專論／以關鍵詞網絡探討動態性知識管理議題／陳良駒；張正宏 | Exploring Dynamic Knowledge Management Research Issues: A Keyword Network Analysis / Liang-Chu Chen; Jeng-Horng Chang

知識管理是企業邁向知識經濟時代的實務顯學，也是學術界近年來持續探討的重要研究議題。然而知識管理的面向是一種多維度的呈現，如何快速而正確的瞭 解知識管理議題的發展，是許多組織知識工作者及學術研究學者努力的目標。許多學者提出知識管理內容的架構及分類，但卻都是屬於一種由上而下的靜態設計。社 會網絡分析是呈現及量測網絡實體成員互動的技術，適合建構關係網絡的動態性。本文嘗試以關鍵詞網絡來分析國內資訊相關系所從事知識管理研究的主題及脈絡， 並透過關鍵詞的連結來建構一套動態性的知識管理研究範疇。研究成果除驗證知識管理學域中的研究重點，更透過網絡關係來連結多樣性的研究構想，進而提供產官 學界更宏觀且動態的知識管理研究建議。 Knowledge management (KM) is an important practice in a corporation and an essential issue that academic scholars intend to explore continuously in the era of knowledge economy. However, KM presents a variety of perspectives that are still undefined for many knowledge workers and academic researchers. Many scholars propose a few categories and frameworks about KM, but a static outcome. Social network analysis (SNA) is a method to present and measure the interaction among network entities and it is suitable to construct the dynamic relationship networks. The purpose of this study is to acquire the research issues and contexts of KM within information-related graduate schools based on a keyword network analysis. Moreover, we build a dynamic KM research network through these linkages with keywords. The results of this study confirm the essential research perspectives in a KM domain and suggest a variety of KM research ideas which provide the industries, governments, and academic communities with a macro and dynamic KM research viewpoint. 頁次：81-94