产学研深度融合与企业科技创新能力提升研究  

Improvement of enterprises’scientific and technological innovation ability with the deep integration of industries,universities and research institutes

作　　者：张筱辰 汤玲玲 ZHANG Xiaochen;TANG Lingling(College of Computer and Cyber Security,Fujian Normal University,Fuzhou 350117,China;Digit Fujian Internet-of-Things Laboratory of Environmental Monitoring,Fujian Normal University,Fuzhou 350117,China;School of Economics and Trade,Guangdong University of Foreign Studies,Guangzhou 510006,China)

机构地区：[1]福建师范大学计算机与网络空间安全学院,福建福州350117 [2]福建师范大学数字福建环境监测物联网实验室,福建福州350117 [3]广东外语外贸大学经济贸易学院,广东广州510006

出　　处：《技术与市场》2022年第8期38-40,43,共4页Technology and Market

基　　金：2021年福建省科协科技创新智库课题研究项目“战略性新兴中小企业科技创新能力提升:基于产业共生与产学研深度融合联动视角”(FJKX-A2104)。

摘　　要：为了准确掌握企业产学研深度融合发展情况,提出一种基于数据分析算法的企业创新能力发展趋势预测方法。针对产学研融合维度进行分析,借助产学研融合的不同维度,通过聚类算法对企业类型进行自适应分类。结合企业类型的分类结果,构建企业的创新能力发展评价指标。引入时间序列预测算法,提出对企业创新能力发展评价指标趋势进行预测的方法。结合企业创新能力综合评价指标发展趋势,给出相应的对策。To meet the requirements of grasping the development of the deep integration of industries,universities and research institutes,this paper proposes a development trend prediction method of enterprise innovation ability based on data analysis algorithm.Firstly,it analyzes the dimensions of integration,and adaptively classifies the enterprises into different types through clustering algorithm.Secondly,combined with the classification results of enterprise types,an evaluation indicator of enterprise innovation ability development is constructed.Then,the time series prediction algorithm is introduced to predict the trend of the evaluation indicator.Finally,combined with the development trend of the constructed indicator,the corresponding countermeasures are given.

关 键 词：产学研融合 科技创新 聚类 时间序列 

分 类 号：F273.1[经济管理—企业管理]