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Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem (IS), Information Systems)ORCID iD: 0000-0001-5435-9535
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem (IS), Information Systems)ORCID iD: 0000-0002-7858-9471
Department of Economics and Informatics, University West, Trollhättan, Sweden.ORCID iD: 0000-0003-1134-1938
2019 (English)In: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, no 1Article in journal (Refereed) Published
Abstract [en]

Establishing business intelligence analytics (BIA) in small- and medium-sized manufacturing enterprises is a pervasive problem. SME’s - the majority of businesses - play an important role in creating jobs, but research is primarily focused on large corporations. The authors worked with small manufacturing companies at the aspirational capability level but found that their motivation to introduce BIA was low. They had many business challenges but perceived the obstacles (primarily cost and effort) as too great, and their priorities were with operational issues. A two-phase approach based on a well-known analytics maturity model was devised to help raise company motivation. The article describes three studies in different companies using variations of the approach. Comparative analysis of the cases shows that demonstrating a clear path to improved functional efficiency is key to improving motivation, and that simple, easy to learn tools can provide these insights at little cost.

Place, publisher, year, edition, pages
IGI Global, 2019. Vol. 10, no 1
Keywords [en]
Business Intelligence, Information systems, Manufacturing, Maturity model, SME
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-16702DOI: 10.4018/IJBIR.2019010101Scopus ID: 2-s2.0-85071252646OAI: oai:DiVA.org:his-16702DiVA, id: diva2:1296420
Projects
BISONMM2
Funder
Knowledge Foundation
Note

EISBN13: 9781522566922

Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-09-04Bibliographically approved

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Gudfinnsson, KristensRose, JeremyAggestam, Lena

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