In this study, the key determinants or factors influencing consumers’ behavioural intention to accept autonomous vehicles (AVs) have been explored and tested. Although, there is a plethora of studies in the literature evaluating various technologies, most of the models of technology acceptance and theories selected are applied on barriers of successful IT implementation in organisations or generally on technologies that have long been deployed. There are very few studies conducted on disruptive technologies such as AV. In this paper, this issue has been addressed with the identification of context-related constructs partly re-trieved from existing literature, that describe a modelling process for a technol-ogy acceptance attempting to explain the main factors influencing people behav-ioural intention to adopt autonomous vehicle technology. Constructs such as trust, self-efficacy, anxiety, perceived safety and legal regulation have been con-sidered. The main contribution of the study is the detailed exploration on the us-ers’ acceptance of AV. We propose a theoretical model called Autonomous Ve-hicle Technology Acceptance Model (AVTAM) that gives us a better under-standing of what will eventually influence future AV customers. The main find-ings of this work suggest that users’ safety on the road, the cost associated to the technology and the trust on car manufacturers will play a very important role for large scale AV adoption.
|Publication status||Accepted/In press - 4 Oct 2020|
- Autonomous Vehicle adoption, TAM, UTAUT, UTAUT2, AVTAM, Safety, trust