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Developing an artificial intelligence capability: A theoretical framework for business value

Mikalef, Patrick; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar
Journal article, Peer reviewed
Accepted version
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Mikalef (148.4Kb)
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http://hdl.handle.net/11250/2647256
Utgivelsesdato
2019
Metadata
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  • Institutt for datateknologi og informatikk [3957]
  • Publikasjoner fra CRIStin - NTNU [21949]
Originalversjon
Lecture Notes in Business Information Processing. 2019, 373 LNBIP 409-416.   10.1007/978-3-030-36691-9_34
Sammendrag
Despite 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.
Utgiver
Springer
Tidsskrift
Lecture Notes in Business Information Processing

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