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Cited by 478

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Workforce Diversity and Inequality: Power, Status, and Numbers

DiTomaso, Nancy, Post, Corinne, Parks-Yancy, Rochelle·2007·Annual Review of Sociology

Abstract

Workforce diversity refers to the composition of work units in terms of the cultural or demographic characteristics that are salient and symbolically meaningful in the relationships among group members. Although generally thought of as the purview of management research, the topic of workforce diversity draws from and is relevant to research from sociology and psychology. In this review, we highlight two issues: (a) the importance of the substantial research on inequality to an adequate understanding of workforce diversity and (b) the need to link discussions of workforce diversity to the structural relationships among groups within the society. We organize the review in terms of three dimensions of the relationships among groups: power, status, and numbers (or composition). We highlight research from sociology, psychology, and management and show similarities and gaps across these fields. We also briefly discuss the outcomes of workforce diversity in the workplace.

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Crossref · 10.1146/annurev.soc.33.040406.131805

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Metadata

Authors
DiTomaso, N., Post, C., & Parks-Yancy, R.
Venue
Annual Review of Sociology
Published
2007-08-01
Volume
33
Issue
1
Pages
473-501
ISSN
  • 0360-0572 (ISSN-L)
  • 1545-2115
OpenAlex
W2111193756
Cited by
478
References
19
FWCI
16.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Workforce Diversity and Inequality: Power, Status, and Numbers. https://app.cochat.ai/papers/10.1146/annurev.soc.33.040406.131805
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DiTomaso, N., Post, C., & Parks-Yancy, R. (2007). Workforce Diversity and Inequality: Power, Status, and Numbers. Annual Review of Sociology. https://doi.org/10.1146/annurev.soc.33.040406.131805

Data sources

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.