Fairness in Algorithmic Management: How Practices Promote Fairness and Redress Unfairness on Digital Labor Platforms

Laura Schulze, Manuel Trenz, Zhao Cai, Chee-Wee Tan

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Algorithmic management (AM) is employed on digital labor platforms (DLPs) to efficiently manage interactions between workers and clients. However, AM comes with ethical challenges, such as unfairness. Identifying best practices that counter these challenges promises to deliver actionable solutions. Therefore, we identify AM practices that workers deem particularly fair. We conduct seven online focus groups with a diverse set of platform workers and analyze the data through an organizational justice lens. Our findings reveal that AM practices can promote fairness by providing information, empowering workers, or autonomously executing tasks in their interest. Alternatively, in the case unfairness occurred, AM practices can redress unfairness. These practices include delegating dispute resolution to the involved actors, investigating evidence, and autonomously determining restorative consequences. Our findings have theoretical implications for fairness in algorithms, AM, and organizational justice literature. They might also be adopted in practice to improve workers’ conditions on DLPs.
Original languageEnglish
Title of host publicationProceedings of the 56th Hawaii International Conference on System Sciences
EditorsTung X. Bui
Number of pages10
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2023
ISBN (Electronic)9780998133164
Publication statusPublished - 2023
EventThe 56th Hawaii International Conference on System Sciences. HICSS 2023 - Lahaina, United States
Duration: 3 Jan 20236 Jan 2023
Conference number: 56


ConferenceThe 56th Hawaii International Conference on System Sciences. HICSS 2023
Country/TerritoryUnited States
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences


  • Algorithmic management
  • Fairness
  • Organizational justice
  • Digital labor platforms

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