Abstract:
This research endeavors to implement and evaluate an expanded version of the TAM by incorporating perceived risk and
utilizing the consolidative framework of beliefs-attitude-intention. This approach aims to gain insights into and forecast consumers'
inclination towards adopting EVs. This study delves into the various factors that impact the uptake of electric vehicles, employing a
purposive sampling strategy to target individuals aged 17 and above with a valid driving license and owning EVs. After a rigorous
screening process, 247 out of 400 responses were analyzed. The survey comprised two sections: the first gathering demographic and
vehicle ownership details, and the second assessing six cognitive dimensions related to EV adoption, including PEOU, PEU, PER, ATU,
and AIU to adopt EV technology. Utilizing SPSS and AMOS software for data examination, the study applied SEM analysis to
investigate the relationships between these dimensions with Maximum Likelihood Estimation. The research identifies the significant
impact of perceived risks on adoption intentions, emphasizing the need for strategies to mitigate these apprehensions, especially in
emerging markets like Indonesia. The findings underscore the importance of holistic approaches in promoting EV adoption, which
involve highlighting the benefits and addressing potential barriers and concerns that consumers may have. By effectively managing
perceptions of usefulness, ease of use, and risks, stakeholders can work towards fostering a more positive attitude towards EV
technology and ultimately encouraging greater adoption of sustainable transportation options.
