Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
Energy consumption monitoring systems are becoming increasingly sophisticated, yet their adoption to support environmentally friendly decision-making remains low. In this paper, we develop an integrated theoretical model based on Reasoned Action Approach, Unified Theory of Acceptance and Use of Technology 2, and the Self-Efficacy Theory to analyze energy monitoring adoption in a smart home context. We apply the model to empirically test the intention of German consumers to adopt an application for monitoring their energy consumption. Our results show that our model explains the intention to use energy monitoring applications, with common constructs, but highlight the important role of governmental support as a major novelty. We provide practical implications for development processes of energy monitoring applications and theoretical implications by proposing a new integrated model.
Recommended Citation
Wichmann, Johannes; Behn, Oliver; Degirmenci, Kenan; Leyer, Michael; and Barros, Alistair, "An Integrated Theoretical Model to Predict the Intention to Use Energy Monitoring Applications. Evidence from Germany" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 6.
https://aisel.aisnet.org/hicss-58/da/analytics_for_green_is/6
An Integrated Theoretical Model to Predict the Intention to Use Energy Monitoring Applications. Evidence from Germany
Hilton Waikoloa Village, Hawaii
Energy consumption monitoring systems are becoming increasingly sophisticated, yet their adoption to support environmentally friendly decision-making remains low. In this paper, we develop an integrated theoretical model based on Reasoned Action Approach, Unified Theory of Acceptance and Use of Technology 2, and the Self-Efficacy Theory to analyze energy monitoring adoption in a smart home context. We apply the model to empirically test the intention of German consumers to adopt an application for monitoring their energy consumption. Our results show that our model explains the intention to use energy monitoring applications, with common constructs, but highlight the important role of governmental support as a major novelty. We provide practical implications for development processes of energy monitoring applications and theoretical implications by proposing a new integrated model.
https://aisel.aisnet.org/hicss-58/da/analytics_for_green_is/6