--- _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' ...