Does User Satisfaction Play a Role in the Sustainability of Contact Tracing Application Intention?

Various countries have developed contact tracing applications to prevent the spread of COVID-19 outbreaks. For example, Indonesia launched a government surveillance technology named PeduliLindungi as a contact tracing application for COVID-19. This empirical paper aims to assess the explanatory power of the Expectation-Confirmation Model (ECM) by adding three new constructs, perceived security, perceived privacy, and effort expectancy, concerning the users' continuance usage of contact tracing applications. A survey instrument was developed for PeduliLindungi application users, with survey participants (N=535) recruited from Indonesia. The study tested the model using partial least squares structural equation modeling. The results showed that effort expectancy is the most significant factor in continuance intention mediated by satisfaction. Meanwhile, perceived privacy does not affect continuance intention mediated by satisfaction.