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Value Model of Knowledge Diffusion in High Technology Innovation Networks

Abstract : To measure the influence of knowledge diffusion and information exchange between enterprises on high-tech innovation networks’ production and operation, a production model and innovation model based on a network diffusion process are introduced. The knowledge diffusion process treated as an learning-by-observing process in a random network are influenced both by network’s structure and non-structure properties. We analyze the influence of diffusion process theoretically and find that, if given the precondition that initial belief and belief elasticity follow a normal distribution, an increase in mean of initial belief would lead to increase in PV and IV; otherwise, mean of belief elasticity would have a opposite effect on PV and IV under some different conditions. Finally, we give the condition to compare knowledge diffusions in two high-tech networks with same mean degree but different variance.
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Yu Xiao, Jingti Han. Value Model of Knowledge Diffusion in High Technology Innovation Networks. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. pp.331-339, ⟨10.1007/978-3-642-55355-4_34⟩. ⟨hal-01350940⟩

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