信息资源管理学报 ›› 2018, Vol. 8 ›› Issue (1): 39-54.doi: 10.13365/j.jirm.2018.01.039

• 研究论文 • 上一篇    下一篇

大数据时代的信息系统行为学研究

孙永强 卢彩凤   

  • 收稿日期:2017-12-26 出版日期:2018-01-26 发布日期:2018-01-26
  • 作者简介:孙永强,男,教授,博士生导师,研究方向为信息系统、知识管理、电子商务,Email:sunyq@whu.edu.cn;卢彩凤,女,硕士研究生,研究方向为知识管理、信息系统。
  • 基金资助:

    本文系教育部人文社会科学基金项目“开放式协同编辑平台中的用户知识整合机制研究”资助(16YJC870011)的研究成果之一。

Information Systems Behavioral Research in Big Data Era

Sun Yongqiang Lu Caifeng   

  • Received:2017-12-26 Online:2018-01-26 Published:2018-01-26

摘要:

大数据时代的到来给信息系统行为学研究带来了巨大冲击,如何应对新的研究情境所带来的严峻挑战并抓住机遇对信息系统行为学研究进行变革,对于信息系统行为学领域的研究学者具有重要意义。为解决此理论需求,本文基于信息系统领域的三大顶级期刊(即MIS Quarterly,Information Systems Research,Journal of Management Information Systems)近5年来的发文数据,系统梳理并可视化地展示了这些论文在三大研究范式(即行为学、技术/设计科学、经济计量学)的分布情况,分析了行为学三大方法(即问卷调查法、实验法和定性分析法)在这些论文中的运用情况。在统计分析的基础上,本研究总结并提炼了信息系统研究(特别是行为学方向)的七大趋势,并以代表性论文为例阐释了混合方法、一文多研、认知神经方法、定性比较等方法在信息系统研究中的运用。结合趋势分析,本文为信息系统行为学领域的研究学者提供了具有针对性的研究对策与建议。

关键词: 大数据, 信息系统研究, 行为学研究, 演化趋势

Abstract:

 The advert of big data era has brought tremendous impact on information systems (IS) behavioral research. How to respond to the challenges caused by the new research context and seize the opportunities to advance the transformations of information systems behavioral research is significantly meaningful for the behavioral researchers in IS field. To fulfill this theoretical demand, this study collects papers published on top three journals in IS filed (i.e., MIS Quarterly, Information Systems Research, and Journal of Management Information Systems) in the past five years, and presents the distributions of the papers among three major paradigms (i.e., behavioral science, technology / design science, and econometrics). Besides, the application of three major behavioral methods (i.e., survey, experiment, and qualitative analysis) through these papers is also presented. Based on the statistical analysis, this study summarizes seven trends in information systems research (especially in behavioral stream) and explains the applications of mixed method, multiple studies, cognitive nuero method, qualitative comparative analysis and so on in information systems research with representative articles. Combined with the trend analysis, this paper provides some countermeasures and suggestions for researchers in the field of IS behavioral research.

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