A Study on the Factors Influencing the Adoption Intentions of Electric Vehicles

Traditional vehicles emit harmful emissions, increasing the risk of respiratory and cardiovascular diseases. Electric vehicles (EVs) are considered a better alternative to conventional vehicles for reducing greenhouse gas emissions. Various governments are also promoting EVs, as they reduce the dependency on fossil fuels and carbon emissions. This study attempts to utilize Meta-Unified Theory of Acceptance and Use Technology with three additional factors: environmental concern, government support, and price, for predicting the adoption intentions of EVs. Data were gathered from 462 respondents, and the PLS-SEM technique was employed to test the hypotheses and research model. The results revealed that attitude is the strongest predictor of EV adoption intention, followed by social influence, price, and environmental concern. Attitude serves as a mediating variable linking environmental concern, facilitating conditions, government support, social influence, and price to adoption intention. In our study, performance expectancy and effort expectancy did not have a significant direct or indirect relationship with adoption intention, nor did they influence it through attitude. From a practical perspective, implications will be beneficial for government and automotive companies, potentially helping to expedite EV adoption.