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.

Digital signatures have been widely and primarily used for document approval activities during the Coronavirus pandemic in Indonesia. This is the digital equivalent of a handwritten signature or stamped seal, although it provides more inherent security, such as validating the authenticity and integrity of a message, software, or virtual document. Therefore, this study aims to determine factors affecting consumer intention in using digital signatures based on (i) the unified theory of acceptance and use of technology 2, (ii) the theory of planned behavior, and (iii) the information acceptance model. A total of 358 respondents answered the online questionnaire containing 69 question items, with the data analyzed using the structural equation modeling technique to examine the hypotheses. The results showed that the relationship between consumers’ attitudes, perceived behavioral control, subjective norms, and information adoption had the highest and lowest effects on consumers’ behavioral intention. Moreover, the consumers’ attitudes had the most significant effect on their attitudinal intention to use digital signatures. The significant positive impact of these consumers’ attitudes had relevant implications for the sustainable adoption of the signature system. This indicated that an integrating model with the potential of extending to consumers’ intention analysis was established for digital signature adoption in other countries after the post-Coronavirus period.