.png){kind=icon}
.png){kind=icon}
Return
Driving the shift to electric motorcycles: the role of AI trust and AI benefits
.png){kind=icon}
PRE
AI
D
N
N
N
T
D
DOI：10.1016/j.trf.2025.103484.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Motorcycles dominate urban transport in Southeast Asia but significantly contribute to air pollution and health risks. Government efforts to promote electric motorcycles (EMs) have been extensive, yet consumer switch rates continue to lag behind expectations. Currently, AI plays a transformative role in the development, functionality, and optimisation of EMs; however, the influence of beliefs in AI benefits and trust in AI on EM switching intention has not been examined. This study addresses this gap by extending the Value-Belief-Norm theory with these two constructs, incorporating age and gender as moderators. Additionally, perceived value is treated as a second-order construct, consisting of five dimensions that collectively capture its multifaceted nature. Data from Vietnamese respondents were analysed using PLS-SEM. The results show that perceived value directly influences beliefs in EM benefits, AI benefits for EMs, and trust in AI technologies. Trust in AI and personal norms significantly shape the switching intention. This research provides actionable recommendations for policymakers to accelerate EM switching intention and contributes to advancing theoretical discussions on sustainable transport and AI integration in mobility solutions.
Keywords:
Electric motorcycles
Perceived value
Value-belief-norm
AI
PLS-SEM
Journal
IF:
4.4
Papers:
3.3K
Citations:
1.3W
Organization
Cited Papers