Exploring the determinants of users' continuance intention for smart wearable devices: an expanded expectation-confirmation model approach

Purpose This study extends the expectation confirmation model (ECM) to identify variables influencing users' intentions to continue using smart wearable devices. Design/methodology/approach Using partial least squares structural equation modeling (PLS-SEM), the study analyzed data from 323 participants, including both current and former users of smart wearable devices. Findings The analysis reveals that continuance intentions are strongly influenced by perceived enjoyment, perceived ease of use, satisfaction, social influence, and attitude, while perceived usefulness does not have a direct effect. Health consciousness positively moderates the relationships between satisfaction, perceived ease of use, perceived usefulness, social influence and continuance intention, but not between perceived enjoyment or attitude and continuance intention. Practical implications The findings provide actionable insights for smart wearable device developers to enhance features, help healthcare practitioners integrate these devices into care plans and guide consumers in making informed choices. Originality/value Unlike previous studies that focus primarily on the adoption phase, this study leverages an expanded ECM to offer a comprehensive analysis of factors driving the continued use of smart wearable devices.