The new normal: The status quo of AI adoption in SMEs
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.
Authors
- Dominik K. Kanbach (ORCID: https://orcid.org/0000-0003-0956-8009)
- Sascha Kraus (ORCID: https://orcid.org/0000-0003-4886-7482)
- Anna Peters (ORCID: https://orcid.org/0000-0002-3743-2048)
- Paul Jones (ORCID: https://orcid.org/0000-0003-0417-9143)
- Julia Schwaeke (ORCID: https://orcid.org/0009-0000-0936-3674)
Institutions
- Free University of Bozen-Bolzano (IT)
- University of Johannesburg (ZA)
- HHL Leipzig Graduate School of Management (DE)
- Woxsen School of Business (IN)
- Swansea University (GB)
Publication Details
- Journal
- Journal of Small Business Management
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1080/00472778.2024.2379999
- Citations
- 123
- Primary Topic
- Innovation and Knowledge Management
- Type
- article
- Field-Weighted Citation Impact
- 68.22