This article develops and tests a model to explain consumers' intention to use mobile services, integrating theories from information systems research, uses and gratifications research, and domestication research. The model proposes four influences on usage intention: motivational influences (usefulness, ease of use, enjoyment, and expressiveness), attitudinal influences, normative pressure, and perceived control. The study examines the moderating effects of service characteristics (interactivity and process) on these influences. Empirical studies of four mobile services—text messaging, gaming, contact, and payment—show strong support for the effects of motivational and attitudinal influences, normative pressure, and perceived control. The results also indicate that some effects are moderated by process characteristics, such as goal-directed versus experiential services. The article contributes to a broader understanding of the antecedents of consumers' intentions to use mobile services and provides insights into the differential predictive power of the model across different service categories.This article develops and tests a model to explain consumers' intention to use mobile services, integrating theories from information systems research, uses and gratifications research, and domestication research. The model proposes four influences on usage intention: motivational influences (usefulness, ease of use, enjoyment, and expressiveness), attitudinal influences, normative pressure, and perceived control. The study examines the moderating effects of service characteristics (interactivity and process) on these influences. Empirical studies of four mobile services—text messaging, gaming, contact, and payment—show strong support for the effects of motivational and attitudinal influences, normative pressure, and perceived control. The results also indicate that some effects are moderated by process characteristics, such as goal-directed versus experiential services. The article contributes to a broader understanding of the antecedents of consumers' intentions to use mobile services and provides insights into the differential predictive power of the model across different service categories.