Big data: A framework for research

Tadhg Nagle; David Sammon

doi:10.3233/978-1-61499-399-5-395

Big data: A framework for research

Tadhg Nagle
, David Sammon

Cork University Business School

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

Abstract

Big Data is not the first and most definitely not the last new term that the IT industry is going to coin in order to drive interest and investment in new technology. Moreover, with these new terms, an opportunity is afforded for the research community to objectively understand the impact (or lack thereof) on organizations and decision makers. This paper provides a high-level framework to guide researchers in the area of Big Data through a conceptualization of the Information Supply Chain. The Information Supply Chain can be used as a scoping device for researchers in positioning their work but also as a tool to enable stronger objectivity and prevent an automatic resistance or acceptance of the new term/trend.

Original language	English
Title of host publication	DSS 2.0 - Supporting Decision Making with New Technologies
Editors	Gloria Phillips-Wren, Sven Carlsson, Ana Respicio, Patrick Brezillon
Publisher	IOS Press BV
Pages	395-400
Number of pages	6
ISBN (Print)	9781614993988
DOIs	https://doi.org/10.3233/978-1-61499-399-5-395
Publication status	Published - 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	261
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Big Data
Information Supply Chain

Access to Document

10.3233/978-1-61499-399-5-395

Cite this

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Big data: A framework for research. / Nagle, Tadhg; Sammon, David.
DSS 2.0 - Supporting Decision Making with New Technologies. ed. / Gloria Phillips-Wren; Sven Carlsson; Ana Respicio; Patrick Brezillon. IOS Press BV, 2014. p. 395-400 (Frontiers in Artificial Intelligence and Applications; Vol. 261).

Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review

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Big data: A framework for research

Abstract

Publication series

UN SDGs

Keywords

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