在貿易戰、全球疫情促使下，國內企業重新思考對外投資策略的風險分散和對內產線作業的智能優化，其中將近似於人類行為思考模式的「智能」技術導入，對企業本身而言，於上是能輔助決策者有更佳理性、客觀及精準的決斷，於下是能協助產線擁有更優質的效率、效能及產品良率，使得企業在這波全球板塊大挪移成功防守，甚至轉守為攻化危機為轉機，鞏固企業於市場上之地位。因此，本研究欲探究人工智慧技術應用、需求品質及新產品開發績效彼此之間的關係，並以人工智慧為焦點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，以便利抽樣之方式收集台灣製造及科技產業為樣本，作為研究對象來進行實證分析。並以因素分析、信度分析、層級迴歸、干擾效果分析等方法進行分析。問卷發放期間為2020年2月至2020年3月，共計發放111份問卷，最終回收之有效問卷為102份。
這項研究的結果如下： 
   1. 人工智慧技術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. 人工智慧技術應用對新產品開發績效有顯著正向之影響。
   4. 需求品質在人工智慧技術應用與新產品開發績效之間具有部分中介效果。 
   5. 產品特性對需求品質與新產品開發績效間具有部分干擾效果。

Driven by the trade war and the global epidemic, domestic companies are rethinking the risk diversification of foreign investment strategies and the intelligent optimization of domestic production line operations. Among them, the introduction of "smart" technology that is similar to the human behavior thinking model. The above can help decision makers to have better rational, objective and accurate decisions, and the next can help the production line to have better quality efficiency, efficiency and product yield, so that the company can successfully defend in this wave of global sector migration, even Turning the defense into an attack will turn the crisis into an opportunity to consolidate the company's position in the market. Therefore, this study intends to explore the relationship between the application of artificial intelligence technology, demand quality and new product development performance, and discuss the impact of demand quality on new product development performance with artificial intelligence as the focus.
This study uses SPSS statistical software as an analytical tool to collect samples from Taiwan's manufacturing and science and technology industries by way of facilitating sampling, and to conduct empirical analysis as a research object. And factor analysis, credibility analysis, hierarchical regression, interference effect analysis and other methods. A total of 111 questionnaires were distributed between February 2020 and March 2020, with 102 valid questionnaires eventually recovered.
1.	The application of artificial intelligence technology has a significant positive impact on demand quality.
2.	Demand quality has a significant positive effect on new product development performance.
3.The application of artificial intelligence technology has a significant positive impact on new product development performance.
4.Demand quality has a partial intermediary effect between the application of artificial intelligence technology and the performance of new product development.
5.Product characteristics have a partial interference effect between demand quality and new product development performance.

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	5
第三節　研究範圍	7
第四節　研究流程	7
第二章  文獻探討	8
第一節  人工智慧技術應用	9
第二節	需求品質	17
第三節	新產品開發績效	19
第四節	產品特性	22
第五節	研究假設發展	24
第三章   研究方法	27
第一節	研究架構	27
第二節	研究假設	28
第三節	問卷設計	28
第四節	研究樣本	34
第五節	資料分析方法	34
第四章	 資料分析與研究結果	38
第一節	敘述性統計	38
第二節	效度與信度分析	47
第三節	信度分析	53
第四節	相關性分析	54
第五節	迴歸分析	57
第六節	層級迴歸分析	64
第七節	產品特性之干擾效果分析	66
第八節	研究假設驗證之結果	72
第五章　 結論與建議	73
第一節　 研究結論	73
第二節　 管理意涵	75
第三節　 研究限制與建議	77
參考文獻	79
中文文獻	79
英文文獻	80
附錄：研究問卷	86

表2-1人工智慧之定義	14
表2-2需求品質之屬性	17
表3-1人工智慧技術應用衡量問項	29
表3-2需求品質問項	31
表3-3新產品開發績效問項	32
表3-4產品特性問項	33
表3-5前測專家之建議	35
表4-1公司產品所屬類型次數分配表	39
表4-2公司產品種類次數分配表	40
表4-3產品創新程度次數分配表	40
表4-4產品複雜度次數分配表	41
表4-5產品開發之環境不確定性程度次數分配表	41
表4-6產品總預算次數分配表	42
表4-7產品開發專案團隊人數次數分配表	42
表4-8產品開發的完成時間次數分配表	43
表4-9產品開發的持續時間次數分配表	43
表4-10工作內容次數分配表	44
表4-11公司所屬產業類型次數分配表	45
表4-12職位次數分配表	46
表4-13年齡次數分配表	46
表4-14受測者教育程度次數分配表	47
表4-15各變數之Bartlett球形檢定及KMO檢定	48
表4-16人工智慧技術應用構面之因素分析表	49
表4-17需求品質構面之因素分析表	51
表4-18新產品開發績效構面之因素分析表	52
表4-19各構面之信度分析表	53
表4-20各構面之相關分析表	54
表4-21各構面子構念之相關分析表	55
表4-22人工智慧技術應用子構面對品質因素之迴歸分析表	58
表4-23人工智慧技術應用子構面對需求有效性之迴歸分析表	59
表4-24需求品質構面對市場績效之迴歸分析表	60
表4-25需求品質構面對專案績效之迴歸分析表	61
表4-26人工智慧技術應用子構面對市場績效之迴歸分析表	62
表4-27人工智慧技術應用子構面對專案績效之迴歸分析表	63
表4-28需求品質對人工智慧技術應用與新產品開發績效層級迴歸分析表	65
表4-29需求品質之兩構面集群分析表	66
表4-30需求品質與產品所屬類型對新產品開發績效之二因子變異數分析表	67
表4-31需求品質與產品種類對新產品開發績效之二因子變異數分析表	67
表4-32需求品質與產品創新程度對市場績效之二因子變異數分析表	68
表4-33需求品質與產品複雜度對市場績效之二因子變異數分析表	69
表4-34需求品質與產品環境不確定性對新產品開發績效之二因子變異數分析表	69
表4-35需求品質與產品總預算對新產品開發績效之二因子變異數分析表	70
表4-36需求品質與產品開發完成時間對新產品開發績效之二因子變異數分析表	71
表4-37需求品質與產品開發持續時間對新產品開發績效之二因子變異數分析表	71
表4-38本研究假設驗證之結果	72

圖目錄
圖1-1圖靈測試	4
圖1-2研究流程圖	8
圖2-1人工智慧發展歷程	9
圖2-2專家系統vs機器學習vs深度學習	13
圖2-3人工智慧核心技術	15
圖2-4技術成熟度曲線	16
圖3-1研究架構	27
圖3-2信度分析	35

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