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The Tacit Knowledge and the Knowledge Management Processes: Developing a Relationship-Based Knowledge Matrix Using Simulation to Improve Performance
Abstract
Knowledge management is a new term specific for the new Knowledge Economy, where continuous change is every step and imposes developing knowledge of employees in order to satisfy stakeholders needs and to obtain long-term performance. This chapter will analyse the role of tacit knowledge in obtaining performance and the knowledge processes implemented to achieve its objectives: knowledge acquering, mapping and sharing in order to grow knowledge and knowledge flows. The author presents a simulation model used to analyse the present stock of tacit knowledge and to predict future knowledge for the future activities. It is also developed a relationship-based Knowledge Matrix offering organizations new opportunities for gaining new knowledge. This can be made by implementing models of inter and intra-departmental or inter-organizational knowledge exchange to help organizations find the right employee for the right job, and to identify the right knowledge at the right time and cost.
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