摘要
基于开放式创新社区网络的系统特性和结构特点,运用系统动力学模型(SD),以知识转移与流动、人力资本流动和创新收入增长为基础,分析系统中关键变量的动态变化和因果关系,通过对开放式创新社区网络的系统动力学模型建模及仿真检测,识别运行创新网络的关键变量。结果表明:在创新收入基数较大、企业单个项目研发投入相对稳定的条件下,研发资金投入比例的微小变化会带来创新绩效较为显著的变化;知识产权交易比例对创新绩效的影响高于专利产业化比率;知识产权交易比例对创新网络数量的变动趋势影响最显著。
Based on the analysis of the open innovation community network system and the characteristics of structure, this paper applied the System Dynamics(SD)methods, relying on knowledge transfer, flow of manpower capital and innovation income growth to study various crucial factors within the overall system. Through SD modeling and simulation test of the open innovation community networks, it identified the key variables in the running process of the innovative network system. The results show that under the condition of relatively stable enterprise R&D investment and substantial innovation revenue, small changes in R&D investment proportion will bring more significant changes to innovation performance. In addition, the impact of intellectual property rights transaction ratio on innovation performance is higher than the patent industrialization rate, and the intellectual property rights trading ratio is the most significant influential factor than the change of innovation network number.
出处
《北京理工大学学报（社会科学版）》
CSSCI
2014年第3期43-50,共8页
Journal of Beijing Institute of Technology：Social Sciences Edition
基金
国家自然科学基金资助项目(71102170)
关键词
开放式创新
社区网络
知识产权
创新绩效
open innovation
community network
intellectual property
innovation performance
