How do top- and bottom-performing companies differ in using business analytics?

2.50
Hdl Handle:
http://hdl.handle.net/10547/622258
Title:
How do top- and bottom-performing companies differ in using business analytics?
Authors:
Cao, Guangming; Duan, Yanqing ( 0000-0003-4205-7403 )
Abstract:
Purpose Business analytics (BA) has attracted growing attention mainly due to the phenomena of big data. While studies suggest that BA positively affects organizational performance, there is a lack of academic research. The purpose of this paper, therefore, is to examine the extent to which top- and bottom-performing companies differ regarding their use and organizational facilitation of BA. Design/methodology/approach Hypotheses are developed drawing on the information processing view and contingency theory, and tested using multivariate analysis of variance to analyze data collected from 117 UK manufacture companies. Findings Top- and bottom-performing companies differ significantly in their use of BA, data-driven environment, and level of fit between BA and data-drain environment. Practical implications Extensive use of BA and data-driven decisions will lead to superior firm performance. Companies wishing to use BA to improve decision making and performance need to develop relevant analytical strategy to guide BA activities and design its structure and business processes to embed BA activities. Originality/value This study provides useful management insights into the effective use of BA for improving organizational performance.
Citation:
Cao G, Duan Y (2017) 'How do top- and bottom-performing companies differ in using business analytics?', Journal of Enterprise Information Management, 30 (6), pp.874-892.
Publisher:
Emerald Publishing Limited
Journal:
Journal of Enterprise Information Management
Issue Date:
21-Sep-2017
URI:
http://hdl.handle.net/10547/622258
DOI:
10.1108/JEIM-04-2016-0080
Additional Links:
http://www.emeraldinsight.com/doi/full/10.1108/JEIM-04-2016-0080
Type:
Article
Language:
en
ISSN:
1741-0398
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorCao, Guangmingen
dc.contributor.authorDuan, Yanqingen
dc.date.accessioned2017-09-29T08:35:53Z-
dc.date.available2017-09-29T08:35:53Z-
dc.date.issued2017-09-21-
dc.identifier.citationCao G, Duan Y (2017) 'How do top- and bottom-performing companies differ in using business analytics?', Journal of Enterprise Information Management, 30 (6), pp.874-892.en
dc.identifier.issn1741-0398-
dc.identifier.doi10.1108/JEIM-04-2016-0080-
dc.identifier.urihttp://hdl.handle.net/10547/622258-
dc.description.abstractPurpose Business analytics (BA) has attracted growing attention mainly due to the phenomena of big data. While studies suggest that BA positively affects organizational performance, there is a lack of academic research. The purpose of this paper, therefore, is to examine the extent to which top- and bottom-performing companies differ regarding their use and organizational facilitation of BA. Design/methodology/approach Hypotheses are developed drawing on the information processing view and contingency theory, and tested using multivariate analysis of variance to analyze data collected from 117 UK manufacture companies. Findings Top- and bottom-performing companies differ significantly in their use of BA, data-driven environment, and level of fit between BA and data-drain environment. Practical implications Extensive use of BA and data-driven decisions will lead to superior firm performance. Companies wishing to use BA to improve decision making and performance need to develop relevant analytical strategy to guide BA activities and design its structure and business processes to embed BA activities. Originality/value This study provides useful management insights into the effective use of BA for improving organizational performance.en
dc.language.isoenen
dc.publisherEmerald Publishing Limiteden
dc.relation.urlhttp://www.emeraldinsight.com/doi/full/10.1108/JEIM-04-2016-0080en
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectbusiness analyticsen
dc.subjectinformation processingen
dc.subjectinformation processing viewen
dc.subjectcontingency theoryen
dc.subjectdata-driven environmenten
dc.subjectorganisational performanceen
dc.subjectMANOVAen
dc.titleHow do top- and bottom-performing companies differ in using business analytics?en
dc.typeArticleen
dc.identifier.journalJournal of Enterprise Information Managementen
dc.date.updated2017-09-29T08:30:08Z-
dc.description.noteEmerald announced end of embargo periods this week (RVO 29/9/17)-
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