Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

被引：394

作者：

Agarwal, Ritu ^{[1
]}

Dhar, Vasant ^{[2
]}

机构：

[1] Univ Maryland, Ctr Hlth Informat & Decis Syst, Robert H Smith Sch Business, College Pk, MD 20742 USA

[2] NYU, Stern Sch Business, Ctr Business Analyt, New York, NY 10012 USA

来源：

INFORMATION SYSTEMS RESEARCH | 2014年 / 25卷 / 03期

关键词：

CONTAGION;

D O I：

10.1287/isre.2014.0546

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

We address key questions related to the explosion of interest in the emerging fields of big data, analytics, and data science. We discuss the novelty of the fields and whether the underlying questions are fundamentally different, the strengths that the information systems (IS) community brings to this discourse, interesting research questions for IS scholars, the role of predictive and explanatory modeling, and how research in this emerging area should be evaluated for contribution and significance.

引用

页码：443 / 448

页数：6

共 13 条

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