Exploring the Effect of Apps Evolution and Users’ Personality on Mobile Apps Adoption and Post-Adoption Pattern Over Time: Evidence from Super-Apps Users in Indonesian Cities

Abstract

This study aims to investigate the effect of users’ personality as well as apps’ transformation to the adoption and post-adoption patterns of multi-functional apps/Super-Apps over time. A questionnaire was distributed to Super-Apps users in four Indonesian cities. Latent Markov model (LMM) was used to investigate the users’ Super-Apps usage from 2015 to 2022. Four distinctive states were recognized: the Super User (SU) state; the Transport, Consumption, and Finance (TCF) state; the Food and Beverage (F&B) and Transport (FT) state; and the Less Explored (LE) state. The analysis found that LE users have a higher probability of changing into another state of users, while TCF users tend to be more stable than other groups. A higher number of functions available does not necessarily lead to highest exploration, but it contributes to making the users evolve from LE to other states. Users who more sociable tend to explore the apps more.