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    政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 >  Item 140.119/76740


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/76740


    題名: Constructing a dynamic knowledge management procedure by fuzzy clustering
    作者: Fang, K.;Chang, Chingwei;Chi, Yan-Ping
    張清為;季延平
    貢獻者: 資管系
    關鍵詞: Analytical results;Business process re-engineering;Competitive advantage;Competitive environment;Decision makers;Dynamic knowledge management;Marketing strategy;Structure matrix;Commerce;Competition;Cybernetics;Equivalence classes;Fuzzy clustering;Industry;Information science;Information systems;Knowledge management;Loading;Management information systems;Marketing;Strategic planning;Systems analysis;Management science
    日期: 2006
    上傳時間: 2015-07-21 15:05:49 (UTC+8)
    摘要: Enterprises used to obtain competitive advantage by implementing marketing strategies, e.g., increasing quality, price, innovation and service in the past. However, marketing strategies were be imitated easily except knowledge. Knowledge is the critical invisible capital for enterprise to avoid imitating by others competitors. Moreover, since knowledge management procedure is one type of business process re-engineering. Therefore, constructing an appropriate knowledge management procedure is an important issue in competitive environment. Accordingly, this paper proposed a dynamic knowledge management procedure based on fuzzy clustering. The aim is to decompose equivalence class, in which activities with similar information loading. Then, this paper also involve tearing method to construct a reasonable executive ordering of activity and asked for decision makers to revise the analytical results based on actual status and experiences. For verifying our proposed method, an empirical case was illustrated to conduct.
    關聯: WMSCI 2006 - The 10th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Proc., Volume 1, Pages 256-261
    資料類型: conference
    顯示於類別:[資訊管理學系] 會議論文

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