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請使用永久網址來引用或連結此文件:
http://nhuir.nhu.edu.tw/handle/987654321/21701
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題名: | 知識管理整合性研析於永續發展之應用 |
其他題名: | The integrated application of knowledge management for the issue of the Sustainable Development |
作者: | 侯瑞芳 Hou, Jui-Fang |
貢獻者: | 資訊管理學研究所 謝昆霖 Kun-Lin Hsieh |
關鍵詞: | 自組織映射圖網路;案例庫推理;資料挖掘;知識管理 self-organization mapping;data mining;knowledge management;case-based reasoning |
日期: | 2004 |
上傳時間: | 2015-06-17 15:50:29 (UTC+8) |
摘要: | 知識管理(Knowledge Management, KM)利用資訊科技針對特定組織內或特定領域現有的資料及資訊進行系統化的整理及重新組織的新技術及組織發展策略(用於創新及知識再利用),期由資料間或資訊間發現出某些內隱的關係或趨勢等知識,以做為決策或策略制定的重要參考。 永續發展(Substantial Development)近年來受到多數的企業、組織的重視,為落實永續發展的推動目的,知識管理策略思維的引入將是必然的趨勢。本論文在研究上,針對實施對象勾勒出適用的知識管理策略架構。在營利導向組織的知識管理推動,本研究提出以己通過ISO 9000系統之企業文管系統作為知識管理之基礎,依ISO和知識管理的關聯性,規劃出企進行知識管理之策略架構。若將營利導向組織擴展至非營利導向的政府組織,因為其考量層面相對擴展許多,本研究乃規劃支援非營利導向組織永續發展之知識管理策略架構,透過智慧型的資料挖掘(Data Mining, DM)工具(例如:類神經網路(Artificial Neural Networks, ANNs)非監督模式之自組織映設圖(Self-Organization Mapping, SOM)網路以及關聯法則(Associate Rules)演算法)來處理外顯知識,或使用案例庫推理(Case-Base Reasoning, CBR)方法來處理內隱知識部份。同時,我們也實作一適用於非營利導向組織的知識管理系統來展現本研究所提策略架構之可行性。 Knowledge management (KM) is a new strategy to arrange, collect and systematize the related data or information in enterprise by using the necessary information technology (IT). That is, it can be applied into achieving the knowledge innovation and knowledge reuse. We hope that the hidden rules or trends can be obtained by analyzing them. The obtained result can be then taken into references for decision-making. As so far, the issue of substaintial development had been focused by most enterprises. The thought of KM must be led into implemeting the substaintial development well. Two suitable architectures of implemeting KM for the different subjects are proposed in this thesis. As for the enterprises engaging in making profit, we proposed that the document system passing through ISO 9000 can be viewed as the basis of KM. Herein, we design a strategic architecture to implement KM according to the relationship between ISO and KM. However, if the subject is not to engage in making profit, it can not be directly used for the considerations being different. Hence, we also design a strategic architecture of KM to support that the subject is not to engage in making profit. The intelligent data mining tool like as self-organization mapping (SOM), a model with the unsupervised model in artificial neural networks (ANNs), is applied to dealing with the explicit knowledge. And, the technique of Case-base reasoning (CBR) is then applied to deal with the tacit knowledge. Besdies, a prototyping system of KM being suitable for the substaintial development is demonstrated to represent the feasibility of our proposed architecture. |
顯示於類別: | [資訊管理學系] 博碩士論文
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