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The role of digital skills in the acceptance of artificial intelligence

Vanja Vitezić (Department of Management, Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia)
Marko Perić (Department of Management, Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia)

Journal of Business & Industrial Marketing

ISSN: 0885-8624

Article publication date: 12 February 2024

295

Abstract

Purpose

The service industry is facing the huge impact of digital transformation, in which artificial intelligence (AI) plays one of the most important roles. This study aims to expand the understanding of the AI acceptance framework and confirm whether consumers’ digital skills have a moderating effect on the research model.

Design/methodology/approach

Hypotheses were tested using a data set of 1,641 individuals. Partial least squares structural equation modeling and multi-group analysis were used to estimate the model.

Findings

The results indicate that antecedent factors influence consumers’ willingness to use AI devices in services. The two groups of different digitally savvy respondents differ because the influence of anthropomorphism, social influence and hedonic motivation on respondents’ perceived efforts to use AI devices in service delivery depends on respondents’ digital skills.

Originality/value

The novel contribution of this study is reflected in a comprehensive model that explains the moderating effect of individual digital skills on willingness to use AI devices. The attitudes of experienced and digitally skilled consumers are valuable and highlight some important theoretical, practical implications and future lines of research.

Keywords

Acknowledgements

The authors are thankful for the feedback received from the participants of the AIRSI2021 conference.

Citation

Vitezić, V. and Perić, M. (2024), "The role of digital skills in the acceptance of artificial intelligence", Journal of Business & Industrial Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JBIM-04-2023-0210

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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