Research Of Knowledge Transfer Model Based On Organization Behavior Theory

Along with the rise of the knowledge economy and the fierceness of the global competition, knowledge is considered as the primary resource for organization to obtain and retain the sustainable competitive advantage. Knowledge transfer are key means for the organization to acquire knowledge and hence promote its knowledge stock to make knowledge innovation and knowledge effective utilization, which has attracted more attention from many knowledge managers. Lots of empirical study results show that the effective knowledge transfer is benefit for the survival and development of the organization. Therefore, research on knowledge transfer and its influence factors, which is of great significance for both academia and business.Essentially, knowledge transfer is one kind of organization behavior where the actors carry on the knowledge exchange. It is influenced by organization behavior factor inevitably. Based on the complexity analysis of knowledge, knowledge actors, knowledge transfer process and the knowledge transfer environment, and combined with the theory of organizational behavior, we have studied knowledge transfer under two different levels which are individuals and team respectively.Firstly, this paper focuses on the knowledge acquire and transfer between individuals within the organization. Considering that their learning attitude, behavior and knowledge stock will be changed during the process of knowledge exchange, a cellular automata knowledge transfer model is proposed by using two kinds of rules which are the state transition rule and the knowledge exchange rule. Simulation results show that the local interactions between individuals at the micro-level reveal some complex properties like self-organization at the macro-level. The growth of the average knowledge stock is going up with the increase of the ratio of initial active learners. Both the people movement and the expert introduction mechanisms can improve the performance of knowledge transfer and knowledge stocks. Besides, the growth of the average knowledge stock is proportional to the self-learning ability of individuals.Secondly, this paper starts with the various knowledge requirements of a R&D task, and concentrates on the knowledge transferring and sharing behavior between the cross-functional team members during the process of carrying out the team task. Hereby, a knowledge transfer model is proposed based on the match of the task requirements represented by knowledge matrix and team knowledge to study the influence of different strategies for knowledge exchange on the performance of knowledge transfer and task completion by using the given rules, which respectively are the knowledge exchange rule, the collaborative knowledge creation rule and the match rule. Simulation results show that the knowledge exchange strategy based on relations is prone to be stagnating in the later period, which is in favor of rapid transfer but not beneficial for wide transfer of knowledge. However, the knowledge-based strategy has obvious advantage in the later period of the task. It suggests that relation-based knowledge exchange strategy could be used at the very beginning of the task, but in the long run, the knowledge-based strategy could help the team complete the task successfully and efficiently.Finally, we have made a comprehensive summary on the research work. Moreover, some suggestions have been given for the purpose of providing a theoretical guidance for the organization to make effective knowledge transfer and develop a reasonable knowledge management strategy.