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机构地区:[1]陕西师范大学国际商学院,西安710062 [2]兰州财经大学国际经济与贸易学院,兰州730000
出 处:《软科学》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)
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.
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