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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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DOI (Published version): 10.1016/j.ijinfomgt.2021.102383

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
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URI: https://cronfa.swan.ac.uk/Record/cronfa59525
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first_indexed 2022-03-11T11:53:43Z
last_indexed 2022-04-01T03:20:01Z
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spelling 2022-03-31T20:30:10.4272346 v2 59525 2022-03-08 Artificial intelligence in information systems research: A systematic literature review and research agenda ba782cbe94139075e5418dc9274e8304 0000-0001-9931-762X Denis Dennehy Denis Dennehy true false 2022-03-08 BBU 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. Journal Article International Journal of Information Management 60 102383 Elsevier BV 0268-4012 Artificial intelligence; AI; Machine learning; Systematic literature review; Research agenda 1 10 2021 2021-10-01 10.1016/j.ijinfomgt.2021.102383 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 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. 2022-03-31T20:30:10.4272346 2022-03-08T14:32:20.2300018 Faculty of Humanities and Social Sciences School of Management - Business Management Christopher Collins 0000-0003-3168-900x 1 Denis Dennehy 0000-0001-9931-762X 2 Kieran Conboy 3 Patrick Mikalef 4 59525__23755__20c9eaf2997041f89ba721b8a8c1005d.pdf 59525.pdf 2022-03-31T20:29:01.6671594 Output 1531549 application/pdf Version of Record true © 2021 The Author(s). This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/
title Artificial intelligence in information systems research: A systematic literature review and research agenda
spellingShingle Artificial intelligence in information systems research: A systematic literature review and research agenda
Denis Dennehy
title_short Artificial intelligence in information systems research: A systematic literature review and research agenda
title_full Artificial intelligence in information systems research: A systematic literature review and research agenda
title_fullStr Artificial intelligence in information systems research: A systematic literature review and research agenda
title_full_unstemmed Artificial intelligence in information systems research: A systematic literature review and research agenda
title_sort Artificial intelligence in information systems research: A systematic literature review and research agenda
author_id_str_mv ba782cbe94139075e5418dc9274e8304
author_id_fullname_str_mv ba782cbe94139075e5418dc9274e8304_***_Denis Dennehy
author Denis Dennehy
author2 Christopher Collins
Denis Dennehy
Kieran Conboy
Patrick Mikalef
format Journal article
container_title International Journal of Information Management
container_volume 60
container_start_page 102383
publishDate 2021
institution Swansea University
issn 0268-4012
doi_str_mv 10.1016/j.ijinfomgt.2021.102383
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description 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.
published_date 2021-10-01T04:16:54Z
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score 11.037166

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