Common Knowledge Sharing Model of 24-Hour Knowledge Factory of Grid Computing Based on Case Based Reasoning

Common Knowledge Sharing Model of 24-Hour Knowledge Factory of Grid Computing Based on Case Based Reasoning

Huosong Xia (Wuhan University of Science & Engineering, P.R. China and University of Arizona, USA) and Amar Gupta (University of Arizona, USA)
Copyright: © 2008 |Pages: 18
DOI: 10.4018/jkm.2008070101
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Abstract

In order to improve the level of decision making and competitive advantage, organizations try to learn and develop new knowledge management techniques that are suited for the evolving global economy. Decision makers are becoming increasingly faced with a dilemma: great difficulty arises in sharing knowledge where distributed and heterogeneous data sources are so rich in terms of their information content. In order to address the problem of knowledge sharing, this article proposes a common knowledge sharing model— the 24-hour knowledge factory—of grid computing founded on case-based reasoning (CBR). This article begins with a description of the 24-hour knowledge factory, the enterprise common knowledge shared (ECKS) methodology and the time-shift sharing model. Next, the notion of a CBR-adapted approach for 24-hour knowledge factory, based on grid computing, is presented. Third, based on the ECKS concept, this article analyzes the use of the model described in this article in decision evolution and builds upon enterprise sharing structure ECK modeling, focusing on activity-work sharing, passive-work sharing and mix-work sharing. Multiple types of enterprise common knowledge transfer mechanisms are presented in this article.

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