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

Christopher Collins Orcid Logo, Denis Dennehy Orcid Logo, Kieran Conboy, Patrick Mikalef

International Journal of Information Management, Volume: 60, Start page: 102383

Swansea University Author: Denis Dennehy Orcid Logo

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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 con...

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Published in: International Journal of Information Management
ISSN: 0268-4012
Published: Elsevier BV 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa59525
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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.
Keywords: Artificial intelligence; AI; Machine learning; Systematic literature review; Research agenda
College: School of Management
Funders: This research was funded through a scholarship awarded by the Business Information Systems discipline, J.E. Cairnes School of Business & Economics, NUI Galway, Galway, Ireland.
Start Page: 102383