Artificial intelligence and virtual organizations
Communications of the ACM
Communications of the ACM
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
China's E-Science Knowledge Grid Environment
IEEE Intelligent Systems
KFTGA: A tool for tracing knowledge flow and knowledge growth in knowledge sharing environment
Information-Knowledge-Systems Management
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The dynamics of knowledge is important for virtual organizations (VOs) knowledge management (KM) to improve the fast response capabilities and flexible problem solving capabilities of VOs in complex environments. This paper proposes a method of modeling knowledge dynamics in VOs, which is composed of three models: knowledge flow model, knowledge conversion model and knowledge sharing space model. The models depict the dynamics of knowledge and design the operation mechanisms of knowledge in VOs from the perspectives of flow attributes, evolution and innovation features, and sharing and cooperation of knowledge.