摘要
基于复杂网络视角,拓展了市场导向这一理论在中观层面的实践,构建了市场导向下多Agent协同创新网络模型,分析了相关的动态扩散与演化特征,并运用属性嵌入式模拟仿真对复杂网络分析法加以改进。研究表明:少量的用户需求识别,更有利于发挥市场导向对多Agent协同创新的驱动效应;竞争驱动导向与多Agent协同创新效率存在明显的正相关关系;职能协同导向与多Agent协同创新效率呈"U型"关系,且中等水平的职能协同对多Agent协同创新效率提升最显著。
In this paper, the practice of market-orientation conception is widening from medium level based on the complex networks perspective, the multi-agent collaboration network model with market orientation driving is being built, the dynam- ic diffusion and evolution characteristics are being described, and the methodology of complex networks is also improved by attribution embedding. The results are following： the driving effect of low level consumer needs recognition is the more obvi- ous ; there is positive correlative relationship between competition driving and multi-agent collaboration innovation efficiency; the evolution trend of multiple collaborating and multi-agent collaboration innovation efficiency shows as U type and the pro- mote effects of medium level multiple collaborating are more remarkable.
出处
《软科学》
CSSCI
北大核心
2017年第6期19-23,29,共6页
Soft Science
基金
国家自然科学基金项目(71401092)
教育部哲学社会科学研究重大课题攻关项目(14JZD010)
教育部人文社会科学研究西部和边疆地区项目(14XJC910002)
第五十七批中国博士后基金项目(2015M572521)
关键词
市场导向
多AGENT
协同创新
动态扩散与演化
复杂网络
market orientation
multi-agent
collaboration innovation
dynamic diffusion and evolution
complex networks
