大数据驱动的高校科技管理决策研究  

Research on Science and Technology Management Decision Driven by Big Data in Universities

作　　者：施振佺 郭畅[2] Shi Zhenquan;Guo Chang(Department of Science and Technology,Nantong University,Nantong,226019;School of Science,Nantong University,Nantong,226019)

机构地区：[1]南通大学科学技术处,江苏南通226019 [2]南通大学理学院,江苏南通226019

出　　处：《科技管理研究》2021年第21期24-29,共6页Science and Technology Management Research

基　　金：2020年度江苏省高校自然科学基金项目“面向决策支持的地方高校科技创新能力的挖掘研究”(20KJB630007)。

摘　　要：通过分析科技管理中的大数据特征,研究大数据对科技管理决策的作用机理。在此基础上,分析大数据驱动高校科技管理决策的要素、关键环节和特点,研究大数据驱动的科技管理决策模型结构,提出大数据驱动科技管理决策是解决高校科技管理高效精准决策的有效办法,最终给出推动大数据驱动高校科技管理决策的建议。By analyzing the characteristics of big data in science and technology management,we study the action mechanism of big data on science and technology management decision-making.On this basis,we analyze the elements,key links and characteristics of big data-driven University Science and technology management decisionmaking.We also study the structure of big data-driven science and technology management decision-making model,and put forward that big data-driven science and technology management decision-making is an effective way to solve the efficient and accurate decision-making of University Science and technology management.Finally,we give some suggestions to promote big data-driven University Science and technology management decision-making.

关 键 词：大数据 科技管理 决策 

分 类 号：G311[文化科学]