产业生命周期不同阶段的最优集体创新网络结构

Abstract

Abstract: The optimistic structures of collective innovation networks in different stages of industry life circle with simulation methods are explored in this paper. The result shows that in the initial stage of industry life circle, regular networks with high average clustering coefficient are the most efficient for innovation; In the growth stage of industry life circle, small-world networks with high small-world coefficient are the most efficient for innovation; In the developed stage of industry life circle, random networks with low average path lengths are the most efficient for innovation. With further analysis, the reasons of these results are discovered,which are divided into three hierarchies as below. Firstly, knowledge features and technical opportunities are different in different stages of industry life circle. Secondly, knowledge features influence the flows of knowledge and determines enterprises' ability of recombination of knowledge, whereas technical opportunities influence the seeking and discovering of innovation opportunities by enterprise. Thirdly, high average clustering coefficients of structures conduce to better knowledge flows, whereas short average shortest path lengths make innovation opportunities easier to find. At last, some important advices are proposed to innovation policy makers.

Key words: industry life circle, collective innovation, network structure, efficiency

CLC Number:

F270

HUA Lei, WANG Wen-ping. Optimistic Structures of Collective Innovation Networks in Different Stages ofIndustry Life Circle[J]. Chinese Journal of Management Science, 2013, 21(5): 129-140.

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Optimistic Structures of Collective Innovation Networks in Different Stages ofIndustry Life Circle

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