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| Verfasst von: | Chacón, Álvaro [VerfasserIn]  |
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| | Kausel, Edgar E. [VerfasserIn] |
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| | Reyes, Tomas [VerfasserIn] |
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| | Trautmann, Stefan T. [VerfasserIn] |
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| Titel: | Preventing algorithm aversion |
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| Titelzusatz: | people are willing to use algorithms with a learning label |
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| Verf.angabe: | Alvaro Chacon, Edgar E. Kausel, Tomas Reyes, Stefan Trautmann |
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| E-Jahr: | 2025 |
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| Jahr: | January 2025 |
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| Umfang: | 15 S. |
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| Illustrationen: | Diagramme |
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| Fussnoten: | Online veröffentlicht: 15. November 2024 ; Gesehen am 03.12.2024 |
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| Titel Quelle: | Enthalten in: Journal of business research |
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| Ort Quelle: | New York, NY : Elsevier, 1973 |
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| Jahr Quelle: | 2025 |
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| Band/Heft Quelle: | 187(2025) vom: Jan., Artikel-ID 115032, Seite 1-15 |
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| ISSN Quelle: | 0148-2963 |
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| Abstract: | As algorithms often outperform humans in prediction, algorithm aversion is economically harmful. To enhance algorithm utilization, we suggest emphasizing their learning capabilities, i.e., their increasing predictive precision over time, through the explicit addition of a “learning” label. We conducted five incentivized studies in which 1,167 participants may prefer algorithms or take up algorithmic advice in a financial or healthcare related task. Our results suggest that people use algorithms with a learning label to a greater extent than algorithms without such a label. As the accuracy of advice improves beyond a threshold, the use of algorithms with a learning label increases more than algorithms without a label. Thus, we show that a salient learning attribute can positively affect algorithm use in both the financial and health domain. |
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| DOI: | doi:10.1016/j.jbusres.2024.115032 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://www.sciencedirect.com/science/article/pii/S0148296324005368 |
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| | Volltext: https://doi.org/10.1016/j.jbusres.2024.115032 |
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| | Verlag: https://www.sciencedirect.com/science/article/pii/S0148296324005368/pdfft?md5=fff2f4fbb39f86315697c66c17170f7f&pid=1-s2. ... |
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| | DOI: https://doi.org/10.1016/j.jbusres.2024.115032 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Advice |
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| | Algorithm appreciation |
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| | Algorithm aversion |
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| | Algorithm use |
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| | Learning algorithms |
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| | Advice |
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| | Algorithm appreciation |
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| | Algorithm aversion |
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| | Algorithm use |
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| | Learning algorithms |
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| Form-SW: | Aufsatz in Zeitschrift |
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| K10plus-PPN: | 191069083X |
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| Verknüpfungen: | → Zeitschrift |
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Preventing algorithm aversion / Chacón, Álvaro [VerfasserIn]; January 2025 (Online-Ressource)
