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Abstract There is an expanding range of technologies used in a residential setting to enable sustainable living, including ‘smart’ technology that uses learning and connectivity to modify household behaviours. Understanding what drives the adoption of sustainable household technology will allow product developers, marketers and policy makers to use technology to reduce the environmental impact of homes. Based on the United Theory of Acceptance and Use of Technology, a model that explains predictors of intention to adopt sustainable household technology was developed and tested via an online survey of 592 US consumers. The results from structural equation modelling demonstrate that product attributes of sustainable household technology including performance, compatibleness and hedonic expectancy as well as consumer characteristics, in specific, sustainable innovativeness significantly predicts adoption intent. Conversely, the model testing shows that effort expectancy as well as social pressure and environmentalism are not significant predictors of adoption intention Theoretical and practical implications are discussed.
Ahn et al. (Fri,) studied this question.
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