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Best Practices or Best Guesses? Assessing the Efficacy of Corporate Affirmative Action and Diversity Policies
Open accessAbstract
Employers have experimented with three broad approaches to promoting diversity. Some programs are designed to establish organizational responsibility for diversity, others to moderate managerial bias through training and feedback, and still others to reduce the social isolation of women and minority workers. These approaches find support in academic theories of how organizations achieve goals, how stereotyping shapes hiring and promotion, and how networks influence careers. This is the first systematic analysis of their efficacy. The analyses rely on federal data describing the workforces of 708 private sector establishments from 1971 to 2002, coupled with survey data on their employment practices. Efforts to moderate managerial bias through diversity training and diversity evaluations are least effective at increasing the share of white women, black women, and black men in management. Efforts to attack social isolation through mentoring and networking show modest effects. Efforts to establish responsibility for diversity lead to the broadest increases in managerial diversity. Moreover, organizations that establish responsibility see better effects from diversity training and evaluations, networking, and mentoring. Employers subject to federal affirmative action edicts, who typically assign responsibility for compliance to a manager, also see stronger effects from some programs. This work lays the foundation for an institutional theory of the remediation of workplace inequality.
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Metadata
- Authors
- Kalev, A., Dobbin, F., & Kelly, E.
- Affiliations
- Tel Aviv University (IL)
- Harvard University (US)
- University of Minnesota (US)
- Corresponding author
- Kalev, Alexandra
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 2006-08
- Volume
- 71
- Issue
- 4
- Pages
- 589-617
- ISSN
- 0003-1224 (ISSN-L)
- 1939-8271
- OpenAlex
- W2143645464
- Cited by
- 2,052
- References
- 155
- Citations by year
- 2026: 142 · 2025: 162 · 2024: 147 · 2023: 125 · 2022: 127 · 2021: 141 · 2020: 125 · 2019: 169 · 2018: 109 · 2017: 96 · 2016: 91 · 2015: 116 · 2014: 93 · 2013: 79 · 2012: 78
- FWCI
- 88.34
- Type
- journal article
- Language
- en
- Open access
- green
- autopapers.ssrn.com
- Locations
- American Sociological Review (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Gender Studies › Gender Diversity and Inequality
- Social Sciences › Psychology › Applied Psychology › Career Development and Diversity
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- workplace diversity, diversity training, mentoring, networking, managerial bias, women in management, minority managers, workplace inequality, institutional theory, employment practices
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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