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

Journal article 164 views 90 downloads

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, Pages: 1 - 35

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	2025-01-09T20:30:09Z
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spelling	2024-12-13T14:46:12.9517605 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 0 1 35 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 2024-12-13T14:46:12.9517605 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 Accepted Manuscript 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
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container_start_page	1
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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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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	2024-08-13T08:32:21Z
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The new normal: The status quo of AI adoption in SMEs

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