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Digital Nudging to Promote Energy Conservation Behavior : Framing and Default Rules in a Smart Home App

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

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Nachhaltiges Energiemanagement & MobilitätNo information
Projektgruppe WI Digital LifeNo information
Projektgruppe WI Customer Relationship ManagementNo information

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
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