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dc.contributor.authorCollins, Christopher
dc.contributor.authorDennehy, Denis
dc.contributor.authorConboy, Kieran
dc.contributor.authorMikalef, Patrick
dc.date.accessioned2022-10-12T07:47:57Z
dc.date.available2022-10-12T07:47:57Z
dc.date.created2021-12-14T10:44:56Z
dc.date.issued2021
dc.identifier.citationInternational Journal of Information Management. 2021, 60 .en_US
dc.identifier.issn0268-4012
dc.identifier.urihttps://hdl.handle.net/11250/3025482
dc.description.abstractAI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, which has overshadowed IS research previously. This study addresses this concern, by conducting a systematic literature review of AI research in IS between 2005 and 2020. The search strategy resulted in 1877 studies, of which 98 were identified as primary studies and a synthesise of key themes that are pertinent to this study is presented. In doing so, this study makes important contributions, namely (i) an identification of the current reported business value and contributions of AI, (ii) research and practical implications on the use of AI and (iii) opportunities for future AI research in the form of a research agenda.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleArtificial intelligence in information systems research: A systematic literature review and research agendaen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber17en_US
dc.source.volume60en_US
dc.source.journalInternational Journal of Information Managementen_US
dc.identifier.doi10.1016/j.ijinfomgt.2021.102383
dc.identifier.cristin1968136
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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