Big Data Research in Information Systems: Toward an Inclusive Research Agenda

被引:0
作者
Abbasi, Ahmed [1 ]
Sarker, Suprateek [1 ,2 ]
Chiang, Roger H. L. [3 ]
机构
[1] Univ Virginia, McIntire Sch Commerce, Charlottesville, VA 22903 USA
[2] Aalto Univ, Sch Business, Espoo, Finland
[3] Univ Cincinnati, Carl H Lindner Coll Business, Cincinnati, OH 45221 USA
来源
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS | 2016年 / 17卷 / 02期
关键词
Big Data; Behavioral; Business Analytics; Business Intelligence; Design Science; Economics of IS; Information Value Chain; Research Directions; SOCIAL MEDIA ANALYTICS; DECISION-SUPPORT; USER ACCEPTANCE; COGNITIVE FIT; BUSINESS INTELLIGENCE; KNOWLEDGE MANAGEMENT; DESIGN SCIENCE; CREDIBILITY; TECHNOLOGY; DISCOVERY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Big data has received considerable attention from the information systems (IS) discipline over the past few years, with several recent commentaries, editorials, and special issue introductions on the topic appearing in leading IS outlets. These papers present varying perspectives on promising big data research topics and highlight some of the challenges that big data poses. In this editorial, we synthesize and contribute further to this discourse. We offer a first step toward an inclusive big data research agenda for IS by focusing on the interplay between big data's characteristics, the information value chain encompassing people-process-technology, and the three dominant IS research traditions (behavioral, design, and economics of IS). We view big data as a disruption to the value chain that has widespread impacts, which include but are not limited to changing the way academics conduct scholarly work. Importantly, we critically discuss the opportunities and challenges for behavioral, design science, and economics of IS research and the emerging implications for theory and methodology arising due to big data's disruptive effects.
引用
收藏
页码:I / XXXII
页数:32
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