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Die Bereitschaft zur Nutzung von Algorithmen variiert mit der sozialen Information über die schwache vs. starke Akzeptanz: Eine experimentelle Studie zur Algorithm Aversion

Jan René Judek

sofia Diskussionsbeiträge 2022, No. 5 https://doi.org/10.46850/sofia.9783947850037

Der Prozess der Entscheidungsfindung wird in verschiedensten Kontexten immer häufiger von Algorithmen unterstützt. Das Phänomen der Algorithm Aversion steht der Entfaltung des technologischen Potenzials, das Algorithmen mit sich bringen, jedoch entgegen. Wirtschaftsakteure neigen dazu, ihre Entscheidungen an den Entscheidungen anderer Wirtschaftsakteure auszurichten. Daher wird in einem experimentellen Ansatz die Bereitschaft zur Nutzung eines Algorithmus bei der Abgabe von Aktienkursprognosen untersucht, wenn Informationen über die vorherige Nutzungsrate eines Algorithmus bereitgestellt werden. Es zeigt sich, dass Entscheidungsträger häufiger einen Algorithmus verwenden, wenn die Mehrheit der zuvor entscheidenden Wirtschaftsakteure diesen ebenfalls verwendet hat. Die Bereitschaft, einen Algorithmus zu verwenden, variiert mit der sozialen Information über die vorherige schwache beziehungsweise starke Akzeptanz. Zudem zeigt die Affinität zur Technikinteraktion der Wirtschaftsakteure einen Einfluss auf das Entscheidungsverhalten.

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