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ID:
171510
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| Summary/Abstract |
Individuals' use of smart energy technology – i.e., technology that increases energy efficiency or increases the integration of renewable energy sources – holds great potential to solve the energy-related climate problem. However, individuals' current uptake of smart energy technology is low. If policymakers are to successfully address this issue, it is vital that they understand the determinants of individuals' smart energy technology adoption. Hence, this paper provides a comprehensive adoption model for smart energy technology, including data from over 4k individuals in Europe, Asia, and North America involved in various technological contexts and phases of diffusion. A meta-analysis identifies Attitude and Performance Expectancy as the primary determinants of individuals’ smart energy technology adoption. Further, results show that Environmental Concern influences all other determinants. Implications for research and policymakers are discussed.
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| 2 |
ID:
176656
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| Summary/Abstract |
Trials of technologies designed to promote residential demand-side energy management (DSM) have found aggregate levels of load-shifting behaviour and curtailment in energy use. These aggregate data, however, mask considerable differences in people's engagement in DSM at an individual household level. We present the findings of a quantitative exploration of people's intentions to use a home energy management system (HEMS) for residential DSM in the United Kingdom. The technology acceptance model (TAM) was used in conjunction with constructs measuring psychological empowerment and environmental attitudes to explore participants' acceptance of a HEMS to facilitate load-shifting. Findings from a mediation analysis showed perceptions of the usefulness of the HEMS and its ease of use were important predictors of people's intentions to use one. They also highlight a potential conflict between an individual's home energy consumption goals and national DSM goals. The implications of these findings for understanding end-user acceptance of HEMS are discussed. We conclude that seeking opportunities to promote shared, internalised goals for residential DSM may be an avenue for increasing the uptake and use of technologies designed to enable load-shifting (and other energy conservation behaviours) among end-users.
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