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

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 da...

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Vydáno v:Journal of the Association for Information Systems Ročník 17; číslo 2; s. I - XXXII
Hlavní autoři: Abbasi, Ahmed, Sarker, Suprateek, Chiang, Roger
Médium: Journal Article
Jazyk:angličtina
Vydáno: Atlanta Association for Information Systems 01.02.2016
Témata:
Big Data
Business intelligence
Data analysis
Decision making
Editorials
Information systems
Knowledge management
Relational data bases
Researchers
Scholars
Structured Query Language-SQL
Traditions
Value chain
United States > US
ISSN:1536-9323, 1536-9323
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Popis
Shrnutí: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.
Bibliografie:SourceType-Scholarly Journals-1
content type line 14
ObjectType-Editorial-2
ObjectType-Commentary-1
ISSN:1536-9323
1536-9323
DOI:10.17705/1jais.00423