A comprehensive acceptance model for smart home services

Abstract

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

“…Besides, a comparison between TAM and UTAUT shows that perceived usefulness in TAM corresponds to performance expectancy in the UTAUT model while perceived ease of use in TAM corresponds to effort expectancy. Also, behavioural intention and actual usage are provided by both TAM and UTAUT models [ 14 , 47 ]. However, the UTAUT model does not include the attitude construct in TAM as illustrated in Fig 3 .…”

“…Such positive feelings and attitudes increase people's intention to adopt and use it [3,40]. Thus, the TAM has been validated and widely used in technology adoption research [14]. TAM has received much attention from different researchers through modifications and extensions from other theories that have appeared in the technology management literature [41][42][43][44][45].…”

“…Prior studies seemed to have focused much attention on the technological aspects of SHTs with less attention on the behavioural aspects [ 12 , 13 ]. Although a few researchers have examined the drivers of SHTs intention to use by considering different factors like technology trust, security risk, and cost [ 14 , 15 ], many crucial factors especially different contextual factors are yet to be explored and investigated.…”

A study on community older people’s willingness to use smart home—an extended technology acceptance model with intergenerational relationships

“…Several studies have examined the factors that influence the acceptance of smart home services by older adults, including personal and environmental perception factors. Personal perception factors comprise perceived ease of use, perceived usefulness, perceived cost ( 16 ), facilitating conditions ( 7 ),technology anxiety ( 17 ), and security and privacy concerns ( 16–18 ). Environmental perception factors include social influence ( 7 , 18 ), subjective norms ( 15 ), cultural influence ( 7 ), family management policies, and government policies ( 18 ).…”

“…The Technology Acceptance Model (TAM) framework comprises of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioral Intention (BI). According to TAM, PEOU refers to “the effortlessness experienced by older adults while using smart-home services,” whereas PU pertains to “the extent to which older adults believe that smart-home services can enhance their overall quality of life.” Previous studies have shown that both PU and PEOU significantly affect the intention of older adults to use smart-home services, either directly or indirectly through attitudes ( 16 , 45 ).…”