Research On The Influence Of Technological Innovation Network Organization On Innovation Performance

Under the background of globalization,the competition among companies is becoming increasingly fierce,making the manufacturing enterprises transform from simple processing and production to innovative enterprises.Innovation ability is particularly important in the enterprise competition.After years of development,the innovation model of manufacturing companies has also evolved from the traditional independent innovation of enterprises to the cooperation of technological networks.This means that companies continuously obtain heterogeneous resources from outside research institutions such as universities and colleges,as well as government and financial institutions.With the assistance of other agencies,they will jointly complete innovation activities to obtain greater innovation output.The resulting technological innovation network has also become a hot topic in the study of innovation theories.This article finds out that the technical innovation network performance is one of the research hotspots through the combing of relevant literatures,including the innovation performance evaluation,the influencing factors of innovation performance and so on.The methods used include questionnaire surveys,structural equations,and system dynamics.Among them,system dynamics is widely used in network innovation performance.This paper uses system dynamics to study the influence of network structure on innovation performance.The content of this paper mainly includes the following three aspects:(1)Build the network: Determine the time lag of the patent as two years according to relevant documents,obtain the information of the applicant for the patent right from 2012 to 2016 through crawler,and use it as the network node,then build its Beijing Patent Cooperation Innovation Network from 2010 to 2014 with its patent cooperation relationship;(2)Analysis Network: Using network analysis to analyze the network structure of the resulting network using UCINET,including network scale and network density.And network-centricity,and statically analyze the impact of network structure and information level on innovation performance at the theoretical level;(3)Empirical research: Construct a system dynamics model of the technology innovation network,verify relevant assumptions,and influence the dynamic research network.The following conclusions are drawn: There is a positive correlation between network scale,center potential,and innovation performance level,and there is a U shape relationship between network density and innovation performance level.In addition,from the perspective of system dynamics application,the network structure parameters are introduced into the system dynamics model of the technology innovation network based on previous research,and the model is further improved.