我國資訊管理研究方向及方法—碩士論文之分析

Information Systems Research Orientations and Methodologies Used in Taiwan: A Meta-Analysis of Master Theses

陳禹辰(Yu-Chen Chen) ； 皮世明(Shih-Ming Pi) ； 范錚強(Cheng-Kiang Farn)

《資訊管理研究》 1卷1期 (1996/07) Pp. 1-18

https://doi.org/10.6188/JEB.1996.1(1).01

摘要

雖然近年來我國資訊管理學域的成長快速，卻少有學者深入探討研究現況，以致無法了解學界研究重點、方向與趨勢。由於碩士研究生的研究受其指導教授影響頗大，往往可代表資管學者的研究取向。因此透過調查碩士論文，可以了解我國資管研究現況及各校研究方向和方法的差異。本研究運用內容分析法針對國內資管所及企管所，與資管議題有關的碩士論文進行分析。結果顯示我國資管研究層面多樣，但稍偏重技術面，較常採用非實徵研究法。不同資管所、企管所間，研究的領域及方法均各有不同。近年來新成立的資管所在研究題目上大多保持均衡，對管理及應用面也頗為注重。不過資管所論文實徵研究的比例仍不多，雖然近年來數量、比例逐漸在增加，但仍顯緩慢。

關鍵字

資訊管理 ； 資訊管理研究 ； 研究課題 ； 研究方法 ； 內容分析法

並列摘要

The past decade witnessed a rapid growth in the Information Systems research community in Taiwan. However, there is a lack of analysis to understand the research focuses, directions and trends. In Taiwan, a research thesis must be submitted in partial fulfillment for the award of a Master degree. Normally, a Master thesis of any student is heavily influenced by his/her advisor(s). As a result, by analyzing the topics and research methodologies used in IS theses, one can arrive at a general understanding of the current status of IS research, as well as the major research issues and methods used by each IS research program (Graduate department in information management). ln this study, content analysis is employed to analyze (1) theses produced by graduate departments in information management, and (2) IS related theses produced by graduate departments in business administration. Result reveals that current IS research is diverse; however, studies are more technically oriented and non-empirical in nature. Each IS research program tends to focus on different issues and prefer different research methodologies. More recently established programs tend to keep a balanced profile among technical, managerial and application orientations. However, despite a continuing growth in number, empirical studies are lacking in proportion.

並列關鍵字

Information Management ； IS Research ； Research Issue ； Research Methodology ； Content Analysis