@article{StieglitzMirbabaieDeubeletal.2023,
  author    = {Stieglitz, Stefan and Mirbabaie, Milad and Deubel, Annika and Braun, Lea-Marie and Kissmer, Tobias},
  title     = {The potential of digital nudging to bridge the gap between environmental attitude and behavior in the usage of smart home applications},
  series = {International Journal of Information Management},
  volume    = {72},
  journal   = {International Journal of Information Management},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0268-4012},
  doi       = {10.1016/j.ijinfomgt.2023.102665},
  year      = {2023},
  abstract  = {Despite energy efficiency measures, global energy demand has gradually increased due to global economic growth and changes in consumer behavior. Even if people are aware of the problem and want to change their energy consumption, they have difficulty acting on their attitudes. This is called the attitude-behavior gap. To narrow this gap and reduce energy consumption and CO2 emissions, behavioral interventions beyond technological advances must be considered. A promising intervention is nudging, which uses insights from behavioral economics to gently nudge individuals toward more sustainable choices. In this study, we investigate how modifying digital choice architectures with nudges can be used to influence consumer energy conservation behavior in smart home applications (SHAs). We conducted an online experiment with 391 participants to test the effectiveness of the following three digital nudges in an SHA: self-commitment, reminder, and social norm nudge. While the results of a structural equation model indicated no effect on bridging the gap between attitude and behavior, we found the potential to promote energy conservation with two nudge types. Thus, this paper makes substantial contribution to persuasive and information systems-enabled sustainability for a better world in the form of digital nudges for emerging technologies.},
  language  = {en}
}
@article{StieglitzMirbabaieDeubeletal.2024,
  author    = {Stieglitz, Stefan and Mirbabaie, Milad and Deubel, Annika and Braun, Lea-Marie and Kissmer, Tobias},
  title     = {Corrigendum to "The potential of digital nudging to bridge the gap between environmental attitude and behavior in the usage of smart home applications" [International Journal of Information Management 72 (2023) 102665]},
  series = {International journal of information management},
  volume    = {76},
  journal   = {International journal of information management},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0268-4012},
  doi       = {10.1016/j.ijinfomgt.2024.102774},
  pages     = {2},
  year      = {2024},
  abstract  = {We would like to inform the readers and editors of the journal that we have discovered some errors in the references of our paper. These errors were brought to our attention by a reader who noticed some inconsistencies between the citations in the text and the bibliography. Upon further investigation, we realized that our literature management software had mistakenly linked some of the references to wrong or non-existent sources. We apologize for this oversight and assure you that it did not affect the validity or quality of our arguments and results, which were based on the correct sources. Below you find a list of the incorrect references along with their corresponding correct ones. We hope that this correction statement will clarify any confusion or misunderstanding that may have arisen from this mistake. The authors would like to apologise for any inconvenience caused.},
  language  = {en}
}
@article{BiermannNowakBraunetal.2024,
  author    = {Biermann, Kaija and Nowak, Bianca and Braun, Lea-Marie and Taddicken, Monika and Kr{\"a}mer, Nicole C. and Stieglitz, Stefan},
  title     = {Does scientific evidence sell?},
  series = {Science communication},
  volume    = {0},
  journal   = {Science communication},
  publisher = {Sage},
  address   = {Thousand Oaks, Calif.},
  issn      = {1075-5470},
  doi       = {10.1177/10755470241249468},
  pages     = {34},
  year      = {2024},
  abstract  = {Examining the dissemination of evidence on social media, we analyzed the discourse around eight visible scientists in the context of COVID-19. Using manual (N = 1,406) and automated coding (N = 42,640) on an account-based tracked Twitter/X dataset capturing scientists' activities and eliciting reactions over six 2-week periods, we found that visible scientists' tweets included more scientific evidence. However, public reactions contained more anecdotal evidence. Findings indicate that evidence can be a message characteristic leading to greater tweet dissemination. Implications for scientists, including explicitly incorporating scientific evidence in their communication and examining evidence in science communication research, are discussed.},
  language  = {en}
}