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Transformational issues of big data and analytics in networked business

Transformational issues of big data and analytics in networked business
Transformational issues of big data and analytics in networked business
The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.
807-818
Baesens, Bart
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Bapna, Ravi
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Marsden, James R.
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Vanthienen, Jan
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Zhao, J. Leon
8774c5cf-b79f-4cfd-874c-52fbc1687f4a
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Bapna, Ravi
9cf05ab7-f0fc-49a7-89f8-262dfb9a0add
Marsden, James R.
4801242a-48c4-44dc-a876-1b50223e2271
Vanthienen, Jan
d300915c-a81d-48a3-a8d6-648dea9a23da
Zhao, J. Leon
8774c5cf-b79f-4cfd-874c-52fbc1687f4a

Baesens, Bart, Bapna, Ravi, Marsden, James R., Vanthienen, Jan and Zhao, J. Leon (2016) Transformational issues of big data and analytics in networked business. MIS Quarterly, 40 (4), 807-818. (doi:10.25300/MISQ/2016/40:4.03).

Record type: Article

Abstract

The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.

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MISQ Editorial (003) - Accepted Manuscript
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Accepted/In Press date: 1 December 2015
e-pub ahead of print date: December 2016
Published date: December 2016
Organisations: Decision Analytics & Risk, Southampton Business School

Identifiers

Local EPrints ID: 411039
URI: http://eprints.soton.ac.uk/id/eprint/411039
PURE UUID: e4e0cf2d-ec85-4d76-8905-61f15b5c705d
ORCID for Bart Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 13 Jun 2017 16:32
Last modified: 16 Mar 2024 03:39

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Contributors

Author: Bart Baesens ORCID iD
Author: Ravi Bapna
Author: James R. Marsden
Author: Jan Vanthienen
Author: J. Leon Zhao

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