世界正用超乎想像的速度隨著科技與技術的創新發展持續不斷的進步。在這數據化的時代，人們默默的被記錄與分析著，這些都顯示著「數據」已無所不在的圍繞在我們的身邊，來分析消費者的需求動向，因而顯示出大數據的重要性。在過去新產品開發績效文獻中發現鮮少與大數據應用做連結。因此，本研究欲探討大數據應用、需求品質及新產品開發績效彼此之間的關係，並從大數據探討需求品質對新產品開發績效之影響。
本研究採用SPSS統計軟體作為分析工具，並以便利抽樣之方式收集製造業及科技業為樣本，問卷發放時間為2017年3月至2017年4月，以線上問卷方式共回收有效問卷142份，進行分析後，研究的結果如下： 
   1. 大數據應用對需求品質有顯著正向之影響。
   2. 需求品質對新產品開發績效有顯著正向之影響。
   3. 大數據應用對新產品開發績效有顯著正向之影響。
   4. 需求品質在大數據應用與新產品開發績效之間具有中介效果。 
   5. 產品特性對大數據應用與需求品質間具有干擾效果。

The world is constantly growing along with the development of technology and innovation beyond imagination. In the digitization age, we are recorded and analyzed secretly. It indicates that we are surrounded by these data invisibly. As the result, Big Data takes an important role of realizing the tendency of customer demand. Therefore, the primary purpose of this study was to explore the application of Big Data, requirement quality and their relationship with new product development performance.
This study used SPSS statistical software to analyze data. The sample were collected from Taiwan manufacturing and high-tech industry. The data were collected from March 2017 to April 2017. A total of 142 valid questionnaires were analyzed. The results of this study are as follows：

1.Big Data has a significant positive influence on requirement quality.
2.Requirement quality has a significant positive impact on new product development performance.
3.Big Data has a significant positive influence on new product development performance.   
4.Requirement quality has mediating effect on the relationship between Big Data and new product development performance.      
Product characteristics moderate the relationship between Big Data and requirement quality.

目錄
目錄	I
表目錄	III
圖目錄	V
第一章	緒論	1
第一節	研究背景與動機	1
第二節	研究目的	3
第三節	研究範圍	3
第三節	研究流程	3
第二章	文獻探討	5
第一節	大數據應用	5
第二節	需求品質	11
第三節	新產品開發績效	14
第四節	產品特性	16
第五節	研究假設發展	18
第三章	研究方法	21
第一節	研究架構	21
第二節	研究假設	22
第三節	問卷設計	22
第四節	研究樣本來源	26
第五節	資料分析方法	26
第四章	資料分析與研究結果	30
第一節	敘述性統計	30
第二節	效度與信度分析	38
第三節	信度分析	42
第四節	相關性分析	42
第五節	迴歸分析	44
第六節	層級迴歸分析	49
第七節	產品特性之干擾效果分析	51
第八節	研究假設驗證之結果	57
第五章　結論與建議	59
第一節	研究結論	59
第二節	管理意涵	60
第三節	研究限制與建議	61
參考文獻	63
中文文獻：	63
英文文獻：	64
附錄：研究問卷	71
















表目錄
表2-1大數據決策與傳統商業智慧之比較	7
表2-2需求品質之屬性	12
表2-2需求品質之屬性 (續)	13
表3-1大數據衡量問項	23
表3-2需求品質問項	24
表3-3新產品開發績效問項	25
表3-4產品特性問項	26
表3-5專家前測之建議	27
表4-1公司所從事產業類型次數分配表	31
表4-2公司產品種類次數分配表	32
表4-3產品創新程度次數分配表	32
表4-4產品複雜度次數分配表	33
表4-5產品開發之環境不確定性程度次數分配表	33
表4-6產品總預算次數分配表	34
表4-7產品開發專案團隊人數次數分配表	34
表4-8產品開發的完成時間次數分配表	35
表4-9產品開發的持續時間次數分配表	35
表4-10工作內容次數分配表	36
表4-11職位次數分配表	36
表4-12年齡次數分配表	37
表4-13受測者教育程度次數分配表	37
表4-14各變數之Bartlett球形檢定及KMO檢定	38
表4-15大數據應用構面之因素分析表	39
表4-15大數據應用構面之因素分析表(續)	40
表4-16新產品開發績效構面之因素分析表	41
表4-17各構面之信度分析表	42
表4-18各構面之相關分析表	43
表4-19大數據應用子構面對需求品質構面之迴歸分析表	45
表4-20需求品質構面對新產品開發績效子構面之迴歸分析表	46
表4-21需求品質構面對新產品開發績效子構面之迴歸分析表	47
表4-22大數據應用子構面對新產品開發績效子構面之迴歸分析表	48
表4-23大數據應用子構面對新產品開發績效子構面之迴歸分析表	49
表4-24需求品質對大數據應用與新產品開發績效層級迴歸分析表	50
表4-25大數據應用之兩構面集群分析表	51
表4-26大數據應用與產品種類對需求品質之二因子變異數分析表	52
表4-27大數據應用與產品創新程度對需求品質之二因子變異數分析表	53
表4-28大數據應用與產品複雜度對需求品質之二因子變異數分析表	54
表4-29大數據應用與產品開發環境不確定性對需求品質二因子變異數分析表	55
表4-30大數據應用與產品總預算對需求品質之二因子變異數分析表	56
表4-31本研究假設驗證之結果	58
圖目錄
圖1-1研究流程圖	4
圖3-1研究架構	21
圖4-1產品種類對大數據應用與需求品質交互作用圖	52
圖4-2產品創新程度對大數據應用與需求品質交互作用圖	53
圖4-3產品複雜度對大數據應用與需求品質交互作用圖	54
圖4-4產品開發環境不確定性對大數據應用與需求品質交互作用圖	55
圖4-5產品總預算對大數據應用與需求品質交互作用圖	56

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