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dc.contributor.authorMikalef, Patrick
dc.contributor.authorFjørtoft, Siw Olsen
dc.contributor.authorTorvatn, Hans Yngvar
dc.date.accessioned2021-05-11T11:27:31Z
dc.date.available2021-05-11T11:27:31Z
dc.date.created2019-12-18T14:22:19Z
dc.date.issued2019
dc.identifier.issn1865-1348
dc.identifier.urihttps://hdl.handle.net/11250/2754889
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Business Information Processing. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-36691-9_34en_US
dc.description.abstractDespite the claim that Artificial Intelligence (AI) can revolutionize the way private and public organizations do business, to date organizations still face a number of obstacles in leveraging such technologies and realizing performance gains. Past studies in other novel information technologies argue that organizations must develop a capability of effectively orchestrating and deploying necessary complementary resources. We contend that if organizations aim to realize any substantial performance gains from their AI investments, they must develop and promote an AI Capability. This paper theoretically develops the concept of an AI capability and presents the main dimensions that comprise it. To do so, we ground this concept in the resource-based view of the firm and by surveying the latest literature on AI, we identify the constituent components that jointly comprise it.en_US
dc.language.isoengen_US
dc.publisherSpringer, Chamen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectOrganizational capabilityen_US
dc.subjectResource-Based Viewen_US
dc.subjectTheoretical frameworken_US
dc.titleDeveloping an Artificial Intelligence Capability: A Theoretical Framework for Business Valueen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Springer Nature Switzerland AG 2019en_US
dc.source.pagenumber409-416en_US
dc.source.volume373 LNBIPen_US
dc.source.journalLecture Notes in Business Information Processingen_US
dc.identifier.cristin1762583
cristin.unitcode7401,90,30,0
cristin.unitnameTeknologiledelse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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