The new normal: The status quo of AI adoption in SMEs

Schwaeke, Julia; Peters, Anna; Kanbach, Dominik K.; Kraus, Sascha; Jones, Paul

doi:10.1080/00472778.2024.2379999

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The new normal: The status quo of AI adoption in SMEs

Julia Schwaeke, Anna Peters, Dominik K. Kanbach, Sascha Kraus, Paul Jones

Journal of Small Business Management, Volume: 63, Issue: 3, Pages: 1297 - 1331

Swansea University Author: Paul Jones

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DOI (Published version): 10.1080/00472778.2024.2379999

Abstract

The recent surge in the adoption of artificial intelligence (AI) by small and medium-sized enterprises (SMEs) has garnered significant research attention. However, the existing literature reveals a fragmented landscape that hinders our understanding of how SMEs use AI. We address this through a syst...

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Published in:	Journal of Small Business Management
ISSN:	0047-2778 1540-627X
Published:	Informa UK Limited 2024
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa67182

first_indexed	2024-07-25T10:47:35Z
last_indexed	2025-06-14T04:47:04Z
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spelling	2025-06-13T15:37:04.2350939 v2 67182 2024-07-25 The new normal: The status quo of AI adoption in SMEs 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2024-07-25 CBAE The recent surge in the adoption of artificial intelligence (AI) by small and medium-sized enterprises (SMEs) has garnered significant research attention. However, the existing literature reveals a fragmented landscape that hinders our understanding of how SMEs use AI. We address this through a systematic literature review wherein we analyze 106 peer-reviewed articles on AI adoption in SMEs and categorize states and trends into eight clusters: (1) compatibility, (2) infrastructure, (3) knowledge, (4) resources, (5) culture, (6) competition, (7) regulation, and (8) ecosystem: according to the technology–organization–environment model. Our research provides valuable insights and identifies significant gaps in existing literature, notably overlooking trends identification as a pivotal driver and neglecting legal requirements. Our study clarifies AI implementation within SMEs, offering a holistic and theoretically grounded perspective to empower researchers and practitioners to facilitate more effective adoption and application of AI within the SME sector. Journal Article Journal of Small Business Management 63 3 1297 1331 Informa UK Limited 0047-2778 1540-627X AI; artificial intelligence; small business; SME; technology 13 8 2024 2024-08-13 10.1080/00472778.2024.2379999 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-06-13T15:37:04.2350939 2024-07-25T11:44:45.7651283 Faculty of Humanities and Social Sciences School of Management - Business Management Julia Schwaeke 1 Anna Peters 2 Dominik K. Kanbach 3 Sascha Kraus 4 Paul Jones 0000-0003-0417-9143 5 67182__31176__099d70e49a27413099a8030f5d7f41b8.pdf 67182.VoR.pdf 2024-08-29T16:08:14.8171742 Output 1968790 application/pdf Version of Record true © 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/ licenses/by/4.0/
title	The new normal: The status quo of AI adoption in SMEs
spellingShingle	The new normal: The status quo of AI adoption in SMEs Paul Jones
title_short	The new normal: The status quo of AI adoption in SMEs
title_full	The new normal: The status quo of AI adoption in SMEs
title_fullStr	The new normal: The status quo of AI adoption in SMEs
title_full_unstemmed	The new normal: The status quo of AI adoption in SMEs
title_sort	The new normal: The status quo of AI adoption in SMEs
author_id_str_mv	21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv	21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author	Paul Jones
author2	Julia Schwaeke Anna Peters Dominik K. Kanbach Sascha Kraus Paul Jones
format	Journal article
container_title	Journal of Small Business Management
container_volume	63
container_issue	3
container_start_page	1297
publishDate	2024
institution	Swansea University
issn	0047-2778 1540-627X
doi_str_mv	10.1080/00472778.2024.2379999
publisher	Informa UK Limited
college_str	Faculty of Humanities and Social Sciences
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hierarchy_top_title	Faculty of Humanities and Social Sciences
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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
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description	The recent surge in the adoption of artificial intelligence (AI) by small and medium-sized enterprises (SMEs) has garnered significant research attention. However, the existing literature reveals a fragmented landscape that hinders our understanding of how SMEs use AI. We address this through a systematic literature review wherein we analyze 106 peer-reviewed articles on AI adoption in SMEs and categorize states and trends into eight clusters: (1) compatibility, (2) infrastructure, (3) knowledge, (4) resources, (5) culture, (6) competition, (7) regulation, and (8) ecosystem: according to the technology–organization–environment model. Our research provides valuable insights and identifies significant gaps in existing literature, notably overlooking trends identification as a pivotal driver and neglecting legal requirements. Our study clarifies AI implementation within SMEs, offering a holistic and theoretically grounded perspective to empower researchers and practitioners to facilitate more effective adoption and application of AI within the SME sector.
published_date	2024-08-13T05:14:37Z
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The new normal: The status quo of AI adoption in SMEs

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