Based on the actual situation of the knowledge flow during industrial transfer, a dynamic model of knowledge flow in a complex network is built. The mechanism of the knowledge flow in the network is analysed, and an analogue simulation is conducted using the Netlogo platform to identify the effects of the network's average degree, the number of enterprises involved in the transfer, the network size, and the effective transmission rate of the knowledge on the efficiency of the knowledge flow in the network. According to the final steady state of the knowledge, the technology spillover effect of the industrial transfer is then discussed. The research results show that the average degree of the network, the number of enterprises involved in the transfer, and the effective transmission rate of the knowledge have significant influences on the efficiency of the knowledge flow in the network, and increasing the network size is beneficial to increasing the number of final knowledge owners. Thus, the final steady state of the knowledge flow plays a decisive role in the technology spillover effect of industrial transfer.
The article analyzed the attitude and role of stakeholders in the service industry, straighten out the logic relationship, construct both bottom-up and top-down sandwich type vertical structure, but also horizontally through the multi-agent coordination management to realize the subject interests and industrial balanced network governance structure of service industry in the end, in view of the governance structure and mechanism of service industry, based on the governance oriented service industry development countermeasure and the suggestion.
Governance is an important way to build effective cooperative relations in the competition to obtain strategic advantages. Based on previous studies more focus on formal relationship "bilateral cooperation", ignore the network context, cooperation between tourist destination often on informal relationship, and constantly in the interactive relationship between the multilateral evolution and refactoring. Therefore, it is of great strategic significance to explore the mechanism of destination governance from the perspective of network. The results of social network analysis show that the centrality and agglomeration play an important role in identifying the cooperation advantages of tourist destinations in the network. For destination consciously adjust and reconstruct their online activities to gain strategic advantage, and competition relationship of regional tourism cooperation and integration provides a theoretical guidance and decision-making reference.
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