Continuance Usage Intention and Intention To Recommend on Information Based Mobile Application

the purpose of this research is to understand the antecedents of continuance usage intention and intention to recommend of information based mobile application. The underlying research model was developed from technological as well as user experience perspectives, intertwined with the expectation-confirmation model. A total of 176 respondents participated in this study, whom were avid users of a respected information based mobile application in Indonesia. Data was analyzed using Structural Equational Modeling, aided by WarpPLS 4.0. The results revealed a number of factors that influence intention to reuse and intention to recommend, which include system quality, information quality, perceived usefulness, perceived enjoyment, confirmation, and satisfaction. Perceived usefulness and satisfaction were factors that directly affect continuance usage intention. Intention to recommend, on the other hand, was only directly influenced by satisfaction. Confirmation affected both user experience factors of perceived usefulness and perceived enjoyment, as well as satisfaction. Finally, perceived usefulness was affected by information quality and perceived enjoyment was affected by system quality.