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

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

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number122878
Peer-reviewed scientific journalTechnological Forecasting and Social Change
Volume197
ISSN0040-1625
DOIs
Publication statusPublished - 05.10.2023
MoE publication typeA2 Review article in a scientific journal

Keywords

  • 512 Business and Management
  • Artificial intelligence
  • Innovation
  • Machine learning
  • Review
  • Scaling
  • Technology

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