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

• Myriam Quinones ^[1] ; Jaime Romero ^[1] ; Anne Schmitz ^[1] ; Ana M. Dıaz-Martın ^[1]
  1. [1] Universidad Autónoma de Madrid

     Universidad Autónoma de Madrid

     Madrid, España

     
• Localización: European journal of management and business economics, ISSN-e 2444-8494, ISSN 2444-8451, Vol. 35, Nº. 2, 2026, págs. 169-188
• Idioma: inglés
• DOI: 10.1108/EJMBE-07-2023-0224
• Enlaces
  • Texto completo
• Resumen

  • Purpose – User 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/approach – Grounded 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).

    Findings – The 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 implications – This study includes practical insights for transport decision-makers on PAS service design, marketing campaigns and WOM monitoring.

    Originality/value – While 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.

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