摘要
现有研究对竞争创新扩散探讨不够深入,更鲜少剖析采纳者的特征和采纳者互动对竞争创新扩散格局的影响。使用稠密人际网络拟合创新的潜在采纳者网络,使用多智能体建模仿真方法定量分析了当同类的两种创新同时进入市场扩散时,采纳者的创新性差异、采纳者互动形成的网络结构、以及局部网络效应强度变化对竞争创新扩散格局的影响。研究表明,p-GNC网络的平均度越小、网络越聚集,越有利于技术升级慢的创新,且网络平均度对竞争创新扩散格局的影响更大;局部网络效应越强、创新先驱者比例越高,越有利于技术升级慢的创新;在局部网络效应强的网络中,网络结构对竞争创新扩散格局的影响更大。
Few researches have explored competitive innovation diffusion and analyzed the characteristics and interaction of adopters on the pattern of diffusion. It uses the densenetwork to fit the potential adopter network.With the multi-agent modeling and simulation method, it analyzes the influence of innovativeness of adopters,network structure and local network effect intensity on the pattern of diffusion when two kinds of innovations of the same kind enter the market and spread at the same time. The results show that the innovation with slow technology upgrading is easier to diffuse in the social network with smaller average degree and bigger clustering coefficient, and the influence of average degree on competitive diffusion pattern is greater. The stronger the local network effect is and the higher the proportion of innovators is, the more conducive to innovation with slow technology upgrading. Moreover, in the network with strong local network effect, the network structure has a greater impact on competitive diffusion.
作者
蔡霞
宋哲
耿修林
CAI Xia;SONG Zhe;GENG Xiulin(School of Business Administration,Nanjing University of Finance and Economics,Nanjing 210023,China;Business School,Nanjing University,Nanjing 210093,China)
出处
《科学学与科学技术管理》
CSSCI
CSCD
北大核心
2019年第11期125-137,共13页
Science of Science and Management of S.& T.
基金
国家自然科学基金青年项目(71902081)
江苏高校哲学社会科学研究基金一般项目(2019SJA0249)
