Jászberényi, Melinda ORCID: https://orcid.org/0000-0002-7839-5036, Miskolczi, Márk ORCID: https://orcid.org/0000-0002-4779-2952, Munkácsy, András ORCID: https://orcid.org/0000-0002-8540-0585 and Földes, Dávid ORCID: https://orcid.org/0000-0003-4352-8166 (2022) What drives tourists to adopt self-driving cars? Transportation Research Part F: Psychology and Behaviour, 89 . pp. 407-422. DOI https://doi.org/10.1016/j.trf.2022.07.013
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Official URL: https://doi.org/10.1016/j.trf.2022.07.013
Abstract
Autonomous vehicles are expected to shape mobility and tourism. This paper introduces an extension to the TAM to better understand the adoption of self-driving cars for tourism purposes. The new model (TAMAT) confirms some under-explored impacts of tourism-related variables, such as Openness to Tourism Usage and Unusual Surroundings, and the Adherence to Conventional Use on the Intention to Use self-driving cars. The research is based on online data collection (n = 646) and applies Covariance-Based Structural Equation Modelling. Findings indicate that the opportunity of using self-driving cars for tourism and unusual environments has a positive impact, while adherence to conventional car use has a negative impact on the intention to use self-driving cars.
Item Type: | Article |
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Uncontrolled Keywords: | autonomous vehicles (AVs), technology acceptance model (TAM), tourism, technology acceptance model of autonomous, vehicles for tourism purposes (TAMAT), systematic literature review (SLR), covariance-based structural equation modelling (CB-SEM) |
Subjects: | Commerce and tourism Automatizálás, gépesítés |
DOI: | https://doi.org/10.1016/j.trf.2022.07.013 |
ID Code: | 7535 |
Deposited By: | MTMT SWORD |
Deposited On: | 26 Jul 2022 08:46 |
Last Modified: | 26 Jul 2022 08:46 |
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