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Knowledge Sharing Model of 24-Hour Knowledge Factory

Knowledge Sharing Model of 24-Hour Knowledge Factory
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Author(s): Huosong Xia (Wuhan University of Science & Engineering, China)and Amar Gupta (University of Arizona, USA)
Copyright: 2010
Pages: 14
Source title: Ubiquitous Developments in Knowledge Management: Integrations and Trends
Source Author(s)/Editor(s): Murray E. Jennex (San Diego State University, USA)
DOI: 10.4018/978-1-60566-954-0.ch009

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Abstract

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.

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