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研究生: Herzavina
Herzavina
論文名稱: 綠色供應鏈能力對環境績效的影響
The Effect of Green Supply Chain Capability on Environmental Performance
指導教授: 魏小蘭
Hsiao-Lan Wei
口試委員: 朱宇倩 
Yu-Qian Zhu
黃世禎
Sun-Jen Huang
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理系
Department of Information Management
論文出版年: 2020
畢業學年度: 108
語文別: 英文
論文頁數: 87
中文關鍵詞: 綠色供應鏈能力環境績效環境協作綠色信息系統綠色知識能力知識共享行為和環境企業社會責任
外文關鍵詞: Green supply chain capabilities, environmental performance, environmental collaboration, green information system, green knowledge capability, environmental corporate social responsibility
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  • 摘要
    綠色供應鍊是運營管理的重要過程,其活動會對環境產生重大影響,例如排放 污染,社區健康危害等。儘管最近的辯論認識到加強公司處理其供應鏈中環境問題的能力的重要性很重要。但是,在環境績效(EP)的背景下,關於綠色供應鏈功能的文獻很少,例如環境協作(EC),綠色信息系統(GIS)和綠色知識能力(GKC)。這項研究還旨在檢查這些功能與結構模型之間的關係。研究探索了這些範式對組織環境績效的實踐和理論基礎. 作者使用調查問卷來收集來自不同公司和行業的數據。我們使用結構方程模型(SmartPLS工具)通過印度尼西亞發展中國家的185家公司的樣本來驗證研究模型.
    總體而言,結果表明環境合作與環境績效之間存在積極關係。其次是一些重要發現,例如具有環境績效的綠色信息系統;以及關於環境績效的綠色知識能力。此外,環境企業社會責任(ECSR)的調節作用支持了綠色知識與環境績效之間的相關性。此外,知識共享(KS)成功地緩解了環境協作與環境績效之間的關係。相比之下,ECSR作為一種調節作用,對於通過環境協作和綠色信息系統來提高環境績效沒有顯著效果。在第二次調節作用上,KS還無法支持綠色信息系統和綠色知識能力對環境績效的關係。這項研究表明,環境合作在減少空氣排放和廢水浪費,減少有害和有毒物質的消耗以及降低環境事故發生率方面發揮著重要作用。這一發現凸顯了該焦點公司與其合作夥伴,供應商和客戶的直接聯繫,以開發環境解決方案以減少對供應鏈的環境影響.
    理想的管理水平是發展和增加他們對公司內部環境績效管理的理解。特別是,對於綠色供應鏈推動者尤其是可持續發展經理和高管,他們將努力探索為現有綠色供應鏈能力中的公司創建方案,同時探索綠色能力方案以實現更好的環境績效,這對實踐至關重要。我們建議供應鏈經理通過確定減少環境破壞的可能相關舉措和策略來提高供應鏈參與者的參與度。在協作過程中,知識共享行為可以幫助供應鏈成員更靈活地分配與環境影響相關的整體信息。此外,我們還建議組織提高其環保企業社會責任(ECSR)的職責,以吸引具有環保意識的有能力的員工.

    關鍵詞–綠色供應鏈能力,環境績效,環境協作,綠色信息系統,綠色知識能力,知識共享行為和環境企業社會責任。


    ABSTRACT
    The green supply chain is an important process of operations management and its activities have a significant impact on the environment such as emissions, pollutions, health hazards of the community, etc. While recent debate recognizes the importance of strengthen the firm’s capabilities to manage environmental concerns along their supply chains is important. However, there has been a paucity of literature regarding green supply chain capabilities such as environmental collaboration (EC), green information system (GIS), and green knowledge capability (GKC) in the context of environmental performance (EP). This study also aims to examine the relationships of these capabilities with the structural model. The research explores both the practical and theoretical basis of these paradigms on organization environmental performance. The authors used a survey questionnaire to collect data from various firms and industries. We used structural equation modeling (SmartPLS tools) to validate the research model with a sample of 185 companies in a developing country of Indonesia.
    Overall, the result demonstrates a positive relationship between environmental collaboration and environmental performance. Followed by several significant findings such as green information system with environmental performance; and green knowledge capability on environmental performance. Additionally, the moderating effect of environmental corporate social responsibility (ECSR) has supported the correlation between green knowledge on environmental performance. Also, knowledge sharing (KS) successfully moderates the relationship between environmental collaboration and environmental performance. In contrast, ECSR as a moderating effect has no significant result to increase environmental performance from environmental collaboration and green information systems. On the second moderating effect, KS also unsuccessful to support the relationship of green information system and green knowledge capability on environmental performance. This study indicates that environmental collaboration plays an important role to reduce air emission and effluent waste, decrease the consumption of hazardous and toxic material, as well as lower the frequency of environmental accidents. This finding highlights the direct connection of the focal firm with its partners, suppliers, and customers to evolve environmental solutions for the reduction of environmental impact in supply chains.
    The management level ideally develops and increase their understanding of managing environmental performance within their company. Particularly, it will be practical importance for green supply chain enablers especially for sustainability managers and executives grappling ways to create a scenario for companies in existing green supply chain capabilities while exploring green capabilities options to achieve better environmental performance. We suggest that supply chain managers improve the involvement of supply chain players, by identifying possible relevant initiatives and strategies for reducing environmental damage. In a process of collaboration, knowledge sharing behavior can help supply chain members to be more flexible in distributing overall environmental impact related information. Furthermore, we also suggest organizations to promote the duty of their environmental corporate social responsibility (ECSR) to attract capable employees that have environmental consciousness.

    Keywords – Green supply chain capabilities, environmental performance, environmental collaboration, green information system, green knowledge capability, knowledge sharing behavior, and environmental corporate social responsibility.

    CONTENTS 摘要 i ABSTRACT ii ACKNOWLEDGEMENT iv CONTENTS v LIST OF FIGURES vi LIST OF TABLES vii 1. INTRODUCTION 1 2. THEORETICAL BACKGROUND 5 2.1 Green Supply Chain Capability 5 2.1.1 Environmental Collaboration 8 2.1.2 Green Information System 10 2.1.3 Green Knowledge Capability 12 2.2 Environmental Corporate Social Responsibility (ECSR) 14 2.3 Knowledge Sharing Behavior 17 2.4 Environmental Performance 20 3. HYPOTHESIS DEVELOPMENT 22 3.1 Linking environmental collaboration and environmental performance 22 3.2 Linking green information system integration and environmental performance 24 3.3 Linking green knowledge capability and environmental performance 25 3.4 The moderating effect of Environmental Corporate Social Responsibility (ECSR) 27 3.5 The moderating effect of knowledge sharing behavior 28 4. RESEARCH METHODOLOGY 31 4.1 Structured Questionnaire Development 31 4.2 Quantitative Data Collection 32 5. DATA ANALYSIS AND RESULTS 37 5.1 Measurement Model 37 5.2 Hypotheses Testing 39 6. DISCUSSION AND CONCLUSION 43 6.1 Discussions 43 6.2 Implications 47 6.3 Limitation and Future Research 50 6.4 Conclusions 51 REFERENCES 54 APPENDIX 1 72 APPENDIX 2 77 LIST OF FIGURES Figure 1. Research Model 22 Figure 2. Hypothesis Result 41

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