McLeay, F. orcid.org/0000-0001-6732-9589, Olya, H. orcid.org/0000-0002-0360-0744, Lichy, J. et al. (1 more author) (2025) Revolutionising autonomous vehicles: inspiring consumers in the age of Industry 4.0 technologies. Journal of Marketing Management, 41 (13-14). pp. 1341-1369. ISSN: 0267-257X
Abstract
Advances in AI and Industry 4.0 technologies are reshaping society, yet consumer resistance to innovations like autonomous vehicles (AVs) remains significant. Despite the proven benefits of fully autonomous vehicles, adoption lags. This study addresses gaps in AV adoption research by developing a sequential theoretical framework to explore the psychological relationships between AV stressors, benefits, trust, adoption difficulty, and consumer resistance. Grounded in trust, JTBD theory, and inspiration theories, the model was tested on 671 consumers in Australia and the USA, revealing that trust and inspiration play a crucial role in reducing resistance. Notably, inspired consumers exhibit lower resistance, suggesting a focus on AV benefits to foster inspiration and facilitate adoption. The study’s findings have practical implications for promoting AV adoption, highlighting the pivotal role of trust and inspiration in reducing consumer resistance. Marketers and policymakers can benefit from this research by designing strategies that inspire consumers and ease adoption barriers.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Autonomous vehicles (AVs) technologies; resistance to AV; inspiration; trust; adoption difficulty |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
| Date Deposited: | 12 Nov 2025 15:00 |
| Last Modified: | 12 Nov 2025 15:00 |
| Status: | Published |
| Publisher: | Taylor & Francis |
| Refereed: | Yes |
| Identification Number: | 10.1080/0267257x.2025.2541840 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234367 |
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