What the study found
The study found that research on AI affordances and adoption in entrepreneurial practice has expanded quickly, especially over the past five years. It also found that this literature is concentrated in Europe and Asia, while Africa and the Middle East are less represented.
Why the authors say this matters
The authors conclude that their bibliometric mapping provides researchers and practitioners with a synthesized view of influential authors, journals, institutions, and themes. The study suggests this can help guide future research trajectories and support interdisciplinary engagement.
What the researchers tested
The researchers carried out a bibliometric analysis of 114 Scopus-indexed publications from 2000 to 2024. They used Microsoft Excel for performance metrics and VOSviewer for science mapping to examine publication trends, citation impact, co-authorship networks, institutional contributions, and methodological preferences.
What worked and what didn't
The analysis showed a sharp rise in publication volume, with especially strong growth in recent years and notable acceleration in 2024. It also found robust international collaboration, dominance of quantitative methods, and continued reliance on adoption frameworks such as TAM and UTAUT, while qualitative and mixed-methods studies are becoming more common. Recent studies also bring in broader institutional and entrepreneurial perspectives.
What to keep in mind
The study is limited to Scopus-indexed literature, so it does not cover all possible publications on the topic. The abstract also notes gaps in geographic coverage, methodological variety, and theoretical expansion, but it does not provide detailed limitations beyond this scope.
Key points
- The study analyzed 114 Scopus-indexed publications from 2000 to 2024.
- Publication output on AI affordances and adoption in entrepreneurial practice rose sharply over the last five years.
- Research activity is concentrated in Europe and Asia, with Africa and the Middle East underrepresented.
- Quantitative methods dominate, but qualitative and mixed-methods approaches are increasing.
- Theoretical work largely relies on TAM and UTAUT, with some newer studies using broader institutional and entrepreneurial lenses.
Disclosure
- Research title:
- AI adoption research in entrepreneurship has grown rapidly since 2020
- Authors:
- Joshua Nii Akai Nettey, Monica Baffowaa, Acheampong Owusu
- Institutions:
- University of Ghana, University of Ghana, University of Ghana
- Publication date:
- 2026-03-07
- OpenAlex record:
- View
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