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研究生: 吳國睿
Kuo-Jui Wu
論文名稱: 在不確定性下引導綠色時代朝向可持續供應鏈管理
Leading Green Era to Sustainable Supply Chain Management under Uncertainty
指導教授: 廖慶榮
Ching-Jong Liao
口試委員: 郭人介
Ren-Jieh Kuo
江行全
Jiang, Bernard C.
喻奉天
Vincent F. Yu
吳建瑋
Chien-Wei Wu
曾明朗
Ming-Lang Tseng
學位類別: 博士
Doctor
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 154
中文關鍵詞: 綠色供應鏈可持續供應鏈管理動態化組織能力可持續商業管理能力與競爭力供應鏈風險與不確定性
外文關鍵詞: green supply chain, sustainable supply chain management, dynamic organizational capabilities, sustainable business management capabilities and, supply chain risks and uncertainties
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  • 為使人類之生活環境不再日益惡化,聯合國、歐盟與美國分別制定了許多抑制環境惡化之相關法令,嚴格要求企業須遵循其規範,並加強落實於生產流程中,以降低對環境上之負面影響。雖然在以往之研究架構中,多數研究能夠提出適當之評估方式,藉以協助企業減緩從經濟發展上對環境層面所造成之衝擊;然而在現今社會中仍隱藏著許多不確定性,因此衍伸出許多不同層面上之議題,而諸如此類之議題無法利用以往之研究架構與方法做較為深入之探討。尤其是缺乏相關之實證與具體研究,以明確指出該如何引導企業從『綠色時代』轉變至『可持續供應鏈管理』,同時兼顧經濟、環境與社會之三重底線。
    本論文提出五個研究目的,加強論證以引導企業建立可持續性之永續經營能力,並透過以上整合能力協助企業從『綠色』轉型為『可持續』之經營管理。首先,由實行綠色供應鏈開始評估,從評估中將實行之效果予以量化,並透過量化結果尋找出最有影響力之關鍵因素。第二,評估企業執行綠色創新上之具體表現,辨別企業內部是否存在有哪些特殊之動態組織化能力,足以支持及強化企業面對大環境之變動。其次為,探討在不確定性下之創新因子,對於可持續商業管理能力與競爭力之貢獻與影響。緊接著建立一個有理論基礎之評估方式,透過不同資訊整合,協助企業辨別供應鏈上之風險與不確定性,並提高對該風險與不確定性之認知。最後,提供企業足以評估可持續供應鏈管理績效之工具,促使企業能更有效率地利用有限之資源。本論文提供創新之混合評估模式,用以提高評估結果之準確性與可靠度,並克服先前研究所產生之難題。個案探討、意涵與結論將在本文中作深入之探討。


    United Nations, European Union and United States of America set up several environmental regulations in order to prevent our living environment from getting worst. Hence, firms are required to comply with these regulations in the production processes for reducing the environmental impacts. Although previous studies proposed frameworks and assessments enable to assist firms in considering economic and environmental aspects, there is still a gap exist in concerns about the social aspect. Furthermore, there are also insufficient studies address how to lead firms from green era to sustainable supply chain management that enables to consider triple bottle line (economy, environment and society) simultaneously.
    This dissertation proposes five research objectives to demonstrate the development of sustainability for leading firms from “green” into “sustainability”: (i) to evaluate the decisive factors that can influence the implementation of green supply chain practices; (ii) to identify the specific dynamic organizational capabilities by evaluating the performance of the case firm; (iii) to investigate the contributions of innovation criteria to sustainable business management capabilities and competencies under uncertainty; (iv) to develop an assessment with a theoretical basis that supports firms in diagnosing and enhancing their understanding of supply chain risks and uncertainties using diverse information; and (v) to provide, in addition to a theoretical basis, a quantitative tool for firms to evaluate the performance of sustainable supply chain management. In addition, several effective hybrid methods are proposed to overcome the gaps from previous studies. The empirical studies, implication and conclusions are addressed.

    CHINESE ABSTRACT i ENGLISH ABSTRACT ii ACKNOWLEDGEMENTS iii TABLE OF CONTENTS iv LIST OF FIGURES vii LIST OF TABLES viii CHAPTER 1 INTRODUCTION 1 1.1. Phenomenon 1 1.2. Research objectives 3 1.3. Structure of dissertation 4 CHAPTER 2 LITERATURE REVIEW 6 2.1. Green supply chain practice 6 2.1.1. Eco-innovation 8 2.1.2. Innovation 10 2.1.3. Dynamic organization capability 10 2.1.4. Sustainable business management capabilities and competencies 12 2.1.5. Supply chain risks and uncertainties 13 2.1.6. Sustainability indicators 14 2.2. Sustainable supply chain management 15 CHAPTER 3 METHODS 17 3.1. Fuzzy Delphi Method (FDM) 17 3.2. Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) 18 3.3. Grey Delphi Method (GDM) 19 3.4. Grey Decision Making Trial and Evaluation Laboratory (GDEMATEL) 20 3.5. Interval Triangular Fuzzy Numbers associated with Grey Relational Analysis (IVTFNs-GRA) 21 CHAPTER 4 EMPIRICAL STUDIES 26 4.1. GSCP evaluation 26 4.1.1. Proposed GSCP criteria 28 4.1.2. Proposed FDEMATEL approach 30 4.1.3. Procedures of FDEMATEL 32 4.1.4. Empirical results 33 4.1.4.1. Case information 33 4.1.4.2. Case analysis 35 4.2. DOC identification 38 4.2.1. Assumption for the analysis 39 4.2.1.1. The research gaps 39 4.2.1.2. The proposed measures 41 4.2.2. Proposed analytical steps 45 4.2.3. Results 46 4.2.3.1. Taiwanese lighting industry 46 4.2.3.2. Empirical results 47 4.3. SBMCC investigation 61 4.3.1. Proposed method 62 4.3.2. Proposed SBMCC measures 63 4.3.3. Proposed analytical steps 66 4.3.4. Results 67 4.3.4.1. Industrial background 67 4.3.4.2. The empirical results 68 4.4. SCRU diagonsis 83 4.4.1. Collaboration Theory 84 4.4.2. Rationale of study 85 4.4.2.1. The study gaps 85 4.4.2.2. The Proposed Measures 86 4.4.3. Data Gathering 89 4.4.3.1. Qualitative Data 89 4.4.3.2. Social Media 89 4.4.3.3. Quantitative Data 90 4.4.4. Proposed Analytic Procedures 91 4.4.5. Empirical Results 93 4.4.5.1. Industrial Background 93 4.4.5.2. Results 93 4.5. SSCM assessment 99 4.5.1. The proposed method 101 4.5.2. The proposed SSCM measures 102 4.5.3. Proposed analytical procedures 104 4.5.4. Results 105 4.5.4.1. Case information 105 4.5.4.2. The results 106 CHAPTER 5 IMPLICATIONS 110 5.1. Theoretical Implications 110 5.1.1. DOC 110 5.1.2. SBMCC 111 5.1.3. SCRU 112 5.1.4. SSCM 113 5.2. Managerial Implications 115 5.2.1. GSCP implementation 115 5.2.2. Eco-innovation Application 117 5.2.3. Adoption of innovation 118 5.2.4. SCRU identification and mitigation 121 5.2.5. SSCM evaluation 122 CHAPTER 6 CONCLUSIONS AND FUTURE STUDIES 124 6.1. Conclusions 124 6.1.1. Industry/Firm 124 6.1.2. Theory 126 6.1.3. Method 127 6.2. Future Studies 128 REFERENCES 129

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