Algorithmic Fairness in Shift Scheduling – Assessing the Fairness Perceptions of Healthcare Workers

Manuel Bieri and Christian Matt
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Manuel Bieri: University of Bern

No 7ghya_v1, OSF Preprints from Center for Open Science

Abstract: Fairness in shift scheduling is essential for workers because it substantially affects their well-being and private lives. Since creating fair shift schedules is difficult due to numerous constraints, algorithmic support is increasingly used. However, the perceptional basis for fairness from the workers’ perspective is still missing for optimizing algorithmic shift scheduling systems. Drawing from organizational justice theory (OJT), we conducted 19 semi-structured interviews with healthcare workers from three Swiss hospitals. The iterative thematic analysis refines established fairness dimensions and provides a comprehensive, context-specific, multi-level understanding of how healthcare workers perceive fairness in their organizational and operational framework. We extend the literature by providing application-specific norms and important determinants of fair shift scheduling procedures in healthcare facilities, which can be the basis for fair algorithmic scheduling systems and support healthcare facilities and software developers to evaluate and optimize their current shift scheduling approaches.

Date: 2025-05-21
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:7ghya_v1

DOI: 10.31219/osf.io/7ghya_v1

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