The correlation of factors affecting the use of bluezone app

Abstract

The emergence of the Covid-19 pandemic has had numerous negative consequences in all aspects of life. The government has taken many measures to minimize the impact and spread of the disease. Among them was the application of digital transformation to the management and tracking of Covid patients through the Bluezone app (now PC-Covid). However, using and installing Bluezone was not as expected. Therefore, this study aimed to determine the main factors and their influence on the users' behavioral intentions about using Bluezone. Survey sheets were sent to users through the Google Form tool. Experimental results through analysis of exploratory factors on 224 survey subjects showed that there were 4 main factors affecting user behavior. According to structural equation modeling, trust, performance expectations, effort expectations, and social influence, all have a positive impact on the behavioral intention of using Bluezone. Meanwhile, privacy risks have a negative impact on this behavior.