Increasing telemedicine adoption in Indonesia using extended UTAUT2 model

Telemedicine is an important component in digital transformation of health in Indonesia. The use of telemedicine can increase equity in access to public health in Indonesia. However, 58.2% of Indonesians are still unaware of telemedicine's existence. Factors that influence telemedicine acceptance after the COVID-19 pandemic ends are also unclear. This study aims to obtain the factors that influence the adoption of telemedicine in Indonesia and to recommend the best recommendation to increase the adoption of telemedicine technology in Indonesia. The model used in this research is the UTAUT2 technology adoption model. This study used PLS-SEM (Partial Least Square-Structural Equation Modeling) to analyze the data from 350 respondents who have used telemedicine before. The selection of recommendations is based on research results using the Complex Proportional Assessment (COPRAS) method. The findings of the study indicate that Price Value (PV), Social Influence (SI), Facilitating Conditions (FC), Geographical Location (GL), and Performance Expectancy (PE) have significant effects on telemedicine adoption in Indonesia, while telemedicine socialization program is a top recommendation to increase adoption of telemedicine in Indonesia.