Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data

Hong Tien Vu and Jeongsub Lim

Behaviour and Information Technology, 2022, vol. 41, issue 7, 1515-1528

Abstract: Using data from 28 European countries, this study examines factors influencing public attitude towards the use of AI/Robot. Its multilevel SEM analysis finds that several factors at the individual level including Perceived threat of job loss and Digital technology efficacy predict public Acceptance of AI/Robot. Although country-level factors such as economic development, government effectiveness and innovation do not directly influence public acceptance of AI/Robot, they do have significant effects on Perceived threat of general job loss due to AI/Robot, and Digital technology efficacy. Findings indicate that these nationally macro variables influence people’s perceptions of AI and robotics technologies and their confidence in their digital skills. This research enriches the application of the Technology Acceptance Model by using predictive variables at two levels: individual and country. Furthermore, at the individual level, this study uses two variables (e.g. Perceived threat of job loss and Digital technology efficacy) that are unconventional to TAM, thus contributing to this theoretical model.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1884288 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:7:p:1515-1528

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2021.1884288

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().