The technology acceptance model and adopter type analysis in the context of artificial intelligence
The findings highlight the importance of perceived usefulness and AI mindset in shaping attitudes toward AI adoption. The clustering results provide a nuanced understanding of AI adopter types, aligning with established innovation diffusion theories. Implications for AI deployment strategies, policy-making, and future research directions are discussed.
Authors
- Johann‐Christoph Münscher (ORCID: https://orcid.org/0000-0002-8434-7970)
- Monika Daseking (ORCID: https://orcid.org/0000-0002-7332-663X)
- Fabio Ibrahim (ORCID: https://orcid.org/0000-0003-0320-4204)
- Nils-Torge Telle (ORCID: https://orcid.org/0000-0002-2032-5406)
Institutions
- Helmut Schmidt University (DE)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-01-16
- DOI
- https://doi.org/10.3389/frai.2024.1496518
- Citations
- 55
- Primary Topic
- Technology Adoption and User Behaviour
- Type
- article
- Field-Weighted Citation Impact
- 229.29