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研究生:彭志祺
研究生(外文):Jhih-Ci Peng
論文名稱:應用引文分析和社群網路分析於供應鏈管理之研究
論文名稱(外文):The Study of Supply Chain Management Using Co-citation Analysis and Social Network Analysis
指導教授:楊千楊千引用關係
指導教授(外文):Chyan Yang
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:45
中文關鍵詞:供應鏈管理共引用分析社群網路分析
外文關鍵詞:Supply Chain Management (SCM)Co-CitationSocial network analysis
相關次數:
  • 被引用被引用:5
  • 點閱點閱:927
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
在全球競爭環境的新時代,因為現今企業最重要的典範轉移為單一企業不在被視為唯一性及不變性的,而是應該被視為供應鏈的體系,所以供應鏈管理在企業環境中扮演很重要的角色,由於供應鏈管理它是相當新且廣泛的概念,很多研究者從很多學科裡分析文獻並探討供應鏈概念是如何的演進、改變和定義。

在這一個研究中,藉由實證性分析研究,我們使用共引用分析及社群網路分析方法,探索供應鏈管理的主題及文件兩者之間的關係,並找出最密切相關的連結,我們希望藉由此研究的初步結果,可以幫忙專家們更容易了解供應鏈的主要趨勢、理解智慧架構和動向,以及找出供應鏈管理和其他領域之間的關係,並且快速的找出經典文獻。
In this era of global competitive environment, Supply Chain Management (SCM) plays an important role in the environment of an enterprise because the most important significant paradigm shifts of modern business environment that individual business no longer consider as unique and immutable, but rather must be seen as supply chain. Due to SCM, it is a relatively new extensive concept that many researchers analyze the literature from multiple disciplines by seeing how the supply chain concept has evolved and changed and defined.
In this study, by using empirical experiment, we use co-citation method and social network analysis to discover the most closely related links between sets of subjects or documents of SCM. Based on our research results that we hope to help specialists easily realize the main trends, understand of intellectual structure and movement in the SCM and in other areas, and locate relevant papers efficiently.
誌謝 III
Contents IV
List of Tables V
List of Figures VI
1. Introduction 1
1.1 Research Background 1
1.2 Research Purpose 2
1.3 Research Process 3
2. Literature Review 5
2.1 Supply Chain Management 5
2.2 Conceptual Framework of SCM 9
3. Research Methodology and Proposed Method 13
3.1 Research Methodology 13
3.1.1 Bibliographic and Co-citation 13
3.1.2 Social Network Analysis 16
3.2 Proposed Method 18
3.2.1 Objective 18
3.2.2 Build a Matrix 18
3.2.3 Research Method 20
4. Experiment Result 21
4.1 Data Collection 21
4.1.1 Selection of Documents 21
4.1.2 Retrieval of Co-citation Data 22
4.1.3 Central Core papers 22
4.2 Results and discussion 26
5. Conclusion and Future Works 38
5.1 Conclusion 38
5.2 Future works 40
6. References 41
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