Huosong Xia’s research while affiliated with Wuhan University and other places

In order to improve the level of decision making and competitive advantage, organizations are actively trying to develop and incorporate new knowledge management techniques that are suited for the evolving global economy; the notion of globally distributed team environments represents one area of heavy focus. In implementing a globally distributed work environment, decision makers are faced with an increasingly daunting task of reconciling disparate distributed and heterogeneous data sources. Further, these data sources are growing every day as corporations dedicate more of their resources to a multinational scenario, rather than to a domestic or geographically-specific focus. In order to address this growing problem of knowledge sharing, the authors propose a knowledge sharing model that incorporates the notion of the 24-Hour Knowledge Factory, in conjunction with grid computing and case-based reasoning (CBR). This chapter begins with a description of the 24-Hour Knowledge Factory, the Enterprise Common Knowledge Shared (ECKS) methodology, and the evolving time-shift sharing model. Next, a CBR-adapted approach, based on grid computing, is presented for use in a 24-Hour Knowledge Factory environment. Finally, several types of enterprise knowledge transfer mechanisms are presented in this paper.

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 transfe mechanisms are presented in this article.