Artificial intelligence in information systems research: A systematic literature review and research agenda

  • Christopher Collins
  • , Denis Dennehy
  • , Kieran Conboy
  • , Patrick Mikalef

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

631 Citations (Scopus)

Abstract

AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, which has overshadowed IS research previously. This study addresses this concern, by conducting a systematic literature review of AI research in IS between 2005 and 2020. The search strategy resulted in 1877 studies, of which 98 were identified as primary studies and a synthesise of key themes that are pertinent to this study is presented. In doing so, this study makes important contributions, namely (i) an identification of the current reported business value and contributions of AI, (ii) research and practical implications on the use of AI and (iii) opportunities for future AI research in the form of a research agenda.

Original languageEnglish
Article number102383
JournalInternational Journal of Information Management
Volume60
DOIs
Publication statusPublished - Oct 2021

Keywords

  • AI
  • Artificial intelligence
  • Machine learning
  • Research agenda
  • Systematic literature review

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