系統識別號 | U0002-1106202016523900 |
---|---|
DOI | 10.6846/TKU.2020.00266 |
論文名稱(中文) | 人工智慧技術應用對新產品開發績效之影響 -以產品特性為干擾變數 |
論文名稱(英文) | The Effects of Artificial Intelligence Technology on New Product Development: Product Characteristics as Moderating Variables |
第三語言論文名稱 | |
校院名稱 | 淡江大學 |
系所名稱(中文) | 企業管理學系碩士班 |
系所名稱(英文) | Department of Business Administration |
外國學位學校名稱 | |
外國學位學院名稱 | |
外國學位研究所名稱 | |
學年度 | 108 |
學期 | 2 |
出版年 | 109 |
研究生(中文) | 陳亮廷 |
研究生(英文) | Liang-Ting Chen |
學號 | 607610499 |
學位類別 | 碩士 |
語言別 | 繁體中文 |
第二語言別 | 英文 |
口試日期 | 2020-05-28 |
論文頁數 | 90頁 |
口試委員 |
指導教授
-
楊立人(iry@mail.tku.edu.tw)
共同指導教授 - 李芸蕙(yh@mail.tku.edu.tw) 委員 - 張雍昇(136528@mail.tku.edu.tw) 委員 - 張敬珣(chang.ch@ntnu.edu.tw) |
關鍵字(中) |
人工智慧技術應用 需求品質 新產品開發績效 產品特性 |
關鍵字(英) |
Artificial Intelligence Requirement quality New Product Development Performance product characteristic |
第三語言關鍵字 | |
學科別分類 | |
中文摘要 |
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。 |
英文摘要 |
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. |
第三語言摘要 | |
論文目次 |
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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