An Empirical Study of Smart Home Technology Acceptance among Baby Boomers Using an Extended UTAUT2 Model
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This quantitative research aimed to examine the factors influencing smart home technology acceptance among the baby boomer generation in Shanxi Province, China, by applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The sample consisted of 393 potential users selected through convenience sampling. Data were collected via an online questionnaire. Statistical analyses, including factor analysis and path analysis, were conducted using standardized statistical software to validate the research model and test the hypotheses. The research results revealed that performance expectancy, effort expectancy, and social influence significantly and positively influenced behavioral intention, with performance expectancy being the dominant predictor. In contrast, the effects of facilitating conditions and habits on adoption intention were not statistically significant. These findings provide actionable insights for stakeholders to develop effective marketing strategies and technological support tailored to baby boomer consumers.
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