Linda Wolf
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Linda Wolf has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Martin Weibelzahl
FIM Research Center, Bayreuth, Germany
3 shared publications - Robert Keller
Kempten University of Applied Sciences
3 shared publications - Henner Gimpel
Branch Business & Information Systems Engineering of the Fraunhofer FIT, Augsburg, Germany
2 shared publications - Diana Chvirova
Fraunhofer FIT
1 shared publication - Feline Schnaak
FIM Research Center for Information Management, Augsburg, Germany
1 shared publication - Felix Baumgarte
Universität Bayreuth, Institutsteil Wirtschaftsinformatik des Fraunhofer FIT
1 shared publication
Latest Publications
- Open Access
- 3 December 2025
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 228
Navigating the energy transition: A review of factors influencing renewable energy investments
- 3 December 2025
- Published by Elsevier in Renewable and Sustainable Energy Reviews
- Vol. 228
Open AccessNavigating the energy transition: A review of factors influencing renewable energy investments
- 27 May 2025
- Published by Springer Nature
- p. 251-262
The Decoy Effect in Recommender Systems: Leveraging Digital Nudging for Sustainable Tourism
- 27 May 2025
- Published by Springer Nature
- p. 251-262
The Decoy Effect in Recommender Systems: Leveraging Digital Nudging for Sustainable Tourism
- Open Access
- 5 April 2025
- Published by Springer Nature in Electronic Markets
- Vol. 35 (1) , 1-21
Can feedback nudges enhance user satisfaction? Kano analysis for different eco-feedback nudge features in a smart home app
Digital nudging in smart home apps promotes energy conservation behavior in everyday life, helping to mitigate climate change. Prior research demonstrates the promising effect of the digital nudging element eco-feedback supporting behavioral change. However, the effect depends on adopting and using smart home apps with eco-feedback integrated. Hence, investigating user preferences concerning eco-feedback nudges is crucial in developing smart home apps that satisfy users. Considering the eco-feedback nudge features derived from a structured literature review, we conducted two user surveys approximately one year apart and assessed user satisfaction using the Kano model. The Kano model categorizes these features according to whether the user expects the feature or not, and whether the feature has a positive effect on user satisfaction when implemented or a negative effect when not implemented. As a result, we examine the impact of different eco-feedback nudge features on user satisfaction. Our study evaluates the robustness of user satisfaction over time and thereby adds another perspective to the traditional focus on the effectiveness of these nudges. Combining both perspectives – effectiveness and user satisfaction – is valuable for developers and providers of smart home apps to suggest which eco-feedback nudge features to incorporate.
- 5 April 2025
- Published by Springer Nature in Electronic Markets
- Vol. 35 (1) , 1-21
Open AccessCan feedback nudges enhance user satisfaction? Kano analysis for different eco-feedback nudge features in a smart home app
Digital nudging in smart home apps promotes energy conservation behavior in everyday life, helping to mitigate climate change. Prior research demonstrates the promising effect of the digital nudging element eco-feedback supporting behavioral change. However, the effect depends on adopting and using smart home apps with eco-feedback integrated. Hence, investigating user preferences concerning eco-feedback nudges is crucial in developing smart home apps that satisfy users. Considering the eco-feedback nudge features derived from a structured literature review, we conducted two user surveys approximately one year apart and assessed user satisfaction using the Kano model. The Kano model categorizes these features according to whether the user expects the feature or not, and whether the feature has a positive effect on user satisfaction when implemented or a negative effect when not implemented. As a result, we examine the impact of different eco-feedback nudge features on user satisfaction. Our study evaluates the robustness of user satisfaction over time and thereby adds another perspective to the traditional focus on the effectiveness of these nudges. Combining both perspectives – effectiveness and user satisfaction – is valuable for developers and providers of smart home apps to suggest which eco-feedback nudge features to incorporate.
- Open Access
- 17 April 2024
- Published by Elsevier in Applied Energy
- Vol. 365
Customer satisfaction at large charging parks: Expectation-disconfirmation theory for fast charging
- 17 April 2024
- Published by Elsevier in Applied Energy
- Vol. 365
Open AccessCustomer satisfaction at large charging parks: Expectation-disconfirmation theory for fast charging
- 16 February 2023
- Published by Springer Nature
- p. 385-416
Elektromobilität im Tourismus – Herausforderungen und potenzielle Lösungsansätze
- 16 February 2023
- Published by Springer Nature
- p. 385-416
Elektromobilität im Tourismus – Herausforderungen und potenzielle Lösungsansätze
- Open Access
- 1 August 2021
- Published by Elsevier in Transportation Research Part D: Transport and Environment
- Vol. 97
Smarter charging: Power allocation accounting for travel time of electric vehicle drivers
- 1 August 2021
- Published by Elsevier in Transportation Research Part D: Transport and Environment
- Vol. 97
Open AccessSmarter charging: Power allocation accounting for travel time of electric vehicle drivers