| Summary: | Older adults in the U.S. are interested in maintaining independence, aging at home longer, and staying active. Their substantial size, market share, and household wealth sparked the interest of investors and developers in remote monitoring, smart homes, ambient-assisted living, tracking, applications, and sensors via the IoT. This study used the unified theory of acceptance and use of technology extended (UTAUT2). The overarching research question was: “To what extent do performance, effort, influence, conditions, motivation, price, and habit affect older adults’ behavioral intent to <i>use</i> IoT technologies in their homes?” The research methodology for this study was a nonexperimental correlation of the variables that affect older adults’ intention to use IoT-enabled technologies in their homes. The population was adults 60 plus years in northern Virginia. The sample consisted of 316 respondents. The seven predictors cumulatively influenced older adults’ behavioral intent to use IoT-enabled technologies, <i>F</i>(7, 308) = 133.50, <i>p</i> < 0.001, <i>R</i><sup>2</sup> = 0.75. The significant predictors of behavioral intention to use IoT technologies were performance expectancy (<i>B</i> = 0.244, <i>t</i>(308) = 4.427, <i>p</i> < 0.001), social influence (<i>B</i> = 0.138, <i>t</i>(308) = 3.4775, <i>p</i> = 0.001), facilitating conditions (<i>B</i> = 0.184, <i>t</i>(308) = 2.999, <i>p</i> = 0.003), hedonic motivation (<i>B</i> = 0.153, <i>t</i>(308) = 2.694, <i>p</i> = 0.007), price value (<i>B</i> = 0.140, <i>t</i>(308) = 3.099, <i>p</i> = 0.002), and habit (<i>B</i> = 0.378, <i>t</i>(308) = 8.696, <i>p</i> < 0.001). Effort expectancy was insignificant (<i>B</i> = −0.026, <i>t</i>(308) = −0.409, <i>p</i> = 0.683). This study filled the gap in research on older adults’ acceptance of IoT by focusing specifically on that population. The findings help reduce the risk of solutions driven by technological and organizational requirements rather than the older adults’ unique needs and requirements. The study revealed that older adults may be susceptible to undue influence to adopt IoT solutions. These socioeconomic dimensions of the UTAUT2 are essential to the information technology field because the actualizing of IoT-enabled technologies in private homes depends on older adults’ participation and adoption. This research is beneficial to IoT developers, implementers, cybersecurity researchers, healthcare providers, caregivers, and managers of in-home care providers regarding adding IoT technologies in their homes.
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