← Respect · 20 readings

Parenting Journal · Volume 1 · Issue 3 · Licensed source edition

Algorithmic management and psychosocial risks at work: An emerging occupational safety and health challenge

Originally published 2025-12-27 · Scandinavian Journal of Work, Environment & Health
Nordic Association of Occupational Safety and Health · DOI 10.5271/sjweh.4270 ↗

RespectOccupational health editorial analysisCC BY 4.0
Ask this paper · Find source passages →

AI / system type

Algorithmic scheduling, goal setting and performance evaluation; systems may use AI or other digital automation

Workplace evidence

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

The AI connection

System or context examined: Algorithmic scheduling, goal setting and performance evaluation; systems may use AI or other digital automation. Algorithmic management/control is not assumed to be machine learning or generative AI.

Why this reading matters

The reading brings psychosocial risks and power in algorithmically managed work into a concrete discussion of humane work during technological change. It offers occupational health editorial analysis evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is psychosocial risks and power in algorithmically managed work. Source setting or population: Algorithmic management across platforms and traditional sectors such as logistics, retail and healthcare. Parenting and child-development outcomes are not inferred from the workplace evidence.

Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.

Editorial reading guide · Respect

Who should bear responsibility for psychosocial risks created by algorithmic management?

This occupational health editorial analysis examines psychosocial risks and power in algorithmically managed work. Its TRICK home is Respect, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

Algorithmic management across platforms and traditional sectors such as logistics, retail and healthcare

Age / stage: Workplace literature or conceptual analysis; no single child age range

Read with three questions

  1. Who should bear responsibility for psychosocial risks created by algorithmic management?
  2. What do this study’s design and population — Algorithmic management across platforms and traditional sectors such as logistics, retail and healthcare — allow you to infer about another workplace?
  3. When considering psychosocial risks and power in algorithmically managed work, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

This is a scholarly editorial drawing on prior research, not an original cohort or intervention study; proposed risk pathways require empirical testing.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

Opening the verified paper and agent…

Checking the article identity, license record, and saved source text.

Open the repository record

Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Mairi Bowdler; Heidi Lahti; Marie Jelenko; Giuliana Buresti; Teppo Valtonen (2025). Algorithmic management and psychosocial risks at work: An emerging occupational safety and health challenge Scandinavian Journal of Work, Environment & Health. https://doi.org/10.5271/sjweh.4270

Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.