大数据时代产业集群创新生态系统的优化分析  

Optimization Analysis of Industrial Cluster Innovation Ecosystem in The Era of Big Data

作　　者：叶晖[1] 陈海军[1] YE Hui;CHEN Hai-jun(Hunan University of Commerce,Changsha,Hunan 410205,China)

机构地区：[1]湖南商学院,湖南长沙410205

出　　处：《企业技术开发》2018年第8期14-17,共4页Technological Development of Enterprise

基　　金：湖南省教育厅科学研究项目"基于CAS理论的产业集群协同创新行为研究"(16C0887)

摘　　要：构建良好产业集群创新生态系统,是提高产业集群创新能力,推进产业集群可持续发展的有效途径,大数据时代的来临及应用,为产业集群创新提供了更多信息资源和技术支持,对产业集群创新具有重要价值。文章从产业集群创新生态系统的三个层面分析大数据对系统的优化作用,并针对当前大数据在产业集群运用过程中遇到的瓶颈问题提出对策建议。Constructing a good innovation ecosystem of industrial cluster is an effective way to improve the innovation ability of industrial cluster and promote the sustainable development of industrial cluster.The advent of the era of big data and the applica- tion of big data can provide more information resources and technical support for innovation of industrial cluster,which is impro- tant value.This paper analyzed the optimization effect of big data on the system from three levels of industrial cluster innovation ecosystem, and proposed countermeasures and suggestions to solve the bottleneck problems in the application of big data in in- dustrial cluster.

关 键 词：大数据 产业集群 创新 生态系统 

分 类 号：F270[经济管理—企业管理]