This study investigates the factors driving personal computer (PC) adoption in American households. It reveals that adoption decisions are significantly different from non-adoption decisions. Adopters are driven by utilitarian, hedonic, and social outcomes, while non-adopters are influenced by rapid technological changes and fears of obsolescence. A second wave of data collection six months later showed an asymmetrical relationship between intent and behavior, with non-intenders more closely aligning with their intent than intenders. The research highlights the importance of understanding household adoption of technologies in both homes and workplaces, as well as challenges facing the PC industry. The study uses the Theory of Planned Behavior (TPB) to develop a model of household PC adoption, considering attitudinal, normative, and control belief structures. The findings suggest that utilitarian, hedonic, and social outcomes are key determinants of adoption decisions, while barriers such as knowledge, difficulty of use, and cost significantly influence non-adoption. The study also shows that future adoption decisions are influenced by social influences and barriers, with non-adopters being more affected by these factors. The research provides insights into the adoption and diffusion of information technologies in households and has implications for managing information technology resources in e-commerce. The study's methodology involved a longitudinal survey of 733 households, with follow-up data collected six months later. The results indicate that a third of households owned a PC, with many intending to purchase another in the future. The study also highlights the importance of understanding the factors influencing current and future purchase decisions, as well as the role of social influences and barriers in adoption and non-adoption. The findings have implications for both research and practice in the field of information systems and e-commerce.This study investigates the factors driving personal computer (PC) adoption in American households. It reveals that adoption decisions are significantly different from non-adoption decisions. Adopters are driven by utilitarian, hedonic, and social outcomes, while non-adopters are influenced by rapid technological changes and fears of obsolescence. A second wave of data collection six months later showed an asymmetrical relationship between intent and behavior, with non-intenders more closely aligning with their intent than intenders. The research highlights the importance of understanding household adoption of technologies in both homes and workplaces, as well as challenges facing the PC industry. The study uses the Theory of Planned Behavior (TPB) to develop a model of household PC adoption, considering attitudinal, normative, and control belief structures. The findings suggest that utilitarian, hedonic, and social outcomes are key determinants of adoption decisions, while barriers such as knowledge, difficulty of use, and cost significantly influence non-adoption. The study also shows that future adoption decisions are influenced by social influences and barriers, with non-adopters being more affected by these factors. The research provides insights into the adoption and diffusion of information technologies in households and has implications for managing information technology resources in e-commerce. The study's methodology involved a longitudinal survey of 733 households, with follow-up data collected six months later. The results indicate that a third of households owned a PC, with many intending to purchase another in the future. The study also highlights the importance of understanding the factors influencing current and future purchase decisions, as well as the role of social influences and barriers in adoption and non-adoption. The findings have implications for both research and practice in the field of information systems and e-commerce.