臺灣博碩士論文加值系統

隨著智慧車日益受到重視，使得智慧車的發展已成為當前各個汽車業者努力的趨勢，而智慧車關鍵的組成因素就在其提供傳統汽車所沒有的技術科技，因此智慧車技術就成為各個汽車製造廠商的競爭關鍵。當前各個汽車製造廠商在車輛發展上都扮演著主導位置，智慧車演進都以各汽車廠自身的技術為基礎而設計，但目前智慧車都以各個車廠的製造觀點下發展，失去了智慧車是為人所設計的初衷，消費者才是最終影響智慧車的關鍵因素，所以各車廠在開發智慧車時應加入消費者觀點，才能開發出更貼近原意的智慧車。故本研究將以消費者的觀點，進行探討智慧車的科技發展，透過消費者的購買意願進行檢視消費者的偏好來達到其目的，藉此提供給汽車業者或即將發展智慧車業者更多的技術開發方向。

本研究透過文獻回顧過程發展各構面的問卷，以智慧車科技發展作為自變數，並以創新採用者類型作為干擾變數，探討對應變數購買意願的影響。透過隨機抽樣方式進行網路問卷和實體問卷調查， 並採用信度分析、皮爾森相關分析以及迴歸分析等方法進行研究假說之檢定。

本研究發現智慧車的「車輛安全」、「舒適便利」和「環保節能」均對購買意願有顯著影響，其中「車輛安全」更是顯著性最高的，代表消費者其實更加看重「車輛安全」；創新採用者類型確實具有部分干擾效果，且干擾效果呈現遞減的現象。本研究亦發現消費者對「車輛安全」中的汽車碰撞、車身穩定和駕駛人安全方面有所偏重；在「舒適便利」中，消費者更注重「自動駕駛系統」；在「環保節能」中較注重「電池技術」。故本研究建議未來汽車業者若要發展智慧車技術，可從上述的觀點進行參考，希望能提供給汽車業者制定未來技術發展策略之方向。

The importance of Smart Car has become increasingly significant, the development of Smart Cars has become the current trend of the various automotive industry efforts. The key factors provide technology in the Smart Car that traditional cars do not have, so Smart Car technology has become the key to the competition of various automobile manufacturers. At present, all car manufacturers in the development of vehicles are playing a dominant position. The evolution of Smart Car is based on the technology of the automobile factory itself. But Smart Cars are following the development of a manufacturing point of each car factory, lost Smart Car is designed for people in mind. Consumers are the key to the impact of Smart Cars, so each car factory in the development of Smart Cars should join the consumer view to develop a more close to the original intention of the Smart Car. This study will discuss the technology development of Smart Car in the view of consumers, and examine consumers '' preferences to achieve their goals through consumers Purchase Intention, so as to provide more technical development direction to the automobile industry or the development of Smart Car makers.

This study was supported by the literature review process, the development of each aspect of the questionnaire as independent variables to Smart Car technology development, and Innovation Adopter Categories as interference variables to explore the corresponding variable Purchase Intention impact. Through the random sampling method, the network questionnaire and the entity questionnaire survey were carried out, and the hypotheses were verified by the methods of reliability analysis, Pearson correlation analysis and regression.

This study found that the vehicle safety, comfort and convenience and environmental protection and energy saving of Smart Car have a significant impact on Purchase Intention. The vehicle safety is the most significant, on behalf of consumers that vehicle safety is the most important. Innovation Adopter Categories have some interference effect, and the effect of interference is decreasing. The study also found that consumers have a heavy emphasis on vehicle crash, car stability and safety of drivers. In the comfort and convenience, consumers pay more attention to automatic driving system, in the environmental protection and energy-saving more emphasis on battery technology. This study suggests that the future of the automotive industry, if the development of Smart Car technology can refer to the above point of view, hoping to provide the automotive industry to develop future technology development strategy direction.

目錄
摘要 I
Abstract II
致謝詞 III
目錄 IV
圖目錄 V
表目錄 VI
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究範圍與對象 3
1.4研究流程 3
第二章 文獻探討 5
2.1智慧車科技 5
2.2創新採用者類型 19
2.3購買意願 21
第三章 研究方法 23
3.1.研究架構 23
3.2研究假說 25
3.3研究變數之操作性定義 25
3.4研究方法 30
第四章 實證研究與分析 32
4.1前測 32
4.2樣本描述統計 33
4.3平均數、標準差和信度分析 34
4.4相關性分析 40
4.5迴歸分析 40
4.6智慧車科技發展構面下的細部分析 47
4.7智慧車科技發展構面下的細部分析(創新採用者類型) 51
第五章 結論 55
5.1 研究結論 55
5.2管理意涵 57
5.3研究限制 62
5.4後續研究之建議 62
參考文獻 63
附錄：研究問卷 67

圖目錄
圖1-1：智慧車未來主導駕駛之各國支持率 2
圖1-2：研究流程圖 4
圖2-1：智慧車科技發展相關技術 9
圖3-1：研究架構圖 23
圖3-2：智慧車科技發展相關技術 24

表目錄
表2-1：傳統汽車製造商技術 14
表2-2：新興車廠汽車製造商技術 17
表2-3：IT異業車廠商汽車製造商技術 18
表3-1：智慧車科技發展量表 26
表3-2：創新採用者類型之採用者特徵量表 28
表3-3：購買意願量表 29
表4-1：前測各構面之Cronbach’s α 分析表 32
表4-2：問卷回收情況 33
表4-3：樣本描述統計表 34
表4-4：智慧車科技發展之平均數、標準差和Cronbach’s α 35
表4-5：創新採用者類型之平均數、標準差和Cronbach’s α 38
表4-6：購買意願之平均數、標準差和Cronbach’s α 39
表4-7：智慧車科技發展和購買意願之相關性分析 40
表4-8：智慧車科技發展和購買意願之ANOVA表 41
表4-9：智慧車科技發展和購買意願之迴歸分析 41
表4-10：智慧車科技發展和購買意願之ANOVA表(創新者) 42
表4-11：智慧車科技發展和購買意願之迴歸分析(創新者) 43
表4-12：智慧車科技發展和購買意願之ANOVA表(早期採用者) 43
表4-13：智慧車科技發展和購買意願之迴歸分析(早期採用者) 44
表4-14：智慧車科技發展和購買意願之ANOVA表(早期大眾) 44
表4-15：智慧車科技發展和購買意願之迴歸分析(早期大眾) 45
表4-16：智慧車科技發展和購買意願之ANOVA表(晚期大眾) 46
表4-17：智慧車科技發展和購買意願之迴歸分析(晚期大眾) 46
表4-18：智慧車科技發展和購買意願之ANOVA表(落後者) 46
表4-19：智慧車科技發展和購買意願之迴歸分析(落後者) 47
表4-20：車輛安全構面各系統和購買意願之ANOVA表 48
表4-21：車輛安全構面各系統和購買意願之迴歸分析 48
表4-22：舒適便利構面各系統和購買意願之ANOVA表 49
表4-23：舒適便利構面各系統和購買意願之迴歸分析 50
表4-24：環保節能構面各系統和購買意願之ANOVA表 50
表4-25：環保節能構面各系統和購買意願之迴歸分析 51
表4-26：車輛安全構面各系統和購買意願之迴歸分析(創新採用者類型) 52
表4-27：舒適便利構面各系統和購買意願之迴歸分析(創新採用者類型) 53
表4-28：環保節能構面各系統和購買意願之迴歸分析(創新採用者類型) 54
表4-29：不同創新採用者類型消費者對智慧車科技發展的差異 54
表5-1：研究假設驗證結果 55
表5-2：不同創新採用者類型消費者對智慧車科技發展的差異 57
表5-3：不同創新採用者類型消費者對「車輛安全」各個系統的差異 58
表5-4：不同創新採用者類型消費者對「舒適便利」各個系統的差異 60
表5-5：不同創新採用者類型消費者對「環保節能」各個系統的差異 61

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