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dc.contributor.authorElsa, Cardoso
dc.contributor.authorSu, Xiaomeng
dc.date.accessioned2023-01-19T09:42:00Z
dc.date.available2023-01-19T09:42:00Z
dc.date.created2022-05-05T10:41:18Z
dc.date.issued2022
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/11250/3044516
dc.description.abstractBusiness Intelligence and Analytics (BIA) systems play an essential role in organizations, providing actionable insights that enable business users to make more informed, data-driven decisions. However, many Higher Education (HE) institutions do not have accessible and usable models to guide them through the incremental development of BIA solutions to realize the full potential value of BIA. The situation is becoming ever more acute as HE operates today in a complex and dynamic environment brought forward by globalization and the rapid development of information technologies. This paper proposes a domain-specific BIA maturity model (MM) for HE–the HE-BIA Maturity Model. Following a design science approach, this paper details the design, development, and evaluation of two artifacts: the MM and the maturity assessment method. The evaluation phase comprised three case studies with universities from different countries and two workshops with practitioners from more than ten countries. HE institutions reported that the assessment with the HE-BIA model was (i) useful and adequate for their needs; (ii) and contributed to a better understanding of the current status of their BIA landscape, making it explicit that a BIA program is a technology endeavor as well as an organizational development.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDesigning a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approachen_US
dc.title.alternativeDesigning a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume12en_US
dc.source.journalApplied Sciencesen_US
dc.source.issue9en_US
dc.identifier.doi10.3390/app12094625
dc.identifier.cristin2021681
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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