网络大数据在在线用户创新研究中的应用:现状与展望
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  • 英文篇名:Application of Network Big Data in Online User Innovation Research: Current Situation and Future Prospect
  • 作者:王楠 ; 李瑶
  • 英文作者:Wang Nan;Li Yao;School of Business,Beijing Technology and Business University;School of Economics and Management, Tsinghua University;
  • 关键词:网络大数据 ; 线上用户创新 ; 现状与展望
  • 英文关键词:network big data;;online user innovation;;current status and prospects
  • 中文刊名:KJGL
  • 英文刊名:Science and Technology Management Research
  • 机构:北京工商大学商学院;清华大学技术创新研究中心;
  • 出版日期:2019-02-20
  • 出版单位:科技管理研究
  • 年:2019
  • 期:v.39;No.422
  • 基金:国家自然科学基金青年项目“企业网络创新社区中用户在线参与创新行为影响因素及用户间互动作用机制研究”(71602006);; 北京市社会科学基金项目“网络零售管理基础理论研究”(15ZDB22);; 北京市教学科学“十二五”规划青年专项课题“基于大学生社交网络学习特征的创业教育支持体系构建”(CDA15179);; 北京市自然科学基金资助项目“互联网环境下首都实体零售企业商业模式创新研究”(9174032)
  • 语种:中文;
  • 页:KJGL201904029
  • 页数:5
  • CN:04
  • ISSN:44-1223/G3
  • 分类号:213-217
摘要
介绍网络大数据的定义与内涵,总结网络大数据在网络舆情分析、市场营销分析、企业绩效分析和线上用户创新等方面的应用。通过对国内外文献的梳理,重点分析网络大数据在用户分类、用户创意质量、用户创意采纳和用户创意情感分析四方面的研究现状,并对未来研究方向进行展望。
        The application of big data makes research more reliable, but it has not formed scale. This paper introduces the definition and connotation of network big data, and summarizes the application of network big data in network public opinion analysis, marketing analysis, enterprise performance analysis and online user innovation. Through the combing of domestic and foreign literatures, this paper focuses on the research status of network big data in user classification, user creative quality, user creative adoption and user creative sentiment analysis, and prospects for future research directions.
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