Title data
Moors, Marietta ; Schäfer, Ricarda:
Sustainability in Private Households : Investigating Acceptance of Smart Energy Apps.
In:
Proceedings of the 31st European Conference on Information Systems (ECIS). -
Kristiansand, Norway
,
2023
. - 418
Project information
Project title: |
Project's official title Project's id Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität No information |
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Abstract in another language
As the use phase of buildings produces a substantial negative environmental impact, mechanisms to guide individuals towards more sustainable energy consumption are of interest. Smart energy apps which constantly monitor energy consumption and provide energy reduction recommendations to private households are a promising tool to tackle this issue. However, as little is known about factors driving their adoption, it remains unclear whether their potential can be leveraged. Against this backdrop, this study derives a technology acceptance model for smart energy apps which builds on a quantitative survey with 300 participants and the partial least squares approach. The results highlight personal innovativeness and environmental norms as additional acceptance factors. Our study points at the importance of personality traits and individual beliefs in technology adoption research, unveils potential levers for IS to drive adoption, and provides guidance to smart energy app designers.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Smart energy app; UTAUT 2; technology acceptance |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management |
Result of work at the UBT: | No |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 07 Aug 2023 09:23 |
Last Modified: | 07 Aug 2023 09:23 |
URI: | https://eref.uni-bayreuth.de/id/eprint/86526 |