The Algorithm and the Crowd: A Design Science Research Approach to the Democratization of Algorithmic Management

Algorithmic Management (AM) is often criticized for its opacity and centralized decision-making power, thereby limiting workers’ autonomy and participation. Building on emerging work in participatory AM and drawing on established literature on democratization mechanisms, we adopt a Design Science Research approach to develop a prototype democratized AM system for workforce scheduling. Our artifact works to ensure that workers’ voices are meaningfully represented in algorithmic decision-making by building upon three democratization mechanisms: preference, feedback, and transparency. The resulting prototype is designed based on requirements derived from those democratization mechanisms and receives high worker satisfaction in a qualitative evaluation. We extend existing research by embedding democratization principles into a functioning AM system and derive design requirements that can inform the development of future AM systems. In doing so, we demonstrate how democratization can be effectively embedded in algorithmic systems in ways that are both effective and valued by workers.

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Publication Details

Journal
TUbilio (Technical University of Darmstadt)
Published
2025-12-23
Primary Topic
Digital Economy and Work Transformation
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article
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article

The Algorithm and the Crowd: A Design Science Research Approach to the Democratization of Algorithmic Management

Maria Doerr, Armin Alizadeh, Alexander Benlian, Marcus Krüeger et al.
TUbilio (Technical University of Darmstadt)
Digital Economy and Work Transformation
article

The Algorithm and the Crowd: A Design Science Research Approach to the Democratization of Algorithmic Management

Maria Doerr, Armin Alizadeh, Alexander Benlian, Marcus Krüeger, Furkan Oezdemir
article en

Abstract

Algorithmic Management (AM) is often criticized for its opacity and centralized decision-making power, thereby limiting workers’ autonomy and participation. Building on emerging work in participatory AM and drawing on established literature on democratization mechanisms, we adopt a Design Science Research approach to develop a prototype democratized AM system for workforce scheduling. Our artifact works to ensure that workers’ voices are meaningfully represented in algorithmic decision-making by building upon three democratization mechanisms: preference, feedback, and transparency. The resulting prototype is designed based on requirements derived from those democratization mechanisms and receives high worker satisfaction in a qualitative evaluation. We extend existing research by embedding democratization principles into a functioning AM system and derive design requirements that can inform the development of future AM systems. In doing so, we demonstrate how democratization can be effectively embedded in algorithmic systems in ways that are both effective and valued by workers.

TUbilio (Technical University of Darmstadt)
Peace, Justice and strong institutions
Openalex Percentile: Top 23%
Digital Economy and Work Transformation
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The Algorithm and the Crowd: A Design Science Research Approach to the Democratization of Algorithmic Management — Maria Doerr, Armin Alizadeh, et al. · TUbilio (Technical University of Darmstadt) (2025) | TGRS Research Map | TGRS