An Integrated Theoretical Model to Predict the Intention to Use Energy Monitoring Applications. Evidence from Germany
| dc.contributor.author | Wichmann, Johannes | |
| dc.contributor.author | Behn, Oliver | |
| dc.contributor.author | Degirmenci, Kenan | |
| dc.contributor.author | Leyer, Michael | |
| dc.contributor.author | Barros, Alistair | |
| dc.date.accessioned | 2024-12-26T21:05:10Z | |
| dc.date.available | 2024-12-26T21:05:10Z | |
| dc.date.issued | 2025-01-07 | |
| dc.description.abstract | 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. | |
| dc.format.extent | 10 | |
| dc.identifier.doi | https://doi.org/10.24251/HICSS.2025.114 | |
| dc.identifier.isbn | 978-0-9981331-8-8 | |
| dc.identifier.other | c8dbe1d9-ec62-46f1-b56b-ede592800a96 | |
| dc.identifier.uri | https://hdl.handle.net/10125/108952 | |
| dc.relation.ispartof | Proceedings of the 58th Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Analytics and Intelligent Decision Support for Green IS and Sustainability Applications | |
| dc.subject | energy consumption, green is, integrated model, is adoption, smart homes | |
| dc.title | An Integrated Theoretical Model to Predict the Intention to Use Energy Monitoring Applications. Evidence from Germany | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text | |
| prism.startingpage | 956 |
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