摘要
目前创新网络演化的数理仿真研究在演化动因、演化形态和演化过程上存在单一性,无法展现创新网络演化的宏微观转化机理和全貌。本文以网络宏微观转化的中间层次——组织间依赖关系为切入点,集成不同的动因视角、形态层次、以及经济和社会互动过程,构建创新网络演化模型,并进行数理仿真。结果显示:创新网络在组织知识提升和外部创新目标变化两大动力的共同作用下、通过组织间知识合作与社会互动进行演化,演化形态主要有三种,通过对密集性、层级性和稳定性三个指标的分析,发现每种形态都有其相应的问题,针对这些问题确立网络协调和治理目标,可以为进一步解决创新网络失败率高的难题奠定基础。
Though as an important R&D form,innovation networks have high failure rates because of the lack of a deep knowledge of its evolution rule.The innovation-network evolution,consequently,becomes an important research topic.Since the complex dynamics of innovation networks is difficult for the traditional analysis methods to describe,the computer simulation method has become a powerful tool.The existing researches on innovation-network evolution,however,focus too narrow issues on evolution drivers,evolution processes and evolution statuses,and fails to address China’s current national strategy of“mass entrepreneurship and innovation”,which emphasizes on the nation’s strong macro orientation,network members’prominent subjectivities and the frequent social interaction between members.Therefore,based on the relevant studies,this paper puts forward the view of inter-organizational dependence which is considered as the nature of inter-organizational relationship in innovation networks and has a comprehensive and dynamic nature itself.This paper establishes a model to simulate the network evolution process and explores the evolution rule.From the view of inter-organizational dependence,this paper firstly establishes a conceptual model of innovation-network evolution through the following steps.For step 1,this paper made model assumptions on evolution drivers by combining the endogenous perspective of micro organizations’dynamic capabilities and the exogenous perspective of macro network’s innovation demands,and setting up the model’s dynamic drivers.For step 2,on the basis of the author’s previous empirical results on inter-organizational dependence’s multi-dimensions and dynamic changing,this paper introduces model assumptions on evolution process to include both knowledge interactions and social interactions among organizations,and form the model’s dynamic mechanism.For step 3,this paper deepens the cognition of static characteristics and the exploration of dynamic rule of macro networks into the mi
作者
石乘齐
SHI Cheng-qi(School of Economics and Management,Shanxi University of Science and Technology,Xi’an 710021,China)
出处
《管理工程学报》
CSSCI
CSCD
北大核心
2019年第1期12-22,共11页
Journal of Industrial Engineering and Engineering Management
基金
陕西省科学技术研究发展计划项目(2014KRM43)
陕西省教育厅专项科研计划项目(12JK0694)
陕西科技大学博士科研启动基金项目(BJ14-10)
西安市社科规划基金课题项目(16J08)
国家自然科学基金资助项目(71372171)
关键词
创新网络
网络演化
组织间依赖
仿真研究
Innovation network
Network evolution
Inter-organizational dependence
Stimulation study
