What factors contribute to the acceptance of artificial intelligence? A systematic review
Queensland University of Technology · Delft University of Technology
Abstract
Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next decade, creating a personal, industrial, and social shift towards the new technology. As a result, there has been a surge of interest and research towards user acceptance of AI technology in recent years. However, the existing research appears dispersed and lacks systematic synthesis, limiting our understanding of user acceptance of AI technologies. To address this gap in the literature, we conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and meta-Analysis guidelines using five databases: EBSCO host, Embase, Inspec (Engineering Village host), Scopus, and Web of Science.…
Citation impact
- FWCI
- 159.16
- Percentile
- 100%
- References
- 133
Authors
3Topics & keywords
- Expectancy theory
- Scopus
- Systematic review
- Technology acceptance model
- Computer science
- Psychology
- Usability
- Knowledge management