Abstract
Users of digital self-tracking devices benefit from information about themselves. Thereby, the explanatory power of this information heavily depends on post-adoption continued usage of these devices. Thus, the aim of our research is to empirically analyze the factors that lead to continuous use of self-tracking devices. So far, research has largely focused on phases until IS adoption in a work environment and little on post-adoption use in a consumer context which centers on either continuance or discontinuance. To advance research in this area, we develop a conceptual model that combines both in one comprehensive model by building on established post-adoption theories. We will continue our research with a quantitative-empirical evaluation of the developed model. With our research, we aim at contributing to both a better theoretical understanding in the field of IS post-adoption in a consumer context and giving practical implications for producers of self-tracking devices.