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Proximity and Evolution of Independent Collaboration Innovation Network:Evidence from IC Industry Chain |
Yu Yongda,Yan Shengfeng |
The School of Public Policy and Management (SPPM) of Tsinghua University, Beijing 100084,China |
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Abstract With the evolvement of science and technology, more and more innovation activities are conducted by multiple organizations, but consensus on understanding the mechanism of collaboration innovation has not been established yet. This research tries to establish a comprehensive framework by employing and social network theory and introducing multi-dimensional proximity. This research employed a full sample complex network analysis and MRQAP analysis method, using collaboration patent data from 1985 to 2015 in IC industry chain, and found: Geographic proximity, knowledge cumulative proximity, knowledge structure proximity and innovation envioronment proximity are factors affecting collaboration partner selection. With the evolution of IC industry chain, the significance of geographic proximity on facilitating innovation collaboration is declining, and becomes lower than knowledge structure proximity since maturity of industry chain. The significance of knowledge structure proximity shows a U-shape. The significance of knowledge cumulative proximity and innovation environment proximity after the industry chain gets mature shows that the Matthew Effect has occurred within the innovation network.
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Received: 18 January 2017
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Corresponding Authors:
Yu Yongda
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