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Develo** an Artificial Intelligence Capability: A Theoretical Framework for Business Value

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Business Information Systems Workshops (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 373))

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Abstract

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.

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Author information

Authors and Affiliations

  1. SINTEF Digital, S.P. Andersens Veg 5, 7031, Trondheim, Norway

    Patrick Mikalef, Siw Olsen Fjørtoft & Hans Yngvar Torvatn

  2. Norwegian University of Science and Technology (NTNU), Sem Sælands Vei 7-9, 7034, Trondheim, Norway

    Patrick Mikalef

Authors
  1. Patrick Mikalef
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  2. Siw Olsen Fjørtoft
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  3. Hans Yngvar Torvatn
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Correspondence to Patrick Mikalef .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. University of Seville, Seville, Spain

    Rafael Corchuelo

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Mikalef, P., Fjørtoft, S.O., Torvatn, H.Y. (2019). Develo** an Artificial Intelligence Capability: A Theoretical Framework for Business Value. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-36691-9_34

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  • DOI: https://doi.org/10.1007/978-3-030-36691-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36690-2

  • Online ISBN: 978-3-030-36691-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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