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Customer Acceptance of Autonomous Vehicles in Travel and Tourism.
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- Author(s): Ribeiro, Manuel Alector (AUTHOR); Gursoy, Dogan (AUTHOR); Chi, Oscar Hengxuan (AUTHOR)
- Source:
Journal of Travel Research. Mar2022, Vol. 61 Issue 3, p620-636. 17p. - Source:
- Additional Information
- Subject Terms:
- Abstract: Since the COVID-19 pandemic has significantly increased the use of personal vehicles in travel, adoption of self-driving autonomous vehicles can radically transform the travel industry. Thus, this study develops and tests a conceptual autonomous vehicle acceptance model that identifies hedonic motivation, trust in autonomous vehicles and social influence as critical determinants of performance expectancy, perceived risk and emotions, which determine travelers' intentions to use autonomous vehicles (AVs) utilizing the Cognitive Appraisal Theory and the Artificially Intelligent Device Use Acceptance model as conceptual frameworks. Findings indicate that trust is the most powerful determinant of performance expectancy and essential to decrease risk perceptions. Furthermore, performance expectancy and hedonic motivation are critical determinants of travelers' positive emotions, which in turn determines the acceptance of AVs. Contribution to theoretical knowledge and implications for practice are provided, and limitations and recommendations for future studies are discussed. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Travel Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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