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The analysis revealed how this variation in perceived effects can be explained by different dynamics with regard to system-wide adaptation, local adaptation, professionals' resistance to change, ease of knowledge sharing, bureaucracy, overhead, uniform brand presentation, accelerating effects and reliable performance levels.
Variations in the level of bureaucracy, ease of knowledge sharing, and system-wide adaptation appear to be additional reasons.
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270 knowledge workers of knowledge-based organisations were surveyed about their perceptions of knowledge sharing capability, and knowledge sharing success.
The results show that knowledge sharing is a coordination game with multiple equilibria, reflecting the fragility of knowledge sharing between innovators with conflicting interests.
Trust is an important facilitator of knowledge sharing.
Rachel Collinson is director of knowledge sharing and innovation at Engaging Networks.
The experimental results demonstrate important asymmetries in the fragility of knowledge sharing and, in some situations, more knowledge sharing than theoretically predicted.
This shift, referred to as Web 2.0, includes the use of new tools that are designed to support collective knowledge sharing with interfaces that promote ease of editing and real-time changes unlike their web site predecessors [ 15].
The need of taxonomy is vital for knowledge sharing.
The major contribution of our study focuses on knowledge sharing.
We derive a non-exhaustive typology of MNC knowledge-sharing practices: self-organizing knowledge sharing, technocratic knowledge sharing, and best practice knowledge sharing.
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