Accelerating Sustainability Environment: Understanding Electric Vehicles (EVs) Adoption with Expanded Technology Acceptance Model (TAM)

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.