DeLone and McLean 模式在資訊管理領域之研究---以作者共引文方式

Abstract

本研究利用作者共引文的分析法(Author co-citation analysis, ACA)去針對資訊系統成功模式(Information System Success Model)做分析。ACA提供了一個完善的方法讓我們去檢視其研究發展趨勢及架構，ACA主要的概念是藉由計算兩個作者被其他人所共同引用的次數，來了解他們彼此之間的相關性。本研究所採用有關資訊系統成功模式的資料均來自SSCI , SCI 資料庫。

本研究依據資訊系統成功模式領域中，其論文被引用的次數，依序蒐集前100篇，並取其之第一作者作為我們分析的資料，再經由ACA的方法處理這些數據，接著利用多元尺度化分析 Multidimensional Scaling (MDS) 以及群集分析 Clustering Techniques (CT) 去展現資訊系統成功模式的動態知識架構，最後利用因素分析 Factor Analysis(FA)去驗證其完整性。經過上述的分析結果，我們可以勾勒出一個在資訊系統成功模式領域中的知識架構圖，可以大致將其區分為三大區塊 : 1) 科技接受模式 & 資訊系統成功模式的關係與應用, 2) 資訊系統成功模式在企業及管理上的應用, 3) 資訊系統成功模式在其他領域的應用，希望透過這個架構圖，能提供未來的研究者一個較為明確的方向。

This thesis shows the analysis of Information System (IS) Success Model by using Author co-citation analysis (ACA). ACA offers a good technique that contributes to the understanding of intellectual structure in the sciences and possibly in other areas to the extent that those areas rely on formal scholarly communication. It is a form of document coupling the frequency with two authors which their paper are cited by the same person. In this thesis we make an experiment by using data from SSCI, SCI database system to identify clusters of highly inter-related documents in the subject of IS Success Model.

The study ranks the Information System Success Model documents by times cited and collects first top 100 articles’ authors. Also, we use Multidimensional scaling (MDS) and clustering techniques (CT) to create the two-dimensional maps to display the dynamic intellectual structure of IS success model, based on scholars citing their work by its ranking. The conclusion would provide further research for the researchers.