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Taking Advantage of Business Intelligence in a Complex-Systems Environment
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems)ORCID-id: 0000-0001-5435-9535
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems)ORCID-id: 0000-0001-8362-3825
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems)ORCID-id: 0000-0002-8619-3776
2014 (engelsk)Inngår i: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren; Sven Carlsson; Ana Respício; Patrick Brézillon, IOS Press, 2014, s. 265-276Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IOS Press, 2014. s. 265-276
Serie
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389, E-ISSN 1879-8314 ; 261
Emneord [en]
Business Intelligence, Business Analytics, complex-systems, volume-operations, analytic maturity
HSV kategori
Forskningsprogram
Informationssystem (IS)
Identifikatorer
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 (tryckt)ISBN: 978-1-61499-399-5 (digital)OAI: oai:DiVA.org:his-10135DiVA, id: diva2:758539
Konferanse
IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014
Tilgjengelig fra: 2014-10-27 Laget: 2014-10-27 Sist oppdatert: 2023-06-20bibliografisk kontrollert

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