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Cited by 490

The DOI matches its Crossref record; 292 of the 292 references it cites were found in a registry or an index.

The Organizational Reproduction of Inequality

Open access
Amis, John M., Mair, Johanna, Munir, Kamal A.·2020·Academy of Management Annals

Abstract

With societal inequalities continuing to increase and organizations providing the vast majority of people with their income, we wanted to assess the ways in which organizational practices are implicated in the burgeoning of social and economic inequality. Following an integrative review of the literature drawn from across the social sciences, we found that the multiple ways in which five major organizational practices—hiring, role allocation, promotion, compensation, and structuring—are enacted emerged as being central to the reproduction of inequality. We also uncovered how the persistence of these practices, and the inequality they induce, can be largely attributed to a constellation of three highly institutionalized myths, efficiency, meritocracy, and positive globalization. Our analysis further reveals how, as scholars, we bear a corresponding responsibility to reconsider how we engage in research on and teaching about organizations. The implications of this for our future work are discussed.

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Metadata

Authors
Amis, J. M., Mair, J., & Munir, K. A.
Venue
Academy of Management Annals
Published
2020-01
Volume
14
Issue
1
Pages
195-230
ISSN
  • 1941-6067 (ISSN-L)
  • 1941-6520
OpenAlex
W2989347311
Cited by
490
References
292
FWCI
46.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Organizational Reproduction of Inequality. https://app.cochat.ai/papers/10.5465/annals.2017.0033
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Amis, J. M., Mair, J., & Munir, K. A. (2020). The Organizational Reproduction of Inequality. Academy of Management Annals. https://doi.org/10.5465/annals.2017.0033

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.