Research On Knowledge Transfer In High-tech Enterprises Technological Innovation Network

High-tech enterprises have become the dominant industry that can promote the development of socio-economy. The demand for knowledge of high-tech enterprises'technological innovation has led to the emergence of innovation network. The cooperation between enterprises and resource sharing in innovation network is bound to be accompanied by knowledge transfer. Transferring knowledge quickly and efficiently are the key strategic elements in the development of high-tech enterprises technological innovation network. Therefore, the study of knowledge transfer in high-tech enterprises technological innovation network has important theoretical and practical significance.There are many factors that influence the activities of knowledge transfer in innovation network, and the relationship between these factors is very complex. How to find out the relationship and the mechanism between factors that influence knowledge transfer in high-tech enterprises technological innovation network, and the contribution to economic development of high-tech enterprises technological innovation network, how to choose partners, and how to determine the optimal time of knowledge transfer are the urgent issues to be considered when studying high-tech enterprises technological innovation network. Researches have mainly focused on the qualitative study of influencing factors, and quantitative study mainly focused on empirical models such as econometric model, game model, DEA or SEM, which is not operational to determine the mechanism between factors, choose partners and find out the optimal time of knowledge transfer. This paper proposes use the method of system dynamics to analyze the mechanism between factors of knowledge transfer in high-tech enterprises technological innovation network, use the method of multi-objective fuzzy optimization to choose the best partner, and use time optimization model to find out the optimal time of knowledge transfer. The paper also presents the relevant quantitative indicators of knowledge transfer, and establishes models, which could provide more operational quantitative research of the activities of knowledge transfer in high-tech enterprises technological innovation network, and gives some policy recommendations. The main contents of the paper include:Firstly, we analyze the characteristics of knowledge transfer in high-tech enterprises technological innovation network. High-tech enterprises technological innovation network has systemic and non-linear characteristics. Knowledge has great impact on the growth of enterprises, the enhancement of enterprises'competitiveness and the economic development of innovation network. Based on the classification of knowledge in high-tech enterprises technological innovation network, we analyze influencing factors, the general process and the basic pattern. Through analysis, we conclude that one of the ultimate goals of knowledge transfer is the standardization and institutionalization of knowledge, and the enhancement of innovation capability of the whole innovation networks. We propose that the main channels of knowledge transfer in high-tech enterprises technological innovation network be R&D cooperation and technical standard cooperation.Secondly, we use the method of system dynamics to build the system dynamics model of knowledge transfer in high-tech enterprises technological innovation network. Based on the analysis of the influence of knowledge transfer on economic growth of innovation networks, we take the activity of knowledge transfer in high-tech enterprises technological innovation network as a system, use the method of system dynamics to analyze the causal relationship between organizations, construct system dynamics model, and simulate the contribution of knowledge transfer to the economy of high-tech enterprises technological innovation network. By adjusting the sensitive parameters, we can predict the economic contribution of knowledge transfer in high-tech enterprises technological innovation network under different circumstances. So we identify the relationship and the mechanism between factors that influence knowledge transfer in high-tech enterprises technological innovation network, and the contribution to economic development of high-tech enterprises technological innovation networkThirdly, we use multi-objective fuzzy comprehensive evaluation method to build organizations'cooperation optimization model of knowledge transfer in high-tech enterprises technological innovation network. According to the position in innovation network and the functions of organizations, we analyze the factors that influence partners'choice, establish the evaluation index system of knowledge transfer, construct quantitative decision-making model by using multi-objective optimization decision-making theory and thus give decision-making support for partners'selection of knowledge transfer.Fourthly, we establish a time optimization model of knowledge transfer, hoping that the expectations of profit are maximized. Based on the analysis of time risk and influencing factors 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. By setting the parameters of the model, we can obtain the optimal time for knowledge transfer.Lastly, based on the above research results and analysis of influencing factors of knowledge transfer and the mechanism between factors, the cooperation strategy for knowledge transfer and the method of optimal time for knowledge transfer, we take some countermeasures to promote knowledge transfer in high-tech enterprises technological innovation networks, and give some policy recommendations.