What factors determine the intention to use and recommend public autonomous shuttles in a real-life setting?

Myriam Quinones, Jaime Romero, Anne Schmitz and Ana M. Díaz-Martín

European Journal of Management and Business Economics, 2024, vol. 35, issue 2, 169-188

Abstract: PurposeUser acceptance is a necessary precondition to implementing self-driving buses as a solution to public transport challenges. Focusing on potential users in a real-life setting, this paper aims to analyze the factors that affect their willingness to use public autonomous shuttles (PASs) as well as their word-of-mouth (WOM) intentions.Design/methodology/approachGrounded on Unified Theory of Acceptance and Use of Technology (UTAUT2), the study was carried out on a sample of 318 potential users in a real-life setting. The hypothesized relationships were tested using partial least squares structural equation modeling (PLS-SEM).FindingsThe study reveals that performance expectancy, facilitating conditions, hedonic motivation and trust are significant predictors of PAS usage intention, which is, in turn, related to WOM communication. Additionally, the factors that impact the intention to use a PAS are found to exert an indirect effect on WOM, mediated by usage intention.Practical implicationsThis study includes practical insights for transport decision-makers on PAS service design, marketing campaigns and WOM monitoring.Originality/valueWhile extant research focuses on passengers who have tried autonomous shuttles in experimental settings, this article adopts the perspective of potential users who have no previous experience with these vehicles and identifies the link between usage intention and WOM communication in a real-life traffic environment.

Keywords: Autonomous vehicle; Autonomous shuttle; Driverless shuttle; Self-driving bus; Technology adoption; Technology acceptance; Usage intention; Word-of-mouth; Sustainable mobility; Smart mobility; Robots; UTAUT2 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ejmbep:ejmbe-07-2023-0224

DOI: 10.1108/EJMBE-07-2023-0224

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