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Purpose The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ behavioral intentions to adopt and use smart home services. Design/methodology/approach This study proposes and validates a new theoretical model that extends the theory of planned behavior. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 216 survey samples. Findings Mobility, security/privacy risk, and trust in the service provider are important factors affecting the adoption of smart home services. Practical implications To increase potential users’ adoption rate, service providers should focus on developing mobility-related services that enable people to access smart home services while on the move using mobile devices via control and monitoring functions. Originality/value This study is the first empirical attempt to examine user acceptance of smart home services, as most of the prior literature has concerned technical features.