信任在商業與管理領域之文獻回顧-以共引文方式(Co-citation)

Abstract

本論文利用共引文和社會網路的分析方式對信任於商業與管理領域的文獻做一回顧. 共引文指的是兩篇文獻藉由一起被引用而建立起關聯, 引用的頻率多寡則會決定兩者的關係強度.實驗數據是來自ISI資料庫,藉由相關聯的文件來鑑別出子集合. 本研究先將引用次數排序再取前100名,再以此為核心,我們發現到有5個不同的子集合並且在社會網路圖形上一一的標示出來.此外,我們利用時間關聯性分析來呈現其隨著時間推演所產生的變化.此變化說明了趨勢,此趨勢聚焦在策略聯盟, 市場行銷, 組織行為學, 電子商務, 經濟,社會和信任等5個領域上.此結論將提供後繼者參考及方向.

This thesis presents the analysis of trust by using co-citation analysis and social network analysis. Co-citation is a form of document coupling the frequency with which two documents are cited together. In this thesis we make an experiment by using data from ISI database system to identify clusters of highly inter-related documents in the subject of trust. The study ranks the trust documents by times cited and collects first top 100 articles. We discover five distinct sub-domains and circle them out on social network graph. Also, we use time relational analysis to provide insights of the evolution and growth of the subject. The trend in the trust-related field focuses on Strategic Alliance, Marketing, Organizational Behavior, E-Commerce, Economics, Society and Trust. The conclusion would provide further research for the researchers.