大数据时代的信息系统行为学研究

Information Systems Behavioral Research in Big Data Era

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。

The advert of big data era has brought tremendous impact on information systems （IS） behav- ioral research. How to respond to the challenges caused by the new research context and seize the opportu- nities 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 Man- agement 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 infor- mation 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.