Analysis of Behavior Intention to Use Fitness Mobile Application with the UTAUT2 Model

Abstract

Mobile applications are growing every year, increasing more during the COVID-19 pandemic. Most of the mobile applications that appear are applications related to health and other use to cope with the covid-19 pandemic, but with that substantial number of applications, it is not yet known how users accept this type of application and will be loyal to use it even if the pandemic is over. This study aims to analyze the effects of performance expectations, business expectations, social influences, facility conditions, and habits to understand user behavioral intentions on fitness applications using the UTAUT 2 model using quantitative methods. Data was gathered from March to April 2022 by distributing online questionaries using google form through social media, with non-probability sampling. This study uses 7 factors contained in the UTAUT2 Model, namely Performance Expectancy, Effort Expectancy, Facilitating Condition, Social Influence, Price Value, Hedonic Motivation, and Habit. The target respondents of this study are fitness application users at least 17 years old. Then the data is processed using the SEM-PLS method. There are 7 hypotheses formed with 4 accepted and 3 rejected hypotheses.