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市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真
引用本文:李斌,韩菁.市场导向、多主体协同与创新扩散:基于复杂网络的动态仿真[J].运筹与管理,2019,28(2):67-73.
作者姓名:李斌  韩菁
作者单位:1. 西安财经大学 经济学院,陕西 西安 710062;2. 陕西师范大学 国际商学院,陕西 西安 710062;3. 西安交通大学 管理学院,陕西 西安 710049
基金项目:国家自然科学基金项目“基于协同行为的高效创新团队选择机理与模式研究”(71403158);中国博士后科学基金“不同利益诉求主体协同行为下的知识服务网络重构研究”(2016M590960);陕西省社会科学基金项目“基于DEA-Malmquist指数模型的陕西省区域创新能力研究”(2016D005)
摘    要:市场导向与多主体协同关系密切,是提升创新扩散效率的主要驱动要素。本文首先从协同关系和创新收益两个层面,构建空间结构和有效预期的演化机制,生成复杂网络模型,对多主体协同的创新扩散过程进行动态仿真。其次通过细化市场导向理论在用户需求、竞争驱动和职能协同等不同维度的作用路径,深入分析了市场导向对多主体协同的影响机制。研究表明:(1)市场导向对多主体协同的影响与网络结构动态特征具有高度相关性;(2)少量的用户需求与竞争驱动导向对多主体协同的效益提升最为显著,职能协同导向的影响则呈现周期性“倒U型”波动特征;(3)用户需求导向对多主体协同的创新收益驱动效应最明显,竞争驱动导向的推动效果次之。

关 键 词:市场导向  多主体协同  创新扩散  复杂网络  动态仿真  
收稿时间:2016-10-25

Market Orientation,Multi-agent Collaboration and Innovation Diffusion: Based on Complex Network Dynamic Simulation
LI Bin,HAN Jing.Market Orientation,Multi-agent Collaboration and Innovation Diffusion: Based on Complex Network Dynamic Simulation[J].Operations Research and Management Science,2019,28(2):67-73.
Authors:LI Bin  HAN Jing
Institution:1. School of Economics, Xi'an University of Finance and Economics, Xi'an 710062, China;2. International Business School, Shaanxi Normal University, Xi'an 710062, China;3. School of Management, Xi'an Jiao Tong University, Xi'an 710049, China
Abstract:There exists very close relationship between market orientation and multi-agent collaboration which are the main driving factors for innovation diffusion efficiency improvement. In this paper, firstly the complex network model is built from the evolution mechanism of space structure and effective anticipation in two dimensions——collaborative relationship and innovation benefit, and the innovation diffusion process of multi-agent collaboration is analyzed. And then the influencing mechanism from market orientation on multi-agent collaboration is described by refining the operation paths of customer needs, competitive driving and functional collaboration in market orientation theory. The results show that: (1)there is obviously correlative relationship between networks structure dynamics and the market orientation influence on multi-agent collaboration; (2)the driving effects of low level customer needs and competition driving orientation are more remarkable, and the evolution trend of functional collaboration shows itself as inverted U type; (3)the driving force of the customer needs orientation is the most obvious, and the competition driving orientation takes the second place.
Keywords:market orientation  multi-agent collaboration  innovation diffusion  complex networks  dynamic simulation  
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