Cristin-resultat-ID: 1762583
Sist endret: 29. januar 2020, 14:59
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

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

Bidragsytere:
  • Patrick Mikalef
  • Siw Olsen Fjørtoft og
  • Hans Yngvar Torvatn

Tidsskrift

Lecture Notes in Business Information Processing
ISSN 1865-1348
e-ISSN 1865-1356
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Volum: 373 LNBIP
Sider: 409 - 416
Open Access

Importkilder

Scopus-ID: 2-s2.0-85077499677

Beskrivelse Beskrivelse

Tittel

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

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.

Bidragsytere

Aktiv cristin-person

Patrick Mikalef

  • Tilknyttet:
    Forfatter
    ved Teknologiledelse ved SINTEF AS
  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet
Aktiv cristin-person

Siw Olsen Fjørtoft

  • Tilknyttet:
    Forfatter
    ved Teknologiledelse ved SINTEF AS

Hans Yngvar Torvatn

  • Tilknyttet:
    Forfatter
    ved Teknologiledelse ved SINTEF AS
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