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系統識別號 U0002-1208201414581000
中文論文名稱 分析網路程序法之模型建構流程改善及應用研究
英文論文名稱 ANP for model-structuring process improvement and its applications
校院名稱 淡江大學
系所名稱(中) 管理科學學系博士班
系所名稱(英) Doctoral Program, Department of Management Sciences
學年度 102
學期 2
出版年 103
研究生中文姓名 陳巧青
研究生英文姓名 Chiau-Ching Chen
學號 895620077
學位類別 博士
語文別 中文
口試日期 2014-06-23
論文頁數 126頁
口試委員 指導教授-時序時
指導教授-吳坤山
委員-曾國雄
委員-黃旭男
委員-郭人介
委員-林進財
委員-曹銳勤
委員-徐煥智
中文關鍵字 分析網路程序法  綠色供應鏈管理  科技接受  科技接受與使用整合理論  穿戴式科技 
英文關鍵字 Analytic network process  Green supply chain management  Technology acceptance  UTAUT  Wearable technology 
學科別分類
中文摘要 分析層級程序法(Analytic Hierarchy Process, AHP)及其一般化的分析網路程序法(Analytic Network Process, ANP)可協助我們了解真實世界並用來解決問題,受到廣泛的重視,並為多準則決策(Multiple Criteria Decision Making, MCDM)的重要一支。本研究提出兩種模型建構流程改善方式,並分別應用於綠色供應鏈策略選擇與穿戴式科技接受程度之分析。
首先,係以產品生命週期管理(Product Lifecycle Management, PLM)概念建構綠色供應鏈策略選擇網路模型,同時強調控制準則之設定,使成對比較之影響評估結果更為精確,由模型推導而得之綠色供應鏈管理策略能更符合組織之環保觀點。接著再以某家台灣知名電子公司為例,解釋該模型之分析應用。因PLM管理概念與組織企業功能相近,使得該模型之分析結果更容易應用於各部門之政策、計畫訂定。
此外,本研究為了改善ANP模型建構之客觀性,嘗試使用科技接受與使用整合模型(Unified Theory of Adoption and Use of Technology, UTAUT)作為分析模型建構之基礎,該模式廣泛應用於新興科技接受程度之評估且解釋能力較高。接著,再以最近受到各界關注的穿戴式科技為探討對象,評估消費者對於此一新興科技之可能使用意圖及真正使用情況。過去研究多運用統計方法進行UTAUT模型分析,但改用ANP方法能避免一些使用限制,如需符合使用統計方法之基本假設及條件,需取得一定適量之樣本數等。又模型中各變數之顯著性差異分析會因每次蒐集樣本不同而有不同結果,進而無法瞭解所有變數之重要性。
本研究提出兩種之建構方式皆利用敏感度分析確認模型之穩定性,但以管理概念為基礎之建構方式,未來可思考結合其他數量方法,持續改善因素之間關係之判斷;而以理論模型為基礎之建構方式,可持續探討其他理論模型之轉換可能性,進而提出一套更為客觀且合理之模型轉換流程。
英文摘要 Abstract:
The Analytic Hierarchy Process (AHP) and its general form, Analytic Network Process (ANP), help decision makers understand real world problems and solve them via a hierarchical or network structure. It has been popular for many business applications and has become an important technique in multiple criteria decision making. This study proposes two kinds of improvement processes of model-structuring and applies them to the selection of the appropriate green supply chain management (GSCM) strategy and the evaluation of consumers’ acceptance of wearable technology.
First, the researcher organized the GSCM strategy-selection network structure according to the product lifecycle management (PLM) concept. Then the importance of control criteria which could make the results of pair-comparisons more precise was stressed and the GSCM strategy which conformed to the environmental perspective kept by the organization was chosen. Then the study selected a leading Taiwanese electronics company to demonstrate how to choose an appropriate GSCM strategy via the proposed model. The analytical results derived from the model can provide suggestions for departments’ policies or programs since the concept of PLM corresponds with their business functions/departments types.
In addition, the Unified Theory of Adoption and Use of Technology (UTAUT) model which is a more robust theory model and used commonly to predict the acceptance of a new technology was utilized to be a basis for an analytical network-framing. Then, wearable technology was taken an example to evaluate customers’ intention to use the products and the level-low, medium and high of actual use of wearable technology in Taiwan. This approach not only improved the model-framing objectivity; but also avoided some limitations which existed in statistical methods including some assumptions, problems with sample sizes and so on. The method used in this study allowed for issues related to inaccurate statistical significance magnitude resulted from different samples which keep users from understanding the importance of each variable to be avoided.
The stability of the above tow model-structuring approaches was confirmed via sensitivity analysis; however, the first approach which is based on managerial concepts should combine other mathematical techniques to show better judgments in relationship–linking between each factor. The other approach which is based on UTAUT model also continuously examined the feasibility of other theoretical models, and then advanced to a more objective and feasible transferring process.

論文目次 目 錄
第1章 緒論 1
1.1 研究背景與動機 1
1.2 研究問題與目的 2
1.3 研究內容與流程 4
第2章 文獻探討 7
2.1 模型建構 7
2.2 綠色供應鏈管理 11
2.3 科技接受模型理論發展及其延伸模型 22
2.4 科技接受與使用整合模型 29
2.5 穿戴式科技 31
2.6 小結 33
第3章 研究設計 35
3.1 研究範疇 35
3.2 分析網路程序法 35
3.3 模型建構改善流程 39
第4章 實證分析 49
4.1 綠色供應鏈管理策略挑選 49
4.2 穿戴式科技接受預測 58
第5章 結論與建議 67
5.1 理論意涵 67
5.2 管理意涵 68
5.3 未來研究方向 72
參考文獻 79
附錄A 88
附錄B 94
附錄C 95
附錄D 114

表 目 錄
表2.1 綠色管理觀點的類型 13
表2.2 採取預先因應策略組織挑選供應商考量之質化評估標準與作業衡量 15
表2.3 TRA理論中的核心構面及定義 23
表2.4 TAM2模型兩個過程之新增因素及其定義 26
表2.5 TAM3模型中影響知覺易用性之因素及定義 27
表2.6 UTAUT模型整合之8個理論模型 29
表 3.1 整合AHP方法的應用範疇整理 37
表 3.2 電子業擬定綠色策略需考量之影響構面與影響因素 39
表 3.3 電子業採取綠色供應鏈管理策略的選擇方案 40
表 3.4 持有各種綠色管理觀點組織的特徵 41
表 3.5 UTAUT構面及子構面之定義及理論來源 45
表 4.1 專家背景資料表 52
表 4.2 各集群之權重 54
表 4.3 各因素之優先向量表 54
表 4.4 選擇方案結果分析 55
表 4.5 通過一致性檢定填答者之基本資料 59
表 4.6 10位填答者之集群權重(使用意圖) 59
表 4.7 不同子群體在使用意圖之三個影響構面之優先向量表 61
表 4.8 10位填答者之集群權重(使用行為) 63
表 4.9 不同子群體在使用行為之兩個影響構面之優先向量表 64
表5.1 綠色採購的原則 73
表5.2 促進逆物流活動的6Rs 75


圖 目 錄
圖1.1 研究流程圖 5
圖2.1 理性行為理論模型 22
圖2.2 科技接受模式 24
圖2.3 科技接受模式2 26
圖2.4 科技接受模型3 28
圖2.5 科技接受與使用整合模型 30
圖3.1 ANP方法的步驟 38
圖3.2 綠色供應鏈管理策略挑選模型建構流程圖 44
圖3.3 穿戴式科技接受預測模型 46
圖3.4 穿戴式科技接受預測模型分析步驟 47
圖4.1 綠色供應鏈管理策略挑選模型 53
圖4.2 綠色技能之權重變動正負50%之敏感度分析 56
圖4.3 綠色設計之權重變動正負50%之敏感度分析 56
圖4.4 各群體之使用意圖預測結果 62
圖4.5 「社會影響」之權重變動正負50%之敏感度分析 62
圖4.6 各群體之使用行為預測結果 65
圖4.7 「使用意圖」之權重變動正負50%之敏感度分析 65
圖5.1 四個企業功能之各項活動座標圖 70

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網路資料
Andes Technology Corporation. (2013, September 18). Put on the future: Wearable Technology. Retrieved January 31, 2014, from http://www.andestech.com/en/news-events/press-release/2013/WP_Put_on_the_Future_Wearable_Technology_WP012_V1%200%2020130918_Rev1%200.pdf.
EDUCAUSE Learning Initiative (ELI). (2013, November 8). 7 Things You Should Know About Wearable Technology. Retrieved January 31, 2014, from http://www.educause.edu/library/resources/7-things-you-should-know-about-wearable-technology.
IHS Electronics & Media. (2013, September). Wearable Technology-Market Assessment, An HIS Whitepaper. Retrieved January 31, 2014, from http://www.ihs.com/pdfs/Wearable-Technology-sep-2013.pdf.
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