---
_id: '49457'
author:
- first_name: T.
full_name: Krämer, T.
last_name: Krämer
- first_name: W.
full_name: Weiger, W.
last_name: Weiger
- first_name: S.
full_name: Trang, S.
last_name: Trang
- first_name: M.
full_name: Trenz, M.
last_name: Trenz
citation:
ama: Krämer T, Weiger W, Trang S, Trenz M. Deflected by the Tin Foil Hat? Word-of-Mouth,
Conspiracy Beliefs, and the Adoption of Public Health Apps. Journal of Product
Innovation Management. 2023;40:154-174.
apa: Krämer, T., Weiger, W., Trang, S., & Trenz, M. (2023). Deflected by the
Tin Foil Hat? Word-of-Mouth, Conspiracy Beliefs, and the Adoption of Public Health
Apps. Journal of Product Innovation Management, 40, 154–174.
bibtex: '@article{Krämer_Weiger_Trang_Trenz_2023, title={Deflected by the Tin Foil
Hat? Word-of-Mouth, Conspiracy Beliefs, and the Adoption of Public Health Apps},
volume={40}, journal={Journal of Product Innovation Management}, author={Krämer,
T. and Weiger, W. and Trang, S. and Trenz, M.}, year={2023}, pages={154–174} }'
chicago: 'Krämer, T., W. Weiger, S. Trang, and M. Trenz. “Deflected by the Tin Foil
Hat? Word-of-Mouth, Conspiracy Beliefs, and the Adoption of Public Health Apps.”
Journal of Product Innovation Management 40 (2023): 154–74.'
ieee: T. Krämer, W. Weiger, S. Trang, and M. Trenz, “Deflected by the Tin Foil Hat?
Word-of-Mouth, Conspiracy Beliefs, and the Adoption of Public Health Apps,” Journal
of Product Innovation Management, vol. 40, pp. 154–174, 2023.
mla: Krämer, T., et al. “Deflected by the Tin Foil Hat? Word-of-Mouth, Conspiracy
Beliefs, and the Adoption of Public Health Apps.” Journal of Product Innovation
Management, vol. 40, 2023, pp. 154–74.
short: T. Krämer, W. Weiger, S. Trang, M. Trenz, Journal of Product Innovation Management
40 (2023) 154–174.
date_created: 2023-12-04T13:37:05Z
date_updated: 2023-12-04T14:15:15Z
department:
- _id: '792'
- _id: '681'
intvolume: ' 40'
language:
- iso: eng
page: 154-174
publication: Journal of Product Innovation Management
status: public
title: Deflected by the Tin Foil Hat? Word-of-Mouth, Conspiracy Beliefs, and the Adoption
of Public Health Apps
type: journal_article
user_id: '46138'
volume: 40
year: '2023'
...
---
_id: '49455'
author:
- first_name: S.
full_name: Hengstler, S.
last_name: Hengstler
- first_name: S.
full_name: Kuehnel, S.
last_name: Kuehnel
- first_name: K.
full_name: Masuch, K.
last_name: Masuch
- first_name: I.
full_name: Nastjuk, I.
last_name: Nastjuk
- first_name: S.
full_name: Trang, S.
last_name: Trang
citation:
ama: Hengstler S, Kuehnel S, Masuch K, Nastjuk I, Trang S. Should I Really do That?
Using Quantile Regression to Examine the Impact of Sanctions on Information Security
Policy Compliance Behavior. Computers & Security. Published online
2023.
apa: Hengstler, S., Kuehnel, S., Masuch, K., Nastjuk, I., & Trang, S. (2023).
Should I Really do That? Using Quantile Regression to Examine the Impact of Sanctions
on Information Security Policy Compliance Behavior. Computers & Security.
bibtex: '@article{Hengstler_Kuehnel_Masuch_Nastjuk_Trang_2023, title={Should I Really
do That? Using Quantile Regression to Examine the Impact of Sanctions on Information
Security Policy Compliance Behavior}, journal={Computers & Security}, author={Hengstler,
S. and Kuehnel, S. and Masuch, K. and Nastjuk, I. and Trang, S.}, year={2023}
}'
chicago: Hengstler, S., S. Kuehnel, K. Masuch, I. Nastjuk, and S. Trang. “Should
I Really Do That? Using Quantile Regression to Examine the Impact of Sanctions
on Information Security Policy Compliance Behavior.” Computers & Security,
2023.
ieee: S. Hengstler, S. Kuehnel, K. Masuch, I. Nastjuk, and S. Trang, “Should I Really
do That? Using Quantile Regression to Examine the Impact of Sanctions on Information
Security Policy Compliance Behavior,” Computers & Security, 2023.
mla: Hengstler, S., et al. “Should I Really Do That? Using Quantile Regression to
Examine the Impact of Sanctions on Information Security Policy Compliance Behavior.”
Computers & Security, 2023.
short: S. Hengstler, S. Kuehnel, K. Masuch, I. Nastjuk, S. Trang, Computers &
Security (2023).
date_created: 2023-12-04T13:36:41Z
date_updated: 2023-12-04T14:15:39Z
department:
- _id: '792'
- _id: '681'
language:
- iso: eng
publication: Computers & Security
status: public
title: Should I Really do That? Using Quantile Regression to Examine the Impact of
Sanctions on Information Security Policy Compliance Behavior
type: journal_article
user_id: '46138'
year: '2023'
...
---
_id: '47953'
author:
- first_name: Jaroslaw
full_name: Kornowicz, Jaroslaw
id: '44029'
last_name: Kornowicz
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Kornowicz J, Thommes K. Aggregating Human Domain Knowledge for Feature Ranking.
Artificial Intelligence in HCI. Published online 2023. doi:10.1007/978-3-031-35891-3_7
apa: Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge
for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7
bibtex: '@article{Kornowicz_Thommes_2023, title={Aggregating Human Domain Knowledge
for Feature Ranking}, DOI={10.1007/978-3-031-35891-3_7},
journal={Artificial Intelligence in HCI}, publisher={Springer Nature Switzerland},
author={Kornowicz, Jaroslaw and Thommes, Kirsten}, year={2023} }'
chicago: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
for Feature Ranking.” Artificial Intelligence in HCI, 2023. https://doi.org/10.1007/978-3-031-35891-3_7.
ieee: 'J. Kornowicz and K. Thommes, “Aggregating Human Domain Knowledge for Feature
Ranking,” Artificial Intelligence in HCI, 2023, doi: 10.1007/978-3-031-35891-3_7.'
mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
for Feature Ranking.” Artificial Intelligence in HCI, Springer Nature Switzerland,
2023, doi:10.1007/978-3-031-35891-3_7.
short: J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).
date_created: 2023-10-11T08:01:00Z
date_updated: 2023-12-05T10:15:37Z
department:
- _id: '184'
- _id: '178'
doi: 10.1007/978-3-031-35891-3_7
language:
- iso: eng
project:
- _id: '125'
name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Artificial Intelligence in HCI
publication_identifier:
isbn:
- '9783031358906'
- '9783031358913'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Aggregating Human Domain Knowledge for Feature Ranking
type: journal_article
user_id: '42933'
year: '2023'
...
---
_id: '47972'
author:
- first_name: Jana Kim
full_name: Gutt, Jana Kim
id: '32957'
last_name: Gutt
- first_name: Miro
full_name: Mehic, Miro
id: '56915'
last_name: Mehic
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: 'Gutt JK, Mehic M, Thommes K. Oh my Goodness: Investigating the Goodness of
Performance Appraisal Formats Between and Within Teams. In: Academy of Management
Proceedings. ; 2023. doi:10.5465/AMPROC.2023.214'
apa: 'Gutt, J. K., Mehic, M., & Thommes, K. (2023). Oh my Goodness: Investigating
the Goodness of Performance Appraisal Formats Between and Within Teams. Academy
of Management Proceedings. https://doi.org/10.5465/AMPROC.2023.214'
bibtex: '@inproceedings{Gutt_Mehic_Thommes_2023, title={Oh my Goodness: Investigating
the Goodness of Performance Appraisal Formats Between and Within Teams}, DOI={10.5465/AMPROC.2023.214}, booktitle={Academy
of Management Proceedings}, author={Gutt, Jana Kim and Mehic, Miro and Thommes,
Kirsten}, year={2023} }'
chicago: 'Gutt, Jana Kim, Miro Mehic, and Kirsten Thommes. “Oh My Goodness: Investigating
the Goodness of Performance Appraisal Formats Between and Within Teams.” In Academy
of Management Proceedings, 2023. https://doi.org/10.5465/AMPROC.2023.214.'
ieee: 'J. K. Gutt, M. Mehic, and K. Thommes, “Oh my Goodness: Investigating the
Goodness of Performance Appraisal Formats Between and Within Teams,” 2023, doi:
10.5465/AMPROC.2023.214.'
mla: 'Gutt, Jana Kim, et al. “Oh My Goodness: Investigating the Goodness of Performance
Appraisal Formats Between and Within Teams.” Academy of Management Proceedings,
2023, doi:10.5465/AMPROC.2023.214.'
short: 'J.K. Gutt, M. Mehic, K. Thommes, in: Academy of Management Proceedings,
2023.'
date_created: 2023-10-11T08:29:37Z
date_updated: 2023-12-05T10:14:08Z
department:
- _id: '184'
- _id: '178'
doi: 10.5465/AMPROC.2023.214
language:
- iso: eng
publication: Academy of Management Proceedings
status: public
title: 'Oh my Goodness: Investigating the Goodness of Performance Appraisal Formats
Between and Within Teams'
type: conference
user_id: '42933'
year: '2023'
...
---
_id: '44639'
article_number: '100258'
author:
- first_name: Julia Amelie
full_name: Hoppe, Julia Amelie
id: '73093'
last_name: Hoppe
- first_name: Outi
full_name: Tuisku, Outi
last_name: Tuisku
- first_name: Rose-Marie
full_name: Johansson-Pajala, Rose-Marie
last_name: Johansson-Pajala
- first_name: Satu
full_name: Pekkarinen, Satu
last_name: Pekkarinen
- first_name: Lea
full_name: Hennala, Lea
last_name: Hennala
- first_name: Christine
full_name: Gustafsson, Christine
last_name: Gustafsson
- first_name: Helinä
full_name: Melkas, Helinä
last_name: Melkas
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Hoppe JA, Tuisku O, Johansson-Pajala R-M, et al. When do individuals choose
care robots over a human caregiver? Insights from a laboratory experiment on choices
under uncertainty. Computers in Human Behavior Reports. 2023;9. doi:10.1016/j.chbr.2022.100258
apa: Hoppe, J. A., Tuisku, O., Johansson-Pajala, R.-M., Pekkarinen, S., Hennala,
L., Gustafsson, C., Melkas, H., & Thommes, K. (2023). When do individuals
choose care robots over a human caregiver? Insights from a laboratory experiment
on choices under uncertainty. Computers in Human Behavior Reports, 9,
Article 100258. https://doi.org/10.1016/j.chbr.2022.100258
bibtex: '@article{Hoppe_Tuisku_Johansson-Pajala_Pekkarinen_Hennala_Gustafsson_Melkas_Thommes_2023,
title={When do individuals choose care robots over a human caregiver? Insights
from a laboratory experiment on choices under uncertainty}, volume={9}, DOI={10.1016/j.chbr.2022.100258},
number={100258}, journal={Computers in Human Behavior Reports}, publisher={Elsevier
BV}, author={Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie
and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä
and Thommes, Kirsten}, year={2023} }'
chicago: Hoppe, Julia Amelie, Outi Tuisku, Rose-Marie Johansson-Pajala, Satu Pekkarinen,
Lea Hennala, Christine Gustafsson, Helinä Melkas, and Kirsten Thommes. “When Do
Individuals Choose Care Robots over a Human Caregiver? Insights from a Laboratory
Experiment on Choices under Uncertainty.” Computers in Human Behavior Reports
9 (2023). https://doi.org/10.1016/j.chbr.2022.100258.
ieee: 'J. A. Hoppe et al., “When do individuals choose care robots over a
human caregiver? Insights from a laboratory experiment on choices under uncertainty,”
Computers in Human Behavior Reports, vol. 9, Art. no. 100258, 2023, doi:
10.1016/j.chbr.2022.100258.'
mla: Hoppe, Julia Amelie, et al. “When Do Individuals Choose Care Robots over a
Human Caregiver? Insights from a Laboratory Experiment on Choices under Uncertainty.”
Computers in Human Behavior Reports, vol. 9, 100258, Elsevier BV, 2023,
doi:10.1016/j.chbr.2022.100258.
short: J.A. Hoppe, O. Tuisku, R.-M. Johansson-Pajala, S. Pekkarinen, L. Hennala,
C. Gustafsson, H. Melkas, K. Thommes, Computers in Human Behavior Reports 9 (2023).
date_created: 2023-05-08T12:29:18Z
date_updated: 2023-12-06T09:16:42Z
department:
- _id: '178'
- _id: '184'
doi: 10.1016/j.chbr.2022.100258
intvolume: ' 9'
keyword:
- Artificial Intelligence
- Cognitive Neuroscience
- Computer Science Applications
- Human-Computer Interaction
- Applied Psychology
- Neuroscience (miscellaneous)
language:
- iso: eng
project:
- _id: '46'
grant_number: 16SV7954
name: 'ORIENT: Use of care robots in welfare services: New models for effective
orientation'
publication: Computers in Human Behavior Reports
publication_identifier:
issn:
- 2451-9588
publication_status: published
publisher: Elsevier BV
status: public
title: When do individuals choose care robots over a human caregiver? Insights from
a laboratory experiment on choices under uncertainty
type: journal_article
user_id: '42933'
volume: 9
year: '2023'
...
---
_id: '47078'
abstract:
- lang: eng
text: 'Informationen sind für eine erfolgreiche Klimapolitik in doppelter
Hinsicht wichtig: Sie werden benötigt, wenn Potenziale zur Vermeidung von Emissionen
identifiziert und klimapolitische Instrumente ausgewählt werden. Und sie sind
zentral, damit Bürger/innen selbst Entscheidungen im Sinne des Klimaschutzes treffen
können.'
author:
- first_name: Marc
full_name: Frick, Marc
last_name: Frick
- first_name: Dario
full_name: Foese, Dario
last_name: Foese
- first_name: Kathrine
full_name: Von Graevenitz, Kathrine
last_name: Von Graevenitz
- first_name: Martin
full_name: Kesternich, Martin
id: '98922'
last_name: Kesternich
- first_name: Ulrich
full_name: Wagner, Ulrich
last_name: Wagner
citation:
ama: Frick M, Foese D, Von Graevenitz K, Kesternich M, Wagner U. Die Doppelwirkung
von Information Für Klimafreundliches Handeln. Ökologisches Wirtschaften 38(1);
2023:44-50. doi:10.14512/oew380144
apa: Frick, M., Foese, D., Von Graevenitz, K., Kesternich, M., & Wagner, U.
(2023). Die Doppelwirkung von Information für klimafreundliches Handeln
(pp. 44–50). Ökologisches Wirtschaften 38(1). https://doi.org/10.14512/oew380144
bibtex: '@book{Frick_Foese_Von Graevenitz_Kesternich_Wagner_2023, title={Die Doppelwirkung
von Information für klimafreundliches Handeln}, DOI={10.14512/oew380144},
publisher={Ökologisches Wirtschaften 38(1)}, author={Frick, Marc and Foese, Dario
and Von Graevenitz, Kathrine and Kesternich, Martin and Wagner, Ulrich}, year={2023},
pages={44–50} }'
chicago: Frick, Marc, Dario Foese, Kathrine Von Graevenitz, Martin Kesternich, and
Ulrich Wagner. Die Doppelwirkung von Information Für Klimafreundliches Handeln.
Ökologisches Wirtschaften 38(1), 2023. https://doi.org/10.14512/oew380144.
ieee: M. Frick, D. Foese, K. Von Graevenitz, M. Kesternich, and U. Wagner, Die
Doppelwirkung von Information für klimafreundliches Handeln. Ökologisches
Wirtschaften 38(1), 2023, pp. 44–50.
mla: Frick, Marc, et al. Die Doppelwirkung von Information Für Klimafreundliches
Handeln. Ökologisches Wirtschaften 38(1), 2023, pp. 44–50, doi:10.14512/oew380144.
short: M. Frick, D. Foese, K. Von Graevenitz, M. Kesternich, U. Wagner, Die Doppelwirkung
von Information Für Klimafreundliches Handeln, Ökologisches Wirtschaften 38(1),
2023.
date_created: 2023-09-15T11:42:23Z
date_updated: 2023-12-06T13:05:08Z
department:
- _id: '791'
- _id: '681'
doi: 10.14512/oew380144
keyword:
- General Medicine
language:
- iso: eng
page: 44-50
publication_identifier:
issn:
- 1430-8800
publication_status: published
publisher: Ökologisches Wirtschaften 38(1)
status: public
title: Die Doppelwirkung von Information für klimafreundliches Handeln
type: working_paper
user_id: '98922'
year: '2023'
...
---
_id: '47921'
abstract:
- lang: eng
text: The relationship between nonfinancial reporting and real sustainable
change within and beyond organizations is fraught with complication. Furthermore,
all facets of the relationship have not been examined equally. The contributions
of this special issue made substantive progress in this regard and draw our focus
to several remaining complications—in particular, the societal impacts of nonfinancial
reporting. With this introduction, we seek to move the conversation forward by
proposing a framework that disentangles the linkages between nonfinancial reporting
and real sustainable change at multiple levels of analysis. We highlight the distinction
between sustainability-related outputs and outcomes that typically materialize
at the firm level, and eventually lead to sustainable impact at the societal level.
Future research should advance this distinction and scrutinize the impact of real
sustainable change beyond firm-level outputs, study the organizational change
processes from antecedents to impacts, and examine the interrelationships between
different instruments to foster real sustainable change.
author:
- first_name: Rüdiger
full_name: Hahn, Rüdiger
last_name: Hahn
- first_name: Daniel
full_name: Reimsbach, Daniel
id: '100169'
last_name: Reimsbach
- first_name: Christopher
full_name: Wickert, Christopher
last_name: Wickert
citation:
ama: 'Hahn R, Reimsbach D, Wickert C. Nonfinancial Reporting and Real Sustainable
Change: Relationship Status—It’s Complicated. Organization & Environment.
2023;36(1):3-16. doi:10.1177/10860266231151653'
apa: 'Hahn, R., Reimsbach, D., & Wickert, C. (2023). Nonfinancial Reporting
and Real Sustainable Change: Relationship Status—It’s Complicated. Organization
& Environment, 36(1), 3–16. https://doi.org/10.1177/10860266231151653'
bibtex: '@article{Hahn_Reimsbach_Wickert_2023, title={Nonfinancial Reporting and
Real Sustainable Change: Relationship Status—It’s Complicated}, volume={36}, DOI={10.1177/10860266231151653},
number={1}, journal={Organization & Environment}, publisher={SAGE Publications},
author={Hahn, Rüdiger and Reimsbach, Daniel and Wickert, Christopher}, year={2023},
pages={3–16} }'
chicago: 'Hahn, Rüdiger, Daniel Reimsbach, and Christopher Wickert. “Nonfinancial
Reporting and Real Sustainable Change: Relationship Status—It’s Complicated.”
Organization & Environment 36, no. 1 (2023): 3–16. https://doi.org/10.1177/10860266231151653.'
ieee: 'R. Hahn, D. Reimsbach, and C. Wickert, “Nonfinancial Reporting and Real Sustainable
Change: Relationship Status—It’s Complicated,” Organization & Environment,
vol. 36, no. 1, pp. 3–16, 2023, doi: 10.1177/10860266231151653.'
mla: 'Hahn, Rüdiger, et al. “Nonfinancial Reporting and Real Sustainable Change:
Relationship Status—It’s Complicated.” Organization & Environment,
vol. 36, no. 1, SAGE Publications, 2023, pp. 3–16, doi:10.1177/10860266231151653.'
short: R. Hahn, D. Reimsbach, C. Wickert, Organization & Environment 36
(2023) 3–16.
date_created: 2023-10-10T10:03:43Z
date_updated: 2023-12-06T14:50:17Z
department:
- _id: '186'
- _id: '815'
- _id: '681'
doi: 10.1177/10860266231151653
intvolume: ' 36'
issue: '1'
keyword:
- Organizational Behavior and Human Resource Management
- General Environmental Science
language:
- iso: eng
page: 3-16
publication: Organization & Environment
publication_identifier:
issn:
- 1086-0266
- 1552-7417
publication_status: published
publisher: SAGE Publications
status: public
title: 'Nonfinancial Reporting and Real Sustainable Change: Relationship Status—It’s
Complicated'
type: journal_article
user_id: '46138'
volume: 36
year: '2023'
...
---
_id: '47922'
abstract:
- lang: eng
text: This year, the 7th edition of the Dutch Accounting Research Conference
(DARC) was hosted by the Nijmegen School of Management at Radboud University on
Thursday, March 23. In total, over 75 accounting researchers from various Dutch
universities were welcomed by Frank Hartmann, chair of the accounting group and
head of the Business Economics department. During the day, four keynote speakers
presented their research and in a panel discussion, the current state of accounting
education was debated. In the evening, participants gathered to network over dinner.
This article presents a discussion of the theme of the conference, an outline
of the research papers and projects presented during the conference, and a summary
of the panel discussion on Accounting Education.
author:
- first_name: Karen
full_name: De Meyst, Karen
last_name: De Meyst
- first_name: Thomas
full_name: Niederkofler, Thomas
last_name: Niederkofler
- first_name: Daniel
full_name: Reimsbach, Daniel
id: '100169'
last_name: Reimsbach
citation:
ama: "De Meyst K, Niederkofler T, Reimsbach D. \uFEFFDARC 2023 at Radboud University:
Societal challenges in accounting research and education. Maandblad voor Accountancy
en Bedrijfseconomie. 2023;97(5/6):153-155. doi:10.5117/mab.97.107215"
apa: "De Meyst, K., Niederkofler, T., & Reimsbach, D. (2023). \uFEFFDARC 2023
at Radboud University: Societal challenges in accounting research and education.
Maandblad Voor Accountancy En Bedrijfseconomie, 97(5/6), 153–155.
https://doi.org/10.5117/mab.97.107215"
bibtex: "@article{De Meyst_Niederkofler_Reimsbach_2023, title={\uFEFFDARC 2023 at
Radboud University: Societal challenges in accounting research and education},
volume={97}, DOI={10.5117/mab.97.107215},
number={5/6}, journal={Maandblad voor Accountancy en Bedrijfseconomie}, publisher={Amsterdam
University Press}, author={De Meyst, Karen and Niederkofler, Thomas and Reimsbach,
Daniel}, year={2023}, pages={153–155} }"
chicago: "De Meyst, Karen, Thomas Niederkofler, and Daniel Reimsbach. “\uFEFFDARC
2023 at Radboud University: Societal Challenges in Accounting Research and Education.”
Maandblad Voor Accountancy En Bedrijfseconomie 97, no. 5/6 (2023): 153–55.
https://doi.org/10.5117/mab.97.107215."
ieee: "K. De Meyst, T. Niederkofler, and D. Reimsbach, “\uFEFFDARC 2023 at Radboud
University: Societal challenges in accounting research and education,” Maandblad
voor Accountancy en Bedrijfseconomie, vol. 97, no. 5/6, pp. 153–155, 2023,
doi: 10.5117/mab.97.107215."
mla: "De Meyst, Karen, et al. “\uFEFFDARC 2023 at Radboud University: Societal Challenges
in Accounting Research and Education.” Maandblad Voor Accountancy En Bedrijfseconomie,
vol. 97, no. 5/6, Amsterdam University Press, 2023, pp. 153–55, doi:10.5117/mab.97.107215."
short: K. De Meyst, T. Niederkofler, D. Reimsbach, Maandblad Voor Accountancy En
Bedrijfseconomie 97 (2023) 153–155.
date_created: 2023-10-10T10:04:17Z
date_updated: 2023-12-06T14:49:56Z
department:
- _id: '186'
- _id: '815'
- _id: '681'
doi: 10.5117/mab.97.107215
intvolume: ' 97'
issue: 5/6
keyword:
- General Arts and Humanities
language:
- iso: eng
page: 153-155
publication: Maandblad voor Accountancy en Bedrijfseconomie
publication_identifier:
issn:
- 2543-1684
- 0924-6304
publication_status: published
publisher: Amsterdam University Press
status: public
title: "\uFEFFDARC 2023 at Radboud University: Societal challenges in accounting research
and education"
type: journal_article
user_id: '46138'
volume: 97
year: '2023'
...
---
_id: '49549'
author:
- first_name: Simon
full_name: Harst, Simon
last_name: Harst
- first_name: 'Deborah '
full_name: 'Schanz, Deborah '
last_name: Schanz
- first_name: Felix
full_name: Siegel, Felix
last_name: Siegel
- first_name: Caren
full_name: Sureth-Sloane, Caren
id: '530'
last_name: Sureth-Sloane
orcid: ' 0000-0002-8183-5901'
citation:
ama: Harst S, Schanz D, Siegel F, Sureth-Sloane C. 2022 Global MNC Tax Complexity
Survey. TRR 266 Accounting for Transparency; 2023. doi:10.52569/VKAO7696
apa: Harst, S., Schanz, D., Siegel, F., & Sureth-Sloane, C. (2023). 2022
Global MNC Tax Complexity Survey. TRR 266 Accounting for Transparency. https://doi.org/10.52569/VKAO7696
bibtex: '@book{Harst_Schanz_Siegel_Sureth-Sloane_2023, title={2022 Global MNC Tax
Complexity Survey}, DOI={10.52569/VKAO7696},
publisher={TRR 266 Accounting for Transparency}, author={Harst, Simon and Schanz,
Deborah and Siegel, Felix and Sureth-Sloane, Caren}, year={2023} }'
chicago: Harst, Simon, Deborah Schanz, Felix Siegel, and Caren Sureth-Sloane. 2022
Global MNC Tax Complexity Survey. TRR 266 Accounting for Transparency, 2023.
https://doi.org/10.52569/VKAO7696.
ieee: S. Harst, D. Schanz, F. Siegel, and C. Sureth-Sloane, 2022 Global MNC Tax
Complexity Survey. TRR 266 Accounting for Transparency, 2023.
mla: Harst, Simon, et al. 2022 Global MNC Tax Complexity Survey. TRR 266
Accounting for Transparency, 2023, doi:10.52569/VKAO7696.
short: S. Harst, D. Schanz, F. Siegel, C. Sureth-Sloane, 2022 Global MNC Tax Complexity
Survey, TRR 266 Accounting for Transparency, 2023.
date_created: 2023-12-07T14:00:27Z
date_updated: 2023-12-07T14:00:33Z
department:
- _id: '187'
doi: 10.52569/VKAO7696
language:
- iso: eng
publisher: TRR 266 Accounting for Transparency
status: public
title: 2022 Global MNC Tax Complexity Survey
type: report
user_id: '74000'
year: '2023'
...
---
_id: '46044'
author:
- first_name: Henning
full_name: Giese, Henning
id: '92812'
last_name: Giese
- first_name: Svea
full_name: Holtmann, Svea
last_name: Holtmann
citation:
ama: Giese H, Holtmann S. Towards Green Driving - Income Taxes Incentives for
Plug-In Hybrids. Vol 118.; 2023. doi:10.2139/ssrn.4394968
apa: Giese, H., & Holtmann, S. (2023). Towards Green Driving - Income Taxes
Incentives for Plug-In Hybrids (Vol. 118). https://doi.org/10.2139/ssrn.4394968
bibtex: '@book{Giese_Holtmann_2023, series={TRR 266 Working Paper Series}, title={Towards
Green Driving - Income Taxes Incentives for Plug-In Hybrids}, volume={118}, DOI={10.2139/ssrn.4394968}, author={Giese,
Henning and Holtmann, Svea}, year={2023}, collection={TRR 266 Working Paper Series}
}'
chicago: Giese, Henning, and Svea Holtmann. Towards Green Driving - Income Taxes
Incentives for Plug-In Hybrids. Vol. 118. TRR 266 Working Paper Series, 2023.
https://doi.org/10.2139/ssrn.4394968.
ieee: H. Giese and S. Holtmann, Towards Green Driving - Income Taxes Incentives
for Plug-In Hybrids, vol. 118. 2023.
mla: Giese, Henning, and Svea Holtmann. Towards Green Driving - Income Taxes
Incentives for Plug-In Hybrids. 2023, doi:10.2139/ssrn.4394968.
short: H. Giese, S. Holtmann, Towards Green Driving - Income Taxes Incentives for
Plug-In Hybrids, 2023.
date_created: 2023-07-13T11:41:54Z
date_updated: 2023-12-19T13:10:23Z
department:
- _id: '187'
doi: 10.2139/ssrn.4394968
intvolume: ' 118'
language:
- iso: eng
series_title: TRR 266 Working Paper Series
status: public
title: Towards Green Driving - Income Taxes Incentives for Plug-In Hybrids
type: working_paper
user_id: '74000'
volume: 118
year: '2023'
...
---
_id: '49873'
author:
- first_name: Henning
full_name: Giese, Henning
id: '92812'
last_name: Giese
- first_name: Reinald
full_name: Koch, Reinald
last_name: Koch
- first_name: Caren
full_name: Sureth-Sloane, Caren
id: '530'
last_name: Sureth-Sloane
orcid: ' 0000-0002-8183-5901'
citation:
ama: Giese H, Koch R, Sureth-Sloane C. Tax Complexity, Tax Department Structure,
and Tax Risk.; 2023.
apa: Giese, H., Koch, R., & Sureth-Sloane, C. (2023). Tax Complexity, Tax
Department Structure, and Tax Risk.
bibtex: '@book{Giese_Koch_Sureth-Sloane_2023, title={Tax Complexity, Tax Department
Structure, and Tax Risk}, author={Giese, Henning and Koch, Reinald and Sureth-Sloane,
Caren}, year={2023} }'
chicago: Giese, Henning, Reinald Koch, and Caren Sureth-Sloane. Tax Complexity,
Tax Department Structure, and Tax Risk, 2023.
ieee: H. Giese, R. Koch, and C. Sureth-Sloane, Tax Complexity, Tax Department
Structure, and Tax Risk. 2023.
mla: Giese, Henning, et al. Tax Complexity, Tax Department Structure, and Tax
Risk. 2023.
short: H. Giese, R. Koch, C. Sureth-Sloane, Tax Complexity, Tax Department Structure,
and Tax Risk, 2023.
date_created: 2023-12-19T13:22:08Z
date_updated: 2023-12-19T13:22:13Z
department:
- _id: '187'
language:
- iso: eng
status: public
title: Tax Complexity, Tax Department Structure, and Tax Risk
type: working_paper
user_id: '74000'
year: '2023'
...
---
_id: '44591'
abstract:
- lang: eng
text: AbstractThe ability of various policy activities
to reduce the reproduction rate of the COVID-19 disease is widely discussed. Using
a stringency index that comprises a variety of lockdown levels, such as school
and workplace closures, we analyze the effectiveness of government restrictions.
At the same time, we investigate the capacity of a range of lockdown measures
to lower the reproduction rate by considering vaccination rates and testing strategies.
By including all three components in an SIR (Susceptible, Infected, Recovery)
model, we show that a general and comprehensive test strategy is instrumental
in reducing the spread of COVID-19. The empirical study demonstrates that testing
and isolation represent a highly effective and preferable approach towards overcoming
the pandemic, in particular until vaccination rates have risen to the point of
herd immunity.
author:
- first_name: Marlon
full_name: Fritz, Marlon
last_name: Fritz
- first_name: Thomas
full_name: Gries, Thomas
last_name: Gries
- first_name: Margarete
full_name: Redlin, Margarete
last_name: Redlin
citation:
ama: Fritz M, Gries T, Redlin M. The effectiveness of vaccination, testing, and
lockdown strategies against COVID-19. International Journal of Health Economics
and Management. Published online 2023. doi:10.1007/s10754-023-09352-1
apa: Fritz, M., Gries, T., & Redlin, M. (2023). The effectiveness of vaccination,
testing, and lockdown strategies against COVID-19. International Journal of
Health Economics and Management. https://doi.org/10.1007/s10754-023-09352-1
bibtex: '@article{Fritz_Gries_Redlin_2023, title={The effectiveness of vaccination,
testing, and lockdown strategies against COVID-19}, DOI={10.1007/s10754-023-09352-1},
journal={International Journal of Health Economics and Management}, publisher={Springer
Science and Business Media LLC}, author={Fritz, Marlon and Gries, Thomas and Redlin,
Margarete}, year={2023} }'
chicago: Fritz, Marlon, Thomas Gries, and Margarete Redlin. “The Effectiveness of
Vaccination, Testing, and Lockdown Strategies against COVID-19.” International
Journal of Health Economics and Management, 2023. https://doi.org/10.1007/s10754-023-09352-1.
ieee: 'M. Fritz, T. Gries, and M. Redlin, “The effectiveness of vaccination, testing,
and lockdown strategies against COVID-19,” International Journal of Health
Economics and Management, 2023, doi: 10.1007/s10754-023-09352-1.'
mla: Fritz, Marlon, et al. “The Effectiveness of Vaccination, Testing, and Lockdown
Strategies against COVID-19.” International Journal of Health Economics and
Management, Springer Science and Business Media LLC, 2023, doi:10.1007/s10754-023-09352-1.
short: M. Fritz, T. Gries, M. Redlin, International Journal of Health Economics
and Management (2023).
date_created: 2023-05-07T15:29:12Z
date_updated: 2023-12-21T12:34:58Z
department:
- _id: '200'
- _id: '202'
doi: 10.1007/s10754-023-09352-1
keyword:
- Health Policy
- Economics
- Econometrics and Finance (miscellaneous)
language:
- iso: eng
publication: International Journal of Health Economics and Management
publication_identifier:
issn:
- 2199-9023
- 2199-9031
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: The effectiveness of vaccination, testing, and lockdown strategies against
COVID-19
type: journal_article
user_id: '186'
year: '2023'
...
---
_id: '50283'
alternative_title:
- Vortrag auf dem Trilateralen Doktorand:innenseminar
author:
- first_name: Desiree
full_name: Daniel-Söltenfuß, Desiree
id: '10186'
last_name: Daniel-Söltenfuß
citation:
ama: 'Daniel-Söltenfuß D. „Wir fahren jetzt nicht mit’m Mercedes vor, wenn man sich
nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen von Transfer in Theorie
und Praxis der Beruflichen Bildung und ihre Implikationen. In: ; 2023.'
apa: Daniel-Söltenfuß, D. (2023). „Wir fahren jetzt nicht mit’m Mercedes vor,
wenn man sich nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen von
Transfer in Theorie und Praxis der Beruflichen Bildung und ihre Implikationen.
Trilaterales Doktorand:innenseminar , Universität zu Köln.
bibtex: '@inproceedings{Daniel-Söltenfuß_2023, title={„Wir fahren jetzt nicht mit’m
Mercedes vor, wenn man sich nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen
von Transfer in Theorie und Praxis der Beruflichen Bildung und ihre Implikationen},
author={Daniel-Söltenfuß, Desiree}, year={2023} }'
chicago: Daniel-Söltenfuß, Desiree. “„Wir fahren jetzt nicht mit’m Mercedes vor,
wenn man sich nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen von
Transfer in Theorie und Praxis der Beruflichen Bildung und ihre Implikationen,”
2023.
ieee: D. Daniel-Söltenfuß, “„Wir fahren jetzt nicht mit’m Mercedes vor, wenn man
sich nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen von Transfer
in Theorie und Praxis der Beruflichen Bildung und ihre Implikationen,” presented
at the Trilaterales Doktorand:innenseminar , Universität zu Köln, 2023.
mla: Daniel-Söltenfuß, Desiree. „Wir fahren jetzt nicht mit’m Mercedes vor, wenn
man sich nachher eigentlich nur ‘n Polo leisten kann.“ Vorstellungen von Transfer
in Theorie und Praxis der Beruflichen Bildung und ihre Implikationen. 2023.
short: 'D. Daniel-Söltenfuß, in: 2023.'
conference:
end_date: 2023-10-27
location: Universität zu Köln
name: 'Trilaterales Doktorand:innenseminar '
start_date: 2023-10-26
date_created: 2024-01-08T08:40:39Z
date_updated: 2024-01-08T08:41:02Z
department:
- _id: '208'
language:
- iso: ger
status: public
title: „Wir fahren jetzt nicht mit’m Mercedes vor, wenn man sich nachher eigentlich
nur ‘n Polo leisten kann.“ Vorstellungen von Transfer in Theorie und Praxis der
Beruflichen Bildung und ihre Implikationen
type: conference
user_id: '10186'
year: '2023'
...
---
_id: '50281'
alternative_title:
- Vortrag im Rahmen der Hochschultage Berufliche Bildung
author:
- first_name: Desiree
full_name: Daniel-Söltenfuß, Desiree
id: '10186'
last_name: Daniel-Söltenfuß
- first_name: Marie-Ann
full_name: Kückmann, Marie-Ann
id: '25394'
last_name: Kückmann
citation:
ama: 'Daniel-Söltenfuß D, Kückmann M-A. Zum Verständnis von Innovation und Transfer
in einer vernetzten Berufsbildungspraxis. Ergebnisse einer übergreifenden Interviewstudie.
In: ; 2023.'
apa: Daniel-Söltenfuß, D., & Kückmann, M.-A. (2023). Zum Verständnis von
Innovation und Transfer in einer vernetzten Berufsbildungspraxis. Ergebnisse einer
übergreifenden Interviewstudie. Hochschultage Berufliche Bildung, Universität
Bamberg.
bibtex: '@inproceedings{Daniel-Söltenfuß_Kückmann_2023, title={Zum Verständnis von
Innovation und Transfer in einer vernetzten Berufsbildungspraxis. Ergebnisse einer
übergreifenden Interviewstudie}, author={Daniel-Söltenfuß, Desiree and Kückmann,
Marie-Ann}, year={2023} }'
chicago: Daniel-Söltenfuß, Desiree, and Marie-Ann Kückmann. “Zum Verständnis von
Innovation Und Transfer in Einer Vernetzten Berufsbildungspraxis. Ergebnisse Einer
Übergreifenden Interviewstudie,” 2023.
ieee: D. Daniel-Söltenfuß and M.-A. Kückmann, “Zum Verständnis von Innovation und
Transfer in einer vernetzten Berufsbildungspraxis. Ergebnisse einer übergreifenden
Interviewstudie,” presented at the Hochschultage Berufliche Bildung, Universität
Bamberg, 2023.
mla: Daniel-Söltenfuß, Desiree, and Marie-Ann Kückmann. Zum Verständnis von Innovation
Und Transfer in Einer Vernetzten Berufsbildungspraxis. Ergebnisse Einer Übergreifenden
Interviewstudie. 2023.
short: 'D. Daniel-Söltenfuß, M.-A. Kückmann, in: 2023.'
conference:
end_date: 2023-03-22
location: Universität Bamberg
name: Hochschultage Berufliche Bildung
start_date: 2023-03-21
date_created: 2024-01-08T08:31:54Z
date_updated: 2024-01-08T08:41:08Z
department:
- _id: '208'
language:
- iso: eng
status: public
title: Zum Verständnis von Innovation und Transfer in einer vernetzten Berufsbildungspraxis.
Ergebnisse einer übergreifenden Interviewstudie
type: conference
user_id: '10186'
year: '2023'
...
---
_id: '50282'
alternative_title:
- Vortrag im Rahmen der Jahrestagung der Sektion BWP
author:
- first_name: Desiree
full_name: Daniel-Söltenfuß, Desiree
id: '10186'
last_name: Daniel-Söltenfuß
- first_name: Marie-Ann
full_name: Kückmann, Marie-Ann
id: '25394'
last_name: Kückmann
citation:
ama: 'Daniel-Söltenfuß D, Kückmann M-A. „Go with the flow?!“ Einblicke in Forschungsansatz
und erste Ergebnisse des Begleitforschungsprojekts ITiB. In: ; 2023.'
apa: Daniel-Söltenfuß, D., & Kückmann, M.-A. (2023). „Go with the flow?!“
Einblicke in Forschungsansatz und erste Ergebnisse des Begleitforschungsprojekts
ITiB. Jahrestagung der Sektion BWP, Europa-Universität Flensburg.
bibtex: '@inproceedings{Daniel-Söltenfuß_Kückmann_2023, title={„Go with the flow?!“
Einblicke in Forschungsansatz und erste Ergebnisse des Begleitforschungsprojekts
ITiB}, author={Daniel-Söltenfuß, Desiree and Kückmann, Marie-Ann}, year={2023}
}'
chicago: Daniel-Söltenfuß, Desiree, and Marie-Ann Kückmann. “„Go with the flow?!“
Einblicke in Forschungsansatz und erste Ergebnisse des Begleitforschungsprojekts
ITiB,” 2023.
ieee: D. Daniel-Söltenfuß and M.-A. Kückmann, “„Go with the flow?!“ Einblicke in
Forschungsansatz und erste Ergebnisse des Begleitforschungsprojekts ITiB,” presented
at the Jahrestagung der Sektion BWP, Europa-Universität Flensburg, 2023.
mla: Daniel-Söltenfuß, Desiree, and Marie-Ann Kückmann. „Go with the flow?!“
Einblicke in Forschungsansatz und erste Ergebnisse des Begleitforschungsprojekts
ITiB. 2023.
short: 'D. Daniel-Söltenfuß, M.-A. Kückmann, in: 2023.'
conference:
end_date: 2023-09-07
location: Europa-Universität Flensburg
name: Jahrestagung der Sektion BWP
start_date: 2023-09-05
date_created: 2024-01-08T08:36:09Z
date_updated: 2024-01-08T08:41:05Z
department:
- _id: '208'
language:
- iso: ger
status: public
title: „Go with the flow?!“ Einblicke in Forschungsansatz und erste Ergebnisse des
Begleitforschungsprojekts ITiB
type: conference
user_id: '10186'
year: '2023'
...
---
_id: '37312'
abstract:
- lang: eng
text: Optimal decision making requires appropriate evaluation of advice. Recent
literature reports that algorithm aversion reduces the effectiveness of predictive
algorithms. However, it remains unclear how people recover from bad advice given
by an otherwise good advisor. Previous work has focused on algorithm aversion
at a single time point. We extend this work by examining successive decisions
in a time series forecasting task using an online between-subjects experiment
(N = 87). Our empirical results do not confirm algorithm aversion immediately
after bad advice. The estimated effect suggests an increasing algorithm appreciation
over time. Our work extends the current knowledge on algorithm aversion with insights
into how weight on advice is adjusted over consecutive tasks. Since most forecasting
tasks are not one-off decisions, this also has implications for practitioners.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
- first_name: Kevin
full_name: Bösch, Kevin
last_name: Bösch
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Leffrang D, Bösch K, Müller O. Do People Recover from Algorithm Aversion?
An Experimental Study of Algorithm Aversion over Time. In: Hawaii International
Conference on System Sciences. ; 2023.'
apa: Leffrang, D., Bösch, K., & Müller, O. (2023). Do People Recover from Algorithm
Aversion? An Experimental Study of Algorithm Aversion over Time. Hawaii International
Conference on System Sciences. Hawaii International Conference on System Sciences.
bibtex: '@inproceedings{Leffrang_Bösch_Müller_2023, title={Do People Recover from
Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time}, booktitle={Hawaii
International Conference on System Sciences}, author={Leffrang, Dirk and Bösch,
Kevin and Müller, Oliver}, year={2023} }'
chicago: Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from
Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In
Hawaii International Conference on System Sciences, 2023.
ieee: D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion?
An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii
International Conference on System Sciences, 2023.
mla: Leffrang, Dirk, et al. “Do People Recover from Algorithm Aversion? An Experimental
Study of Algorithm Aversion over Time.” Hawaii International Conference on
System Sciences, 2023.
short: 'D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on
System Sciences, 2023.'
conference:
name: Hawaii International Conference on System Sciences
date_created: 2023-01-18T10:53:51Z
date_updated: 2024-01-10T09:52:59Z
department:
- _id: '196'
keyword:
- Algorithm aversion
- Time series
- Decision making
- Advice taking
- Forecasting
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/items/62b58ddc-895c-48c3-8194-522a1758a26f
oa: '1'
publication: Hawaii International Conference on System Sciences
status: public
title: Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm
Aversion over Time
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50121'
abstract:
- lang: eng
text: Many researchers and practitioners see artificial intelligence as a game changer
compared to classical statistical models. However, some software providers engage
in “AI washing”, relabeling solutions that use simple statistical models as AI
systems. By contrast, research on algorithm aversion unsystematically varied the
labels for advisors and treated labels such as "artificial intelligence" and "statistical
model" synonymously. This study investigates the effect of individual labels on
users' actual advice utilization behavior. Through two incentivized online within-subjects
experiments on regression tasks, we find that labeling human advisors with labels
that suggest higher expertise leads to an increase in advice-taking, even though
the content of the advice remains the same. In contrast, our results do not suggest
such an expert effect for advice-taking from algorithms, despite differences in
self-reported perception. These findings challenge the effectiveness of framing
intelligent systems as AI-based systems and have important implications for both
research and practice.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
citation:
ama: 'Leffrang D. AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization. In: International Conference on Information Systems. ; 2023.'
apa: 'Leffrang, D. (2023). AI Washing: The Framing Effect of Labels on Algorithmic
Advice Utilization. International Conference on Information Systems, 10.'
bibtex: '@inproceedings{Leffrang_2023, title={AI Washing: The Framing Effect of
Labels on Algorithmic Advice Utilization}, number={10}, booktitle={International
Conference on Information Systems}, author={Leffrang, Dirk}, year={2023} }'
chicago: 'Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic
Advice Utilization.” In International Conference on Information Systems,
2023.'
ieee: 'D. Leffrang, “AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization,” in International Conference on Information Systems, Hyderabad,
India, 2023, no. 10.'
mla: 'Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization.” International Conference on Information Systems, no. 10,
2023.'
short: 'D. Leffrang, in: International Conference on Information Systems, 2023.'
conference:
location: Hyderabad, India
name: International Conference on Information Systems (ICIS)
date_created: 2024-01-03T09:54:00Z
date_updated: 2024-01-10T09:53:41Z
department:
- _id: '196'
issue: '10'
keyword:
- Artificial Intelligence
- Algorithm Appreciation
- Framing
- Advice-taking
- Expertise
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/icis2023/aiinbus/aiinbus/10
publication: International Conference on Information Systems
status: public
title: 'AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization'
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50118'
abstract:
- lang: eng
text: Despite the widespread use of machine learning algorithms, their effectiveness
is limited by a phenomenon known as algorithm aversion. Recent research concluded
that unobserved variables can cause algorithm aversion. However, the impact of
an unobserved variable on algorithm aversion remains unclear. Previous studies
focused on situations where humans had more variables available than algorithms.
We extend this research by conducting an online experiment with 94 participants,
systematically varying the number of observable variables to the advisor and the
advisor type. Surprisingly, our results did not confirm that an unobserved variable
had a negative effect on advice-taking. Instead, we found a positive impact in
an algorithm appreciation scenario. This study provides new insights into the
paradoxical behavior in which people weigh advice more despite having fewer variables,
as they correct for the advisor's errors. Practitioners should consider this behavior
when designing algorithms and account for user correction behavior.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
citation:
ama: 'Leffrang D. The Broken Leg of Algorithm Appreciation: An Experimental Study
on the Effect of Unobserved Variables on Advice Utilization. In: Wirtschaftsinformatik
Conference. ; 2023.'
apa: 'Leffrang, D. (2023). The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization. Wirtschaftsinformatik
Conference, 19.'
bibtex: '@inproceedings{Leffrang_2023, title={The Broken Leg of Algorithm Appreciation:
An Experimental Study on the Effect of Unobserved Variables on Advice Utilization},
number={19}, booktitle={Wirtschaftsinformatik Conference}, author={Leffrang, Dirk},
year={2023} }'
chicago: 'Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik
Conference, 2023.'
ieee: 'D. Leffrang, “The Broken Leg of Algorithm Appreciation: An Experimental Study
on the Effect of Unobserved Variables on Advice Utilization,” in Wirtschaftsinformatik
Conference, Paderborn, 2023, no. 19.'
mla: 'Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization.” Wirtschaftsinformatik
Conference, no. 19, 2023.'
short: 'D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.'
conference:
location: Paderborn
name: Wirtschaftsinformatik
date_created: 2024-01-03T09:50:06Z
date_updated: 2024-01-10T09:53:24Z
department:
- _id: '196'
issue: '19'
keyword:
- Algorithm aversion
- Data
- Decision-making
- Advice-taking
- Human-Computer Interaction
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/wi2023/19 '
publication: Wirtschaftsinformatik Conference
status: public
title: 'The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect
of Unobserved Variables on Advice Utilization'
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50431'
abstract:
- lang: eng
text: 'Recommender systems now span the entire customer journey. Amid the multitude
of diversified experi- ences, immersing in cultural events has become a key aspect
of tourism. Cultural events, however, suffer from fleeting lifecycles, evade exact
replication, and invariably lie in the future. In addition, their low standardization
makes harnessing historical data regarding event content or past patron evaluations
intricate. The distinctive traits of events thereby compound the challenge of
the cold-start dilemma in event recommenders. Content-based recommendations stand
as a viable avenue to alleviate this issue, functioning even in scenarios where
item-user information is scarce. Still, the effectiveness of content- based recommendations
often hinges on the quality of the data representation they build upon. In this
study, we explore an array of cutting-edge uni- and multimodal vision and language
foundation models (VL-FMs) for this purpose. Next, we derive content-based recommendations
through a straightforward clustering approach that groups akin events together,
and evaluate the efficacy of the models through a series of online user experiments
across three dimensions: similarity-based evaluation, comparison-based evaluation,
and clustering assignment evaluation. Our experiments generated four major findings.
First, we found that all VL-FMs consistently outperformed a naive baseline of
recommending randomly drawn events. Second, unimodal text-based embeddings were
surprisingly on par or in some cases even superior to multimodal embeddings. Third,
multimodal embeddings yielded arguably more fine-grained and diverse clusters
in comparison to their unimodal counterparts. Finally, we could confirm that cross
event interest is indeed reliant on the perceived similarity of events, resonating
with the notion of similarity in content-based recommendations. All in all, we
believe that leveraging the potential of contemporary FMs for content-based event
recommendations would help address the cold-start problem and propel this field
of research forward in new and exciting ways.'
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Florian
full_name: Freese, Florian
last_name: Freese
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Halimeh H, Freese F, Müller O. Event Recommendations through the Lens of Vision
and Language Foundation Models. In: Workshop on Recommenders in Tourism, Co-Located
with the 17th ACM Conference on Recommender Systems. ; 2023.'
apa: Halimeh, H., Freese, F., & Müller, O. (2023). Event Recommendations through
the Lens of Vision and Language Foundation Models. Workshop on Recommenders
in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems.
Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference on
Recommender Systems.
bibtex: '@inproceedings{Halimeh_Freese_Müller_2023, title={Event Recommendations
through the Lens of Vision and Language Foundation Models}, booktitle={Workshop
on Recommenders in Tourism, co-located with the 17th ACM Conference on Recommender
Systems}, author={Halimeh, Haya and Freese, Florian and Müller, Oliver}, year={2023}
}'
chicago: Halimeh, Haya, Florian Freese, and Oliver Müller. “Event Recommendations
through the Lens of Vision and Language Foundation Models.” In Workshop on
Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender
Systems, 2023.
ieee: H. Halimeh, F. Freese, and O. Müller, “Event Recommendations through the Lens
of Vision and Language Foundation Models,” presented at the Workshop on Recommenders
in Tourism, co-located with the 17th ACM Conference on Recommender Systems, 2023.
mla: Halimeh, Haya, et al. “Event Recommendations through the Lens of Vision and
Language Foundation Models.” Workshop on Recommenders in Tourism, Co-Located
with the 17th ACM Conference on Recommender Systems, 2023.
short: 'H. Halimeh, F. Freese, O. Müller, in: Workshop on Recommenders in Tourism,
Co-Located with the 17th ACM Conference on Recommender Systems, 2023.'
conference:
end_date: 2023-09-22
name: Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference
on Recommender Systems
start_date: 2023-09-18
date_created: 2024-01-10T14:20:12Z
date_updated: 2024-01-10T16:10:04Z
department:
- _id: '195'
- _id: '196'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=zBlrdP4AAAAJ&citation_for_view=zBlrdP4AAAAJ:UeHWp8X0CEIC
oa: '1'
publication: Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference
on Recommender Systems
status: public
title: Event Recommendations through the Lens of Vision and Language Foundation Models
type: conference
user_id: '87673'
year: '2023'
...
---
_id: '45270'
abstract:
- lang: eng
text: Clinical depression is a serious mental disorder that poses challenges for
both personal and public health. Millions of people struggle with depression each
year, but for many, the disorder goes undiagnosed or untreated. Over the last
decade, early depression detection on social media emerged as an interdisciplinary
research field. However, there is still a gap in detecting hesitant, depression-susceptible
individuals with minimal direct depressive signals at an early stage. We, therefore,
take up this open point and leverage posts from Reddit to fill the addressed gap.
Our results demonstrate the potential of contemporary Transformer architectures
in yielding promising predictive capabilities for mental health research. Furthermore,
we investigate the model’s interpretability using a surrogate and a topic modeling
approach. Based on our findings, we consider this work as a further step towards
developing a better understanding of mental eHealth and hope that our results
can support the development of future technologies.
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Matthew
full_name: Caron, Matthew
id: '60721'
last_name: Caron
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.
In: Hawaii International Conference on System Sciences. ; 2023.'
apa: 'Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features. Hawaii International Conference on System Sciences. Hawaii International
Conference on System Sciences.'
bibtex: '@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh,
Haya and Caron, Matthew and Müller, Oliver}, year={2023} }'
chicago: 'Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features.” In Hawaii International Conference on System Sciences, 2023.'
ieee: 'H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,”
presented at the Hawaii International Conference on System Sciences, 2023.'
mla: 'Halimeh, Haya, et al. “Early Depression Detection with Transformer Models:
Analyzing the Relationship between Linguistic and Psychology-Based Features.”
Hawaii International Conference on System Sciences, 2023.'
short: 'H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on
System Sciences, 2023.'
conference:
end_date: 2023-01-06
name: Hawaii International Conference on System Sciences
start_date: 2023-01-03
date_created: 2023-05-25T10:25:21Z
date_updated: 2024-01-10T15:16:37Z
department:
- _id: '195'
- _id: '196'
keyword:
- Social Media and Healthcare Technology
- early depression detection
- liwc
- mental health
- transfer learning
- transformer architectures
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d
oa: '1'
publication: Hawaii International Conference on System Sciences
publication_status: published
related_material:
link:
- relation: confirmation
url: https://hdl.handle.net/10125/103046
status: public
title: 'Early Depression Detection with Transformer Models: Analyzing the Relationship
between Linguistic and Psychology-Based Features'
type: conference
user_id: '60721'
year: '2023'
...