摘要
科技大数据在科技创新、社会经济运行和国家安全等活动中发挥着重要的作用,其价值评估问题是目前学术界和工业界关注的难题。基于价值链理论和品牌价值理论,本文构建了科技大数据的全过程价值链模型,提出了科技大数据的核心价值链;基于科技大数据核心价值链,构建了科技大数据价值评估指标体系,并针对其中难以量化的关键指标,提出了基于社交网络分析和动态主题模型的指标测度方法,同时以科技论文数据为例验证了所提测度方法的有效性。本文研究为科技大数据价值评估难题提供了新的研究视角、理论框架和模型方法。
Scientific big data plays an important role in scientific and technological innovation,socio-economic operation and national security.Its value evaluation is a difficult problem concerned by academy and industry.Based on the value chain theory and brand value theory,this paper constructs a whole-process value chain model of scientific big data,and designs a core value chain model of scientific big data.Based on the core value chain model,we design a criteria system to evaluate the value of scientific big data.For the criteria which are difficult to measure,the evaluation methods based on social network analysis model and dynamic topic model are constructed,and the effectiveness of the proposed methods is verified with the data of academic papers.This research provides a new research perspective,theoretical framework and theoretic models for the problem of value evaluation for scientific big data.
作者
姜元春
王继成
贺菲菲
陈航
刘业政
JIANG Yuan-chun;WANG Ji-cheng;HE Fei-fei;CHEN Hang;LIU Ye-zheng(School of Management,Hefei University of Technology,Hefei 230009,China;Key Lab of Process Optimization and Intelligent Decision-making,Ministry of Education,Hefei 230009,China)
出处
《工程管理科技前沿》
CSSCI
北大核心
2022年第3期31-38,共8页
Frontiers of Science and Technology of Engineering Management
基金
国家重点研发计划资助项目(2018YFB1402600)。
关键词
科技大数据
价值评估
价值链模型
机器学习方法
scientific big data
value evaluation
value chain model
machine learning model
作者简介
通讯作者:刘业政,合肥工业大学管理学院教授,博士生导师,研究方向:电子商务与网络空间管理,大数据分析与决策科学。E-mail:liuyezheng@hfut.edu.cn。
