒數矩陣與權重	47
表4-2 可靠性子準則之倒數矩陣與權重	47
表4-3方便性子準則之倒數矩陣與權重	47
表4-4語言學習子準則之倒數矩陣與權重	48
表4-5 觀察值處理摘要	48
表4-6 可靠性統計量	48
表4-7 符號涵義	51
表4-8 Yahoo!與Dr. eye可靠性之模糊滿意度	51
表4-9 Yahoo!與Google可靠性之模糊滿意度	51
表4-10 Yahoo!與Dr. eye方便性之模糊滿意度	52
表4-11 Yahoo!與Google方便性之模糊滿意度	52
表4-12 Yahoo!與Dr. eye語言學習之模糊滿意度	53
表4-13 Yahoo!與Google語言學習之模糊滿意度	53
表4-14 使用人次前五名之網站公司	55
表4-15 男性與女性對Yahoo!與Dr. eye合作各評估主準則模糊滿意度	55
表4-16男性與女性對Yahoo!與Google合作各評估主準則模糊滿意度	55
表4-17 乘上權重後男性與女性之各評判標準之歸屬函數及最終決策函數	56
表4-18 大學與研究所對Yahoo!與Dr. eye合作各評估主準則模糊滿意度	56
表4-19 大學與研究所對Yahoo!與Google合作各評估主準則模糊滿意度	56
表4-20 乘上權重後大學與研究所之各評判標準之歸屬函數及最終決策函數	57
表5-1 Yahoo!線上音樂平台合作和適度主準則之倒數矩陣與權重	63
表5-2 網頁內容品質子準則之倒數矩陣與權重	63
表5-3  E化服務品質子準則之倒數矩陣與權重	64
表5-4 觀察值處理摘要	64
表5-5 可靠性統計量	65
表5-6 符號涵義	67
表5-7 服務提供者之可靠性之模糊滿意度	67
表5-8 Yahoo!與KKBOX網頁內容品質之模糊滿意度	68
表5-9 Yahoo!與ezPeer+網頁內容品質之模糊滿意度	68
表5-10 Yahoo!與KKBOX  E化服務品質之模糊滿意度	69
表5-11 Yahoo!與ezPeer+  E化服務品質之模糊滿意度	69
表5-12 男性與女性對Yahoo!與KKBOX合作各評估準則之模糊滿意度	70
表5-13 男性與女性對Yahoo!與ezPeer+合作各評估準則之模糊滿意度	71
表5-14乘上權重後男性與女性之各評判標準之歸屬函數及最終決策函數	72
表5-15 學生與上班族對Yahoo!與KKBOX合作各評估準則之模糊滿意度	72
表5-16 學生與上班族對Yahoo!與ezPeer+合作各評估準則之模糊滿意度	72
表5-17乘上權重後學生與上班族之各評判標準之歸屬函數及最終決策函數	73

 
圖次
圖1-1 2010年各國服務業占GDP比率	1
圖1-2 全球網路使用人數	2
圖1-3 研究流程	12
圖2-1 電子商務與E化服務的不同	13
圖2-2 E化服務分類	15
圖2-3 價值網絡圖	19
圖2-4 價值交換圖	20
圖3-1 研究架構	30
圖3-2 三角模糊數之歸屬函數	36
圖3-3 價值網絡圖	41
圖4-1 Yahoo!線上字典價值網絡圖	43
圖4-2 Yahoo!與各線上字典的合作合適度之評估準則	45
圖4-3問卷填答者年齡比例	49
圖4-4問卷填答者職業分佈	50
圖4-5 問卷填答者居住地區	50
圖5-1 Yahoo!線上音樂平台價值網絡圖	60
圖5-2 Yahoo!與各線上音樂平台之合作合適度之評估準則	61
圖5-3 填答者年齡分布	65
圖5-4 填答者職業分佈圖	66
圖5-5 填答者居住地區	66
圖5-6 填答者是否使用過付費版線上音樂平台比例	66

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