| With the development of economic and scientific globalization and knowledge economy, High-technology Industry Cluster gradually becomes the important mode of the worldwide High-Technology Industry as well as the impetus of regional economic developments and academia. In the economic environment of modern network, based on the rapid development of information and communication technology and the level of computer network technology, draw on the operating virtual mechanism, there has been High-technology Virtual Industry Cluster (HTVIC)."Knowledge accumulation" formed the basis of HTVIC, which maintains dynamic and responsive features of high-technology enterprise and formate scale of groups, increasing the overall competitiveness of the cluster. Therefore, it is necessary to carry out HTVIC, particularly the mechanism of its knowledge conversion into systematic research.The dissertation made analysis and comments on the state of High-technology Industry Cluster, Virtual Industry Cluster, and theory of knowledge transfer, defined content and features of HTVIC. And the HTVIC internal knowledge transfer activity and forms of classification was studied. In this dissertation, combining with HTVIC characteristics as research background, concrete process of knowledge transfer as a starting point, put forward the identification, with knowledge gap, knowledge spillovers and knowledge learning as the core HTVIC knowledge transfer mechanism framework of research.Defined the knowledge gap to generate and connotation, designed the HTVIC knowledge gap recognition process. On the knowledge gap type partition basis for knowledge, demand and supply were analyzed, based on the knowledge of both accidentally diagram theory matching. Using cost-income function of knowledge gap offset the cost analysis, and then put forward the knowledge gap remedy selection strategy.In explicit knowledge spillovers HTVIC on the basis of its connotation, from cluster knowledge system integration, cooperative relationship between members and informal overflow research in knowledge spillovers channel of establishing analyses. And the knowledge spillovers way and the influence factors are studied in detail. And then put forward by cluster admittance system, credit evaluation system of exit and knowledge resource pool of construction and management of knowledge spillovers guarantee strategies.In explicit HTVIC organizational learning meaning, on the basis of knowledge learning driving factors and premise is analyzed. Will be divided into individual knowledge learning, team, within the organization, the three levels of knowledge learning and hierarchies of transformation between were studied. Combined with the knowledge learning levels on organizational learning process are analyzed in detail, and expounds HTVIC organizational learning forms. Build a small world network model of knowledge learning mechanism makes a detailed analysis, and then design knowledge learning strategies.Knowledge transfer effect analysis mainly from the direction of cooperative innovation. First defines the meaning and characteristic of HTVIC cooperative innovation. Secondly, in the explicit knowledge transfer and cooperative innovation connected was analyzed on the basis of knowledge transfer and cooperative innovation, mutual influence. On the knowledge transfer of the performance evaluation of research, this dissertation constructed HTVIC characteristics of knowledge transfer performance evaluation index system. Altogether four contains one class index, four secondary indexes and 15 level 3 indexes, and combined with BP neural network construction of knowledge transfer performance evaluation model.In the same study, designed HTVIC based on the operation of the mechanism of knowledge transfer strategy. With biological pharmaceutical virtual industrial cluster for example, to its members of knowledge transfer mechanism between the actual analyzed to verify the HTVIC knowledge transfer mechanism of the practicability and rationality.
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