The Simulation Of Knowledge Flowbased On The Participants' Behavior Modeling

Knowledge Management refers to the process of developing and making efficient use of knowledge resources within a firm. The purpose of Knowledge Management is to increase innovation and the capability of creating values of the firm.In the enterprise business or knowledge management, it is critical to find a suitable person to solve the specific operational problem. For example, some employees need to consult other experienced experts for help. The situation above can be abstracted as a knowledge flow. It is necessary for knowledge providers to have a command of the capabilities of all the employees in the knowledge management process so that they can quickly select the suitable expert for specific problems. Therefore, how to evaluate the capabilities of employees from their participation in problem solving has practical significance.This dissertation mainly focuses on the enterprise knowledge flow. We use a mathematical method to model various features of each participant in enterprise knowledge flow such as age, ability, knowledge structure, etc.; and then form an evaluation formula. Through analyzing the behavior of each role, we establish the appropriate behavioral models correspondingly. The system will help to evaluate the participants'credibility and capability by the evaluation algorithms. The results of the evaluation will be used for the selection of the participants in the knowledge flow. The simulation of knowledge flow will demonstrate the supply and demand of knowledge. This mechanism will be very helpful in the selection of the most appropriate experts to resolve the problems faced by the enterprise effectively and efficiently.