Determinants and risks of intentions to use mobile applications in museums: an application of fsQCA

This research aims to analyse the complexity of the factors that influence intentions to use advanced mobile applications (apps) based on smart technologies like beacons in which tourists can access information through their smartphones while visiting a museum based in the localization. A total of 542 individuals participated in an experiment. An asymmetrical analysis through a fuzzy-set qualitative comparative analysis (fsQCA) investigated the causal configurations of determinants and risks that lead to the intention to use beacons mobile applications in museums. This study also uses a symmetrical analysis, namely partial least squares structural equation modelling (PLS-SEM), to compare this analysis with the asymmetrical one. The results revealed nine models of determinants and risks that led to a high intention to use these mobile applications. The findings have practical and theoretical implications for the development of new theories in mobile services with regard to accessing information while travelling.