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dc.contributor.authorMikalef, Patrick
dc.contributor.authorFjørtoft, Siw Olsen
dc.contributor.authorTorvatn, Hans Yngvar
dc.date.accessioned2020-07-01T09:54:30Z
dc.date.available2020-07-01T09:54:30Z
dc.date.created2019-11-19T13:07:20Z
dc.date.issued2019
dc.identifier.citationLecture Notes in Computer Science. 2019, 11701 LNCS 267-277.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2660273
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-29374-1_22en_US
dc.description.abstractThe value of Artificial Intelligence (AI) in augmenting or even replacing human decision-making in the organizational context is gaining momentum in the last few years. A growing number of organizations are now experimenting with different approaches to support and shape their operations. Nevertheless, there has been a disproportionate amount of attention on the potential and value that AI can deliver to private companies, with very limited empirical attention focusing on the private sector. The purpose of this research is to examine the current state of AI use in municipalities in Norway, what future aspirations are, as well as identify the challenges that exist in realizing them. To investigate these issues, we build on a survey study with respondents holding IT management positions in Norwegian municipalities. The results pinpoint to specific areas of AI applications that public bodies intend to invest in, as well as the most important challenges they face in making this transition.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectAIen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectBusiness valueen_US
dc.subjectPublic sectoren_US
dc.titleArtificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalitiesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber267-277en_US
dc.source.volume11701 LNCSen_US
dc.source.journalLecture Notes in Computer Scienceen_US
dc.identifier.doi10.1007/978-3-030-29374-1_22
dc.identifier.cristin1749414
cristin.unitcode7401,90,0,0
cristin.unitcode7401,90,30,0
cristin.unitnameSINTEF Digital
cristin.unitnameTeknologiledelse
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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