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The new normal: The status quo of AI adoption in SMEs
Journal of Small Business Management, Pages: 1 - 35
Swansea University Author: Paul Jones
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© 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License.
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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...
Published in: | Journal of Small Business Management |
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ISSN: | 0047-2778 1540-627X |
Published: |
Informa UK Limited
2024
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Online Access: |
Check full text
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67182 |
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 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. |
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Keywords: |
AI; artificial intelligence; small business; SME; technology |
College: |
Faculty of Humanities and Social Sciences |
Funders: |
Swansea University |
Start Page: |
1 |
End Page: |
35 |