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研究生: 陳雅倫
Ya-Lun Chen
論文名稱: 智慧教育產品產業經營決策分析-模糊多準則決策之應用
Decision Analysis of Smart Learning Firms in Taiwan – A Hybrid Fuzzy MCDM Approach
指導教授: 張順教
Shun-Chiao Chang
口試委員: 林億明
Yih-Ming Lin
張光第
Guang-Di Chang
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 165
中文關鍵詞: 校園智慧教育產品模糊理論折衷排去法模糊網路層級分析法
外文關鍵詞: Smart education products, BOCR criteria, DFANP
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本研究採用混合模糊多準則決策(MCDM)方法評估台灣的智慧教育產品。基於相關文獻綜述和專家建議,本研究以 BOCR 主準則(利益,機會,成本和風險)及其15個次準則。結果顯示利益 (Benefits) 是最重要的主準則,而最重要的子準則為「用戶學習價值 (Learning value for user)」。在綜合整體權重方面,整合式智慧教育教室 (Smart education classroom system) 為最重要的方案。本研究以敏感性分析檢驗DFANP研究結果是否穩定,結果顯示數位人才培訓服務 (Cloud online courses of professionals) 會擊敗智慧教育教室成為最佳方案,若需求方更重視使用利益與未來潛在科技運用機會,則數位人才培訓服務會變成最穩妥的方案。最後根據VIKOR(VlseKriterijumska Optimizacija I Kompromisno Resenje)法來選擇方案,結果表示需求方傾向以「數位人才培訓服務 (Cloud Online Courses of Professionals)」為最適當策略。


This study utilizes the hybrid fuzzy Multiple Criteria Decision Making (MCDM) approach to evaluate smart education products in Taiwan. In terms of its research structure, both qualitative and quantitative indicators are selected based on a literature review and expert suggestions related to fifteen sub-criteria under the BOCR (Benefits, Opportunities, Costs and Risks) criteria. In addition, the MCDM methods adopted in this study include the DFANP (Fuzzy Analytic Network Process based on DEMATEL) method used to calculate and analyze the causal weights of the evaluation indicators. Furthermore, sensitivity analysis is applied to the DFANP results, since changes in the weights of different alternatives can confirm whether the ranking of alternatives will be stable or not. The empirical results reveal that Benefits is the most important aspect, and the most important sub-criterion is “Learning value for user” for campuses. Finally, the results of the analysis of the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method indicate that the main strategy on the demand side is “Cloud Online Courses of Professionals”.

摘要 I Abstract II 致謝 III Contents IV List of Tables VI List of Figures VII Chapter 1 Introduction 1 1.1 Research Background and Motivation 1 1.2 Research Objectives and Purpose 3 1.3 Research Process 4 Chapter 2 Literature Review 6 2.1 The Literature on MCDM Methods 6 2.2 The Literature on Smart Education 12 2.3 The Determinant Factors of the Smart Education Evaluation Model 14 Chapter 3 Smart Technology Applications in Taiwan 31 3.1 The Smart Education Industry in Taiwan 31 3.2 The Development of Taiwan’s Smart Education Industry 33 Chapter 4 Methodology 38 4.1 The BOCR Model 38 4.2 The DEMATEL Methodology 39 4.3 Fuzzy Set Theory and Fuzzy Numbers 43 4.4 Multiple-Criteria Decision-Making (MCDM) Methodology 47 Chapter 5 Construction of the Evaluation Model 60 Chapter 6 Empirical Results 66 6.1 Analysis of the DEMATEL method 66 6.2 The Results of the FANP 69 6.3 Sensitivity analysis 78 6.4 The Results of VIKOR 85 Chapter 7 Conclusions, Limitations, and Recommendations 91 7.1 Research Conclusions 91 7.2 Limitations and Recommendations for Future Research 95 References 97 Appendix A 119 Appendix B DEMATEL Questionnaires 124 Appendix C FANP Questionnaires 126

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