UNDERSTANDING CONSUMER ADOPTION ON PERSONAL TRAINING APPS USING AN EXTENDED UTAUT2 MODEL

• Main Author: Fikri Raifando, Gilang
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/52580
• Institution: Institut Teknologi Bandung

The current explosive trend toward wellness and technology progression that open a boundless communication through mobile internet give an access for people to the newest information and vast collection of services on health and wellness, along with the penetration of smartphone help the emergence of mobile health (mHealth) application to the public. Mobile health and fitness apps that are available falls under a number of variety and the most popular for consumer are personal training application. Personal training apps provide workout guides, videos, and coaching to assist user in performing workouts in training. The popularity leads to many developer join the competition in creating the apps. While a diverse collection of personal training apps are available, Indonesia adoption on personal training apps are low. On the other hand, the demographic surplus of Indonesia population and increased trend in health and wellness are a big opportunity for application developer and publisher in expanding into Indonesia market. Thus, it is important to identify which factors that drive consumer adoption on Mhealth personal training application. This study aim to explore factors that could contribute to the behavioural intention to adopt a mHealth personal training apps by adapting an extended UTAUT2 model and determine the relationship between behavioural intention to actual adoption of personal training apps. Data collected using primary data from online surveys distributed to personal training apps user in Jabodetabek and Bandung, Indonesia, to be used for analysis in this study. Result from PLS-SEM analysis shows that social influence, facilitating condition, habit, hedonic motivation, and self-efficacy had an significant influence on intention to adopt personal training apps. This result will further expand the discussion for technological acceptance regarding mHealth application and the subcategory of health and fitness apps. Recommendation also provided for application developer and publisher to put more emphasize on a features that drive more user adopting personal training application.