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《Journal of Management Science》 2013-06
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Study on the Optimal Innovation Collaboration Performance in the Industrial Clusters from the Aspect of Network Efficiency Optimization

Huang Weiqiang;Yao Shuang;Zhuang Xintian;School of Business Administration,Northeastern University;School of Economics and Management,Shenyang University of Chemical Technology;  
Based on innovation collaboration network of cluster,we build a rational decision model of innovation collaboration and self-organized evolution mechanism of collaboration network. We use numerical simulations to explore dynamic evolution and final stable network,and perform genetic algorithms to optimize and compute efficient innovation networks. We then compare the efficiency,fairness,topology structural properties of stable and efficient networks,and knowledge complementation of innovation collaboration network of cluster under different knowledge spillover efficiency. We find that collaboration can reach stable state through self-organizing. The efficiency of self-organized network remains a greater range when the knowledge spillover efficiency is middle. Stable network is a small world network that leads the optimal efficiency to close random network. Low efficiency of self-organized collaboration network is from insufficient connections,lack of costly distant connections,too localized connections, asymmetries connections between organizations under"preference connection",and too much dependence on knowledge complementation. At last,we put forward implications for the innovation collaboration performances in the industrial cluster from network efficiency optimization.
【Fund】: 国家自然科学基金(71001022 71201108 71371044);; 中国博士后科学基金(20100471460 2013T60295)~~
【CateGory Index】: F062.9;F224
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