Can Work Be Meaningful Under Algorithmic Management? A MacIntyrean Perspective

Pablo García Ruiz & Marta Rocchi

Business Ethics Quarterly2025https://doi.org/10.1017/beq.2025.5article
AJG 3ABDC A
Weight
0.44

Abstract

Algorithmic management is deeply changing the way work is performed and the interaction between managers and workers in organizations. It also heavily affects the conditions for meaningful work highlighted by existing literature. Therefore, organizations need an appropriate framework to enable meaningful work when adopting algorithmic management systems. This article presents a normative study of the conditions for work to be meaningful in this new scenario. To fulfil this purpose, it adopts a MacIntyrean approach, according to which work is meaningful when it embodies practice-like characteristics. The article identifies the main threats of algorithmic management and characterizes the normative conditions organizations should meet to enable meaningful work. In addition, the article explores the strategies of resistance that workers use to live up to the standards of meaningful work when organizations are not capable or willing to provide those conditions.

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https://doi.org/https://doi.org/10.1017/beq.2025.5

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@article{pablo2025,
  title        = {{Can Work Be Meaningful Under Algorithmic Management? A MacIntyrean Perspective}},
  author       = {Pablo García Ruiz & Marta Rocchi},
  journal      = {Business Ethics Quarterly},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1017/beq.2025.5},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.