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Business analytics: defining the field and identifying a research agenda

Business analytics: defining the field and identifying a research agenda
Business analytics: defining the field and identifying a research agenda
The Special Issue on business analytics has been a great endeavor with more than 100 papers received. The call for papers highlighted that business analytics has a clear role to generate competitive advantage in organizations and our focus has been to demonstrate this role through the papers finally selected for the special issue. The editorial aims to provide not only a summary of the papers but also presents our perspective on the current situation of the field through a computational literature review and comparison with the papers in the special issue. Our findings, and discussions on the papers included in the Special Issue, suggest that business analytics is maturing as a field with significant synergies and opportunities for the operational research community.
Business analytics, Computational Literature Review, Data science, Practice of OR, Topic Models
0377-2217
483-490
Hindle, Giles
59c4becd-10e9-4895-a285-1d570c0362f3
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Mortensen, Michael
0431b49f-4179-4dd6-a7da-057e708ff6be
Oztekin, Asil
a84d7c2b-b236-47d6-85ce-33340823266a
Vidgen, Richard
142b59c9-7c25-4906-a4df-0e5f1dc401b9
Hindle, Giles
59c4becd-10e9-4895-a285-1d570c0362f3
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Mortensen, Michael
0431b49f-4179-4dd6-a7da-057e708ff6be
Oztekin, Asil
a84d7c2b-b236-47d6-85ce-33340823266a
Vidgen, Richard
142b59c9-7c25-4906-a4df-0e5f1dc401b9

Hindle, Giles, Kunc, Martin, Mortensen, Michael, Oztekin, Asil and Vidgen, Richard (2020) Business analytics: defining the field and identifying a research agenda. European Journal of Operational Research, 281 (3), 483-490. (doi:10.1016/j.ejor.2019.10.001).

Record type: Article

Abstract

The Special Issue on business analytics has been a great endeavor with more than 100 papers received. The call for papers highlighted that business analytics has a clear role to generate competitive advantage in organizations and our focus has been to demonstrate this role through the papers finally selected for the special issue. The editorial aims to provide not only a summary of the papers but also presents our perspective on the current situation of the field through a computational literature review and comparison with the papers in the special issue. Our findings, and discussions on the papers included in the Special Issue, suggest that business analytics is maturing as a field with significant synergies and opportunities for the operational research community.

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EJOR analytics SI editorial v8_final_MM - Accepted Manuscript
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More information

Accepted/In Press date: 1 October 2019
e-pub ahead of print date: 16 October 2019
Published date: 16 March 2020
Additional Information: Publisher Copyright: © 2019 Elsevier B.V. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
Keywords: Business analytics, Computational Literature Review, Data science, Practice of OR, Topic Models

Identifiers

Local EPrints ID: 435701
URI: http://eprints.soton.ac.uk/id/eprint/435701
ISSN: 0377-2217
PURE UUID: 397fa971-394b-44c3-9731-a1948613b412
ORCID for Martin Kunc: ORCID iD orcid.org/0000-0002-3411-4052

Catalogue record

Date deposited: 18 Nov 2019 17:30
Last modified: 08 Jun 2022 04:01

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Contributors

Author: Giles Hindle
Author: Martin Kunc ORCID iD
Author: Michael Mortensen
Author: Asil Oztekin
Author: Richard Vidgen

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