Title data
Berger, Michelle ; Greinacher, Eilas ; Wolf, Linda:
Digital Nudging to Promote Energy Conservation Behavior : Framing and Default Rules in a Smart Home App.
In:
Proceedings of the 30th European Conference on Information Systems (ECIS). -
Timișoara, Romania
,
2022
Project information
Project title: |
Project's official title Project's id Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität No information Projektgruppe WI Digital Life No information Projektgruppe WI Customer Relationship Management No information |
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Abstract in another language
Increasingly, new energy-efficient technologies connected to smart home arise and bear great potential of influencing user's decisions. Thereby, behavioral interventions like digital nudging are promising to influence behavior. While nudging has been investigated in several contexts to promote sustainable behavior, little is known about its effectiveness in digital choice environments promoting daily energy conservation behavior, especially through mobile applications. As private households account for a large share of total energy consumption, which needs to be reduced to counteract climate change, we conducted an online survey to test the nudging elements framing and default rules, as well as their combination. We surveyed 231 participants and found a large effect of framing and an even larger effect for the combination. This paper contributes by exploring these digital nudges, which received little attention in prior research, and by providing insights on the design of smart home applications to reduce energy consumption.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Digital Nudging; Smart Home Application; Energy Conservation; Sustainability |
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 > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 03 Jun 2022 10:35 |
Last Modified: | 04 Aug 2022 07:14 |
URI: | https://eref.uni-bayreuth.de/id/eprint/69956 |