A Commentary on Wolf and Stock-Homburg (2025) – Examining Robot Readiness Through Gendered and Intersectional Perspectives

This commentary builds on Wolf and Stock-Homburg’s (2025) study on employee acceptance of robotic managers by introducing a gendered and intersectional lens to the analysis of robot readiness. It argues that acceptance of robotic leadership is influenced not only by technological performance but also by social identity dynamics. In particular, drawing on stereotype threat, status threat, and affective forecasting, the commentary highlights how gendered expectations influence responses to robot overperformance, further extending the discussion through an intersectional framework to illustrate how complex bias patterns in response to robot embodiment are activated. It outlines practical implications for organisations, calling for diversity-responsive design to ensure that robotic systems support, rather than undermine, inclusion in the workplace.

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Publication Details

Journal
Group & Organization Management
Published
2025-06-19
DOI
https://doi.org/10.1177/10596011251351706
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

A Commentary on Wolf and Stock-Homburg (2025) – Examining Robot Readiness Through Gendered and Intersectional Perspectives

Myriam N. Bechtoldt, Marie-Claire Joyeaux
Group & Organization Management
Ethics and Social Impacts of AI
article

A Commentary on Wolf and Stock-Homburg (2025) – Examining Robot Readiness Through Gendered and Intersectional Perspectives

Myriam N. Bechtoldt, Marie-Claire Joyeaux
article en

Abstract

This commentary builds on Wolf and Stock-Homburg’s (2025) study on employee acceptance of robotic managers by introducing a gendered and intersectional lens to the analysis of robot readiness. It argues that acceptance of robotic leadership is influenced not only by technological performance but also by social identity dynamics. In particular, drawing on stereotype threat, status threat, and affective forecasting, the commentary highlights how gendered expectations influence responses to robot overperformance, further extending the discussion through an intersectional framework to illustrate how complex bias patterns in response to robot embodiment are activated. It outlines practical implications for organisations, calling for diversity-responsive design to ensure that robotic systems support, rather than undermine, inclusion in the workplace.

Group & Organization Management
EBS University of Business and Law (DE)
Reduced inequalities
Openalex Percentile: Top 87%
Ethics and Social Impacts of AI
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