0 papers in the Algorithmic Fairness In Recruiting research area.
Discover 1 peer-reviewed study in Algorithmic Fairness In Recruiting (2024). Explore research findings powered by Prolific's diverse participant panel.
This page lists 1 peer-reviewed paper in the research area of Algorithmic Fairness In Recruiting in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
Authors: J Ochmann, L Michels, V Tiefenbeck
Year: 2024
Published in: Information Systems ..., 2024 - Wiley Online Library
Institution: University of St. Gallen, Technische Universität München, ETH Zürich
Research Area: Algorithmic Fairness in Recruiting, Human-Algorithm Interaction, Transparency, Anthropomorphism.
Discipline: Information Systems
The study explores how transparency and anthropomorphism influence applicants' perceptions of algorithmic fairness in recruiting, revealing justice dimensions that shape these perceptions.
Methods: An online application scenario with eight experimental groups analyzing fairness perceptions using a stimulus-organism-response framework and organizational justice theory.
Key Findings: Perceptions of algorithmic fairness based on justice dimensions (procedural, distributive, interpersonal, and informational justice) and the impact of transparency and anthropomorphism interventions.
DOI: https://doi.org/10.1111/isj.12482
Citations: 65
Sample Size: 801
Related Disciplines: Information Systems
Related Institutions: University of St. Gallen, Technische Universität München, ETH Zürich
Researchers: J Ochmann, L Michels, V Tiefenbeck
Publication Years: 2024
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