Time optimization of knowledge transfer in high-tech enterprises innovation networks
Based on the analysis of knowledge classification and characteristics in high-tech enterprises innovation networks,a model of expectations of profit is presented,which can determine the optimal time of knowledge transfer.Important factors,such as knowledge absorption capacity,update rate of knowledge in network,discount rate,the time of knowledge transfer,market share,product life cycle,etc are taken into account in the model.The validation of the model is taken by setting these parameters and deriving the optimal time period of knowledge transfer.Simulation results show that the model and the optimal knowledge transfer time are effective and reasonable.A large number of simulated experimental data and comparative analysis with known research results show that this model is more common and realistic than the current works.The presented model is feasible as a basis of decision making of time optimization of knowledge transfer for enterprises.