Modelling and Simulation on Evolution Effect of Knowledge Sharing on Industry Cluster Based on Social Network

ABSTRACT

In order to explain the argument about effect of knowledge sharing on industry cluster, the knowledge accumulation process was modeled based on innovation ability and exchange frequency of knowledge. And then, three curves were simulated, which represent the average knowledge stock of cluster, average deviation of knowledge stock between enterprises, and knowledge accumulation process of each enterprise respectively. The simulation results show that firstly, the innovation ability is the inner driving force to increase knowledge stock of enterprise. The knowledge stock of cluster will increase and the cluster will become much more divergence with the increasing of innovation ability. Secondly, the knowledge exchange frequency is the external driving force to increase the knowledge growth of enterprise. The knowledge stock of cluster will increase and the cluster will also become much more divergence with the increasing of exchange frequency. Thirdly, knowledge sharing will lead the cluster into absolute divergence with relative convergence. These variables will affect the degree of convergence and divergence, but don’t change the final evolution trend. These results are helpful to explain the argument about effects of knowledge sharing and explore the black box of innovation process in cluster.

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