由於全球化的競爭，要如何能將日常經營過程中的大量資料，將它們轉化為資訊和知識，以提供企業重大決策之參考已非常重要。然而，過去的IT技術所給予的支援卻跟不上腳步。因此，為了即時掌握與滿足客戶需求、提高市場佔有率、增強競爭力，便透過商業智慧（Business Intelligence, BI）來協助企業建立完善的決策輔助及資訊擷取的機制就愈顯得重要。使得商業智慧的發展頓時成為熱門的研究話題，但目前對於商業智慧的研究多著重在技術面、產業面、及策略面，在使用者層面鮮少有相關研究。
且實現策略的是人，與系統進行互動的也是人，人是驅動企業目標及流程的主要動力，若使用者不願接受及使用系統，則無法將此系統的效益確實發揮。因此本研究主要以整合型科技接受與使用模式（Unified Theory of Acceptance and Use of Technology, UTAUT）（Venkatesh et al., 2003）來探討使用者對於BI系統的使用意向。透過文獻的收集與整理，採用網路問卷的方式對企業員工發放，結果發現：
1.績效期望與努力期望會正向影響使用者使用BI系統的意圖，而使用意圖會正向影響實際使用。其中，以績效期望的影響程度最為顯著。
2.使用者對BI系統的績效期望會受到性別、年齡、經驗、自願性、教育程度、以及目前職務等控制變數的干擾而影響使用意圖；
3.使用者對BI系統的努力期望會受到教育程度的干擾而影響使用意圖；
4.使用者對BI系統的社群影響會受到性別、經驗、教育程度等控制變數的干擾而影響使用意圖；
5.促成因素不會受到任何的控制變數而影響實際使用BI系統的行為。

Due to global competition, how to transfer business operations data into useful information and knowledge to support business decision-making has become very important for enterprises. That IT can’t keep up with the business need in the past has totally changed. Therefore, in order to satisfy customer requirement, increase market share, and strengthen the competitiveness of an enterprise, it is important for enterprises to utilize business intelligence (BI) to support business in making effective decisions and build up a mechanism that captures critical information. This makes BI an important research topic, but most of the research that have been done are concerned with the technical, industrial and strategic perspectives, few research has done to investigate the BI usages from the perspective of BI users.
Employees make business strategy realized within an organization. They interact with information systems. They are the primary forces to execute business processes and drive the enterprise to achieve goals. If they do not accept and use the information technology, the enterprise cannot obtain any benefit through BI. Thus, this research is based on integrating Unified Theory of Acceptance and Use of Technology (Venkatesh et al., 2003）to investigate the users’ intention to adopt BI systems. Through the process of literature review, research model development and a survey of current users of BI systems, the research results are listed as follows:
1.Performance expectancy and effort expectancy both have significant positive influences on behavioral intention; this will, in turn, influence usage behavior. And the influence of performance expectancy will be stronger.
2.The influence of performance expectancy on behavior intention would be moderated by genders, age, experience, voluntariness, education and position. 
3.The influence of effort expectancy on behavior intention would be moderated by education.
4.The influence of social influence on behavior intention would be moderated by genders, experience and education.
5.The influence of facilitating conditions on behavior intention would not be moderated by any variable.

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的與研究貢獻 4
第四節 論文架構與研究流程 5
第二章 文獻探討  7
第一節 商業智慧  7
第二節 整合的科技接受與使用模式 21
第三章 研究方法 43
第一節 研究架構 43
第二節 各變數之操作性定義 44
第三節 研究假說 48
第四節 樣本選擇與問卷進行方式 51
第五節 資料分析方法與工具 60
第四章 資料分析與討論 63
第一節 敘述性統計分析 63
第二節 信效度分析 66
第三節 相關分析 68
第四節 假說驗證 69
第五節 假說驗證結果 82
第五章 結論與建議 86
第一節 研究結論與發現 86
第二節 研究限制 89
第三節 研究建議 90
參考文獻 91
一、中文部份 91
二、英文部份 92
三、網站部份 97
附錄一 正式問卷 98

圖目錄
圖1-1　亞太地區對使用者查詢、報表與分析軟體、資料探勘工具之需求		2
圖1-2　亞太地區的不同產業結構對BI之需求	3
圖1-3　研究流程圖	6
圖2-1　商慧智慧的架構	11
圖2-2　企業策略與商業智慧之關係	15
圖2-3　使用者接受模式的基本概念	21
圖2-4　理性行為理論（TRA）	23
圖2-5　科技接受模式（TAM）	24
圖2-6　科技接受模式的延伸（TAM2）	26
圖2-7　動機模式（MM）	27
圖2-8　計畫行為理論（TPB）	29
圖2-9　解構計畫行為理論（DTPB）	30
圖2-10 計畫行為理論與科技接受模式結合模式（C-TAM-TPB）	30
圖2-11 TRIANDIS人際行為模式主要部份	32
圖2-12 個人電腦使用模式（MPCU）	32
圖2-13 社會認知理論架構（SCT）	36
圖2-14 科技接受之社會認知理論應用模式	38
圖2-15 整合的科技接受與使用模式（UTAUT）	39
圖3-1　研究架構	43
圖3-2　CONGNOS BI 架構圖	56
圖3-3　BUSINESS OBJECTS企業資訊管理架構圖	57
圖3-4　INFORMATION BUILDERS功能架構圖	58
圖4-1　不考慮控制變數的路徑關係	71

表目錄
表2-1　商業智慧的定義	7
表3-1　研究模式中變數之操作性定義	47
表3-2　轉軸後的成份矩陣	52
表3-3　轉軸後的成份矩陣	53
表3-4　前測之信度分析	54
表3-5　商業智慧產品特色比較	59
表4-1　樣本分佈資料統計表	64
表4-2　KMO統計量的判斷原理表	66
表4-3　轉軸後的成份矩陣	67
表4-4　主要構面間相關係數	68
表4-5　使用意圖、促成因素與實際使用BI系統的相關係數	69
表4-6　各因素對使用意圖之多元迴歸分析	70
表4-7　使用意圖、促成因素對實際使用之多元迴歸分析	71
表4-8　不同性別對各構面之差異性分析表	72
表4-9　不同性別與三個外部變數對使用意圖之迴歸分析	72
表4-10 不同性別與促成因素對實際使用之迴歸分析	73
表4-11 不同年齡層對各構面之差異性分析表	74
表4-12 不同年齡層與三個外部變數對使用意圖之迴歸分析	74
表4-13 不同年齡層與促成因素對實際使用之迴歸分析	75
表4-14 不同經驗層對各構面之差異性分析表	76
表4-15 不同經驗層與三個外部變數對使用意圖之迴歸分析	76
表4-16 不同經驗層與促成因素對實際使用之迴歸分析	77
表4-17 自願性對各構面之差異性分析表	77
表4-18 自願性與三個外部變數對使用意圖之迴歸分析	78
表4-19 自願性與促成因素對實際使用之迴歸分析	78
表4-20 不同教育程度對各構面之差異性分析表	79
表4-21 不同教育程度與三個外部變數對使用意圖之迴歸分析	79
表4-22 不同教育程度與促成因素對實際使用之迴歸分析	80
表4-23 不同職務對各構面之差異性分析表	81
表4-24 不同職務與三個外部變數對使用意圖之迴歸分析	81
表4-25 不同職務與促成因素對實際使用之迴歸分析	81
表4-26 研究假說驗證結果	82
表5-1　控制變數與三個外部變數對使用意圖之影響	88
表5-2　控制變數與促成因素對實際行為之影響	88

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三、網站部份
1.BusinessObjects, http://www.taiwan.businessobjects.com/
2.Gartner Group, www.gartner.com
3.Ovum, www.ovum.com 
4.漢康科技，http://bi.fast.com.tw/，2001
5.叡揚資訊，http://www.gss.com.tw/zh-tw/products/IBI/WFS.htm