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.

The word “smart” has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications.

In spite of high expectations for augmented reality (AR) technology, many smartphone AR applications have failed and terminated their services in Korea because of low usage rates. As failures of smartphone AR applications have increased, investigating factors that influence users’ continuance intention to use the AR applications become an important topic. This study develops a theoretical model that explains continuance intention of users based on AR and motivation theories, and empirically examines the influencing factors with collected data from smartphone AR application users. The results showed that information quality was the most influencing factor for AR continuance intention among AR factors, while perceived enjoyment was not a significant antecedent. The implications of this study provide additional insights for smartphone AR researchers and developers.