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Promoting Energy-Conservation Behavior in a Smart Home App : Kano Analysis of User Satisfaction with Feedback Nudges

Title data

Berger, Michelle ; Gimpel, Henner ; Schnaak, Feline ; Wolf, Linda:
Promoting Energy-Conservation Behavior in a Smart Home App : Kano Analysis of User Satisfaction with Feedback Nudges.
In: Proceedings of the 43rd International Conference on Information Systems (ICIS). - Copenhagen, Denmark , 2022

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Customer Relationship Management
No information
Projektgruppe WI Digital Life
No information
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Abstract in another language

Smart home technologies and apps are on a rise. This allows to implement digital nudging elements to foster energy-conservation behavior and, thus, contribute to mitigating climate change. Digital nudging via feedback can be effective in improving energy-conservation behavior, as substantial prior research has shown. However, the investigation of users’ preferences concerning feedback nudges is missing. This lack of knowledge is crucial, as user satisfaction influences their continuous app usage, a precondition for achieving positive effects. To close this gap, we perform a structured literature review, categorize the feedback nudge features from extant research, and conduct an online survey. Based on survey data and the Kano model, we analyze the effect of feedback nudge features on user satisfaction. Our study complements the traditional focus on the effectiveness of these nudges with a perspective on user satisfaction. The combination of both perspectives suggests which feedback nudge features should be considered for implementation.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Digital Nudging; Feedback; Smart Home Application; Energy Conservation Behavior; User Satisfaction
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: 10 Jan 2023 10:38
Last Modified: 18 Jan 2023 08:46
URI: https://eref.uni-bayreuth.de/id/eprint/73245