dc.contributor | 資管系 | |
dc.creator (作者) | Fang, K.;Chang, Chingwei;Chi, Yan-Ping | |
dc.creator (作者) | 張清為;季延平 | zh_TW |
dc.date (日期) | 2006 | |
dc.date.accessioned | 21-Jul-2015 15:05:49 (UTC+8) | - |
dc.date.available | 21-Jul-2015 15:05:49 (UTC+8) | - |
dc.date.issued (上傳時間) | 21-Jul-2015 15:05:49 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76740 | - |
dc.description.abstract (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. | |
dc.format.extent | 176 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (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 | |
dc.subject (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 | |
dc.title (題名) | Constructing a dynamic knowledge management procedure by fuzzy clustering | |
dc.type (資料類型) | conference | en |