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The moderating effect of trust on the adoption of electric motorcycles among road users

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Motorcycles with internal combustion engines fueled by fossil fuels dominate the traffic flow in major Asian cities, contributing significantly to air and noise pollution compared to other transport modes like walking, cycling, and public transport. To address this issue, many Asian countries are promoting the adoption of electric motorcycles to reduce air pollution and reliance on non-renewable energy sources. However, the adoption of electric motorcycles faces various challenges. This study investigates factors influencing the adoption of electric motorcycles in Vietnam. Structural equation model (PLS-SEM) software was used to analyze data gathered from 751 valid responses. The findings reveal that perceived usefulness has the most significant positive impact on the adoption of electric motorcycles, while perceived risk acts as a barrier to the adoption intention. Additionally, age moderates the relationship between perceived ease of use and adoption intention, and income level influences the correlation between perceived risk and the adoption of electric motorcycles. The study also discusses the policy implications, focusing on how motorbike manufacturers can further promote the adoption of electric motorbikes (EMs)
Title: The moderating effect of trust on the adoption of electric motorcycles among road users
Description:
Motorcycles with internal combustion engines fueled by fossil fuels dominate the traffic flow in major Asian cities, contributing significantly to air and noise pollution compared to other transport modes like walking, cycling, and public transport.
To address this issue, many Asian countries are promoting the adoption of electric motorcycles to reduce air pollution and reliance on non-renewable energy sources.
However, the adoption of electric motorcycles faces various challenges.
This study investigates factors influencing the adoption of electric motorcycles in Vietnam.
Structural equation model (PLS-SEM) software was used to analyze data gathered from 751 valid responses.
The findings reveal that perceived usefulness has the most significant positive impact on the adoption of electric motorcycles, while perceived risk acts as a barrier to the adoption intention.
Additionally, age moderates the relationship between perceived ease of use and adoption intention, and income level influences the correlation between perceived risk and the adoption of electric motorcycles.
The study also discusses the policy implications, focusing on how motorbike manufacturers can further promote the adoption of electric motorbikes (EMs).

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