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| Multiple Innovation Networks and Innovation Performance of Manufacturing Clusters Virtual Transition |
| Jiang Shuyang,Zhuang Yaming |
| (School of Economics & Management，Southeast University，Nanjing 211189，China) |
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Abstract In the environment of manufacturing industry transition to virtualization, the role of multilayer innovation network should be explored. Based on multiagent modeling and empirical analysis, this paper examines the influence of virtual network embedding on innovation performance about regional manufacturing clusters. The results show that the evolution processes of regional innovation performance shows "slow-fast-stable". While virtual network embedding the characteristic performances "fast-stable". Furthermore, this paper examines the impact of technological dynamism, and finds that technological dynamism makes the evolution of regional innovation performance appear inverted U-shaped, while virtual network embedding makes the evolution of cluster innovation performance present upward S-shaped and different technological dynamism emerges different evolution paths. Finally, with the varying degree of virtualization, different rules of innovation performance will emerge. On this basis, the inverted U-shaped relationship between the degree of virtualization and innovation performance of enterprises is empirically tested, so as to provide some ideas on how to take into account the two heterogeneous innovation networks in the process of virtualization transformation for manufacturing enterprises.
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Received: 19 June 2019
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