Factors Influencing the Intention to Use PeduliLindungi Application among Indonesians during COVID-19

ABSTRACT

A COVID-19 pandemic struck a major section of the world's population in 2020, causing governments in various countries to put in place a range of tracking measures to identify and locate persons afflicted with the virus. While the government installs PeduliLindungi, a tracking application, there are always concerns over the reliability, personal information and data privacy recorded in the system. People might also be reluctant to use technology because of the ease of use. The purpose of this research is then to investigate the factors that have an impact on the likelihood that Indonesians will use the PeduliLindungi application. The UTAUT2 Theory was used as the overarching framework for this research. This theory takes into account a number of different aspects, some of which are performance expectancy, effort expectancy, social impact, an enabling environment, habit, and perceived privacy credibility. Purposive sampling, as well as a quantitative (survey) technique, were used in this study. In this technique, online questionnaires were issued to Indonesian residents who were aware of or had heard about the PeduliLindungi monitoring initiative, yielding 89 valid responses. The data show that the intention to use the PeduliLindungi application has a favorable and strong relationship with four variables. Social influence, facilitating conditions, habit, and perceived privacy credibility are examples of these characteristics. However, it was discovered that performance and effort expectations had no association with the intention to use the specific tracking instrument. This work adds to the field of media information technology studies by presenting the concept of perceived privacy credibility as a key construct for developing the UTAUT2 Theory in respect to the Internet of Things (IoT). This theory provides relevant ways for tracking suspicious patients for government authorities, medical professionals, and healthcare providers. © 2022 IEEE.