多主体参与已经成为现代经济环境下企业创新活动的基本特征。为了明确各创新主体参对企业创新模式选择的影响。本文构建了一个包括供应商和顾客参与的创新模式选择博弈模型。对模型分析发现,根据企业选择的创新模式不同,可以形成三种竞争市场,采用演化博弈方法对模型均衡结果求解,得到以下结论:供应商和顾客参与能增加企业选择突破性技术创新模式的比重,减少选择渐进性技术创新比重,且这种影响随着市场中选择突破性技术创新比例增加而增加;当创新产品为价格弹性需求时,顾客参与更能促进突破性技术创新,当创新产品为价格非弹性需求时,供应商参与更能促进突破性技术创新,这与渐进性技术创新的结论截然相反。采用数值算例对结果进行分析,进一步验证了上述结论。本文的研究结论有助于揭示多主体参与对创新模式选择的影响,也对在多主体参与条件下,企业的创新资源配置这一创新的核心问题做出了一定的解释。
Multi-agent participation has become the basic characteristic of enterprise innovation activities in modern economy environment. In order to confirm the influence of innovation agents on enterprises innovative modes selection, the innovative mode selection game model including the participation of suppliers and customers is build in this paper. From the analysis of the model, it is found that according to the different innovative modes selected by enterprises, three competitive markets can be formed, including Stackelberg market, Cournot market and complete monopoly market. Using evolutionary game method, the equilibrium solutions to the model can be found. The following conclusions can be draw: the participation of suppliers and customers will increase the proportion of companies which choose radical technology innovation. Accordingly, the desire of companies choosing incremental technology innovation will decline. Besides, this effect will be strengthened with the increasing of the proportion of radical technological innovation in the market. When the demand is elastic, customer participation can promote radical technological innovation. Whereas, radical technological innovation can be enhanced by the supplier participation while the demand is inelastic. To incremental technology innovation, this conclusion is completely opposite. Numerical examples are used to analyze the results, which further verify the conclusion. The research conclusions of this dissertation contribute to revealing the influence of multi-agent participation on innovative modes selection and make some explanations to the core issue of innovation of enterprises innovative resources allocation in the condition of multi-agent participation.
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