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

2.50
Hdl Handle:
http://hdl.handle.net/10547/622085
Title:
How do top- and bottom-performing companies differ in using business analytics?
Authors:
Cao, Guangming; Duan, Yanqing
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. This paper therefore examines 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 MANOVA 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.
Affiliation:
University of Bedfordshire
Citation:
Cao G, Duan Y (2017) 'How do top- and bottom-performing companies differ in using business analytics?', Journal of Enterprise Information Management.
Publisher:
Emerald
Journal:
Journal of Enterprise Information Management
Issue Date:
11-Apr-2017
URI:
http://hdl.handle.net/10547/622085
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.accessioned2017-04-20T10:45:52Z-
dc.date.available2017-04-20T10:45:52Z-
dc.date.issued2017-04-11-
dc.identifier.citationCao G, Duan Y (2017) 'How do top- and bottom-performing companies differ in using business analytics?', Journal of Enterprise Information Management.en
dc.identifier.issn1741-0398-
dc.identifier.urihttp://hdl.handle.net/10547/622085-
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. This paper therefore examines 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 MANOVA 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.publisherEmeralden
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 processing viewen
dc.subjectcontingency theoryen
dc.subjectdata-driven environment (DDE)en
dc.subjectMANOVAen
dc.subjectorganisational performanceen
dc.subjectN100 Business studiesen
dc.titleHow do top- and bottom-performing companies differ in using business analytics?en
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalJournal of Enterprise Information Managementen
dc.date.updated2017-04-20T10:24:17Z-
dc.description.noteNo publication date. 24 month embargo.-
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