Determinants of Customer Intentions to Use Electric Vehicle in Indonesia: An Integrated Model Analysis

Abstract

Electric vehicles can be a solution to certain social problems in Indonesia, such as pollution and an increase in consumption of energy from fossil fuels, which cannot be met by domestic production. The discussion of the TPB theoretical model, UTAUT2, and risk perception, using the structural equation modeling (SEM) method, in this study aims to provide an overview of the factors that drive interest in adopting electric vehicles in Indonesia. Data were collected from 526 respondents in various cities located in Indonesia. The results showed that the model can estimate the study variables adequately. The constructs of TPB such as attitude toward use (ATU), subjective norm (SBN), and perceived behavior control (PBC) positively affect interest in using electric vehicles. Meanwhile, ATU is influenced by performance and effort expectancies, hedonic motivation, price value, as well as functional, financial, and social risks. Another factor, known as PBC, is influenced by certain facilitating conditions. The ATU factor is the most influential on the use of electric vehicles, therefore factors such as performance expectancy, effort expectancy, hedonic motivation, price value, functional risk, financial risk, and social risk need to be properly analyzed.

The Role of Technical Safety Riskiness and Behavioral Interventions in the Public Acceptance of Autonomous Vehicles in China

“…The effect of PU and PEOU on BI was consistent with the findings of previous studies (Panagiotopoulos and Dimitrakopoulos 2018;Liu et al 2019;Zhang et al 2021). The influence relationships of PBC, BA, and SN with BI were also consistent with previous studies (Buckley et al 2018;Acheampong and Cugurullo 2019;Gunawan et al 2022). Moreover, it was concluded that HMRP indirectly influences the acceptance of AVs through PBC and BA, and HMRP on acceptance of AVs has a significant negative influence relationship.…”

“…TPB has been found to be able to explain, predict, and intervene in the occurrence of a phenomenon through the relationship between behavioral intention and actual behavior (Shalender and Sharma 2021). In addition, the validity of applying TPB to explain the process of external factors influencing the acceptance of AVs is supported by many previous studies (Rahman et al 2017;Buckley et al 2018;Acheampong and Cugurullo 2019;Gunawan et al 2022).…”

Research on the Intention to Purchase of Fabric Saints : Based on the Theory of Consumption Value, Green Purchase Intention, and Green Purchase Behaviour

“…When viewed on the market, the price of environmentally friendly goods is often more premium when compared to products that are not/less environmentally friendly. Research conducted in Pakistan shows that consumers tend to choose environmentally friendly products when they have a higher quality compared to conventional products [11]. Research conducted with European and non-European tourist respondents showed that the value of the function represented by price was significantly positive with green purchase intention [12].…”

Initial location selection of electric vehicles charging infrastructure in urban city through clustering algorithm

“…Prasetio et al [4] indicated that Indonesian are mainly sensitive to travel time and congestion when selecting their transportation mode. Gunawan et al [5] suggested that the attitude toward use (ATU) factor by effort expectancies and performance, price value, hedonic motivation, operational, social, and financial risks influence EVs in Indonesia. The results indicate that only financial risk factors and perceived operational break customer intentions to use EVs.…”