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Initial trust formation on shared autonomous vehicles: Exploring the effects of personality-, transfer- and performance-based stimuli
Transportation Research Part A: Policy and Practice ; 173:103704, 2023.
Article in English | ScienceDirect | ID: covidwho-2327142
ABSTRACT
Building initial trust is critical for the acceptance of shared autonomous vehicles (SAVs). Initial trust determines whether this emerging mobility solution will be accepted when it is available in the market. This study examines the initial trust formation process in the context of SAVs using the elaboration likelihood model and trust transfer theory. It investigates the effects of different personality-based, transfer-based, and performance-based factors on initial trust and adoption intention. A structural equation modelling is conducted in Singapore based on valid survey design principles, sampling protocols, and data analysis procedures. Results show that among three trust-building paths, the performance-based factors which include SAV capability and interaction quality are the most important. The transfer-based (i.e., trust in shared mobility) and personality-based factor (i.e., trust propensity) rank second and third, respectively. Six moderators such as covid history and shared mobility experience are also tested to investigate significant differences in the results. Based on these findings, this study offers theoretical and policy implications for scholars and practitioners.
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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Transportation Research Part A: Policy and Practice Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ScienceDirect Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Transportation Research Part A: Policy and Practice Year: 2023 Document Type: Article