Implementing and scaling artificial intelligence: A review, framework, and research agenda

Naomi Haefner, Vinit Parida*, Oliver Gassmann, Joakim Wincent

*Motsvarande författare för detta arbete

Forskningsoutput: TidskriftsbidragÖversiktsartikelPeer review

Sammanfattning

Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to address this gap by providing a systematic review and analysis of different approaches by companies to using AI in their organizations. Based on these experiences, we identify key components of implementing and scaling AI in organizations and propose phases of implementing and scaling AI in firms.

OriginalspråkEngelska
Artikelnummer122878
Referentgranskad vetenskaplig tidskriftTechnological Forecasting and Social Change
Volym197
ISSN0040-1625
DOI
StatusPublicerad - 05.10.2023
MoE-publikationstypA2 Översiktsartikel i en vetenskaplig tidskrift

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  • 512 Företagsekonomi

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