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dc.contributor.authorEnholm, Ida Merete
dc.contributor.authorPapagiannidis, Emmanouil
dc.contributor.authorMikalef, Patrick
dc.contributor.authorKrogstie, John
dc.date.accessioned2022-10-05T12:02:52Z
dc.date.available2022-10-05T12:02:52Z
dc.date.created2021-11-24T13:44:58Z
dc.date.issued2021
dc.identifier.citationInformation Systems Frontiers. 2021, .en_US
dc.identifier.issn1387-3326
dc.identifier.urihttps://hdl.handle.net/11250/3024062
dc.description.abstractArtificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Nevertheless, organizations are still struggling to adopt and leverage AI in their operations. The lack of a coherent understanding of how AI technologies create business value, and what type of business value is expected, therefore necessitates a holistic understanding. This study provides a systematic literature review that attempts to explain how organizations can leverage AI technologies in their operations and elucidate the value-generating mechanisms. Our analysis synthesizes the current literature and highlights: (1) the key enablers and inhibitors of AI adoption and use; (2) the typologies of AI use in the organizational setting; and (3) the first- and second-order effects of AI. The paper concludes with an identification of the gaps in the literature and develops a research agenda that identifies areas that need to be addressed by future studies.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleArtificial Intelligence and Business Value: a Literature Reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.journalInformation Systems Frontiersen_US
dc.identifier.doi10.1007/s10796-021-10186-w
dc.identifier.cristin1958425
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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