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Taking Advantage of Business Intelligence in a Complex-Systems Environment
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems)ORCID iD: 0000-0001-5435-9535
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems)ORCID iD: 0000-0001-8362-3825
University of Skövde, School of Engineering Science. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems)ORCID iD: 0000-0002-8619-3776
2014 (English)In: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren; Sven Carlsson; Ana Respício; Patrick Brézillon, IOS Press, 2014, p. 265-276Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence (BI) has fundamentally changed how many companies conduct their business. In literature, focus has been on volume-operation companies that provide services to millions of customers. In contrast, complex-systems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results at a case of a complex-systems company with the overall aim to see how a complex-systems company has taken advantage of BI. In addition, a framework was used to measure the BI maturity of the company. Literature also emphasis that complex-system companies may benefit from adopting BI applications from volume-operations companies, but the results indicate that there may be a difference in the importance of BI tools, which in turn may negatively influence such cross-category adoptions.

Place, publisher, year, edition, pages
IOS Press, 2014. p. 265-276
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389, E-ISSN 1879-8314 ; 261
Keywords [en]
Business Intelligence, Business Analytics, complex-systems, volume-operations, analytic maturity
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-10135DOI: 10.3233/978-1-61499-399-5-265ISI: 000350220100024Scopus ID: 2-s2.0-84902288789ISBN: 978-1-61499-398-8 (print)ISBN: 978-1-61499-399-5 (electronic)OAI: oai:DiVA.org:his-10135DiVA, id: diva2:758539
Conference
IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014
Available from: 2014-10-27 Created: 2014-10-27 Last updated: 2023-06-20Bibliographically approved

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Gudfinnsson, KristensBerndtsson, MikaelStrand, Mattias

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