The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The Business Case for Women Leaders: Meta-Analysis, Research Critique, and Path Forward
Open accessAbstract
Since the 1990s, a growing body of research has sought to quantify the relationship between women’s representation in leadership positions and organizational financial performance. Commonly known as the “business case” for women’s leadership, the idea is that having more women leaders is good for business. Through meta-analysis ( k = 78, n = 117,639 organizations) of the direct effects of women’s representation in leadership (as CEOs, on top management teams, and on boards of directors) on financial performance, and tests that proxy theoretical arguments for moderated relationships, we call attention to equivocal findings. Our results suggest women’s leadership may affect firm performance in general and sales performance in particular. And women’s leadership—overall and, specifically, the presence of a female CEO—is more likely to positively relate to firms’ financial performance in more gender egalitarian cultures. Yet taking our findings as a whole, we argue that commonly used methods of testing the business case for women leaders may limit our ability as scholars to understand the value that women bring to leadership positions. We do not advocate that the business case be abandoned altogether but, rather, improved and refined. We name exemplary research studies to show how different perspectives on gender, alternative conceptualizations of value, and the specification of underlying mechanisms linking leadership to performance can generate changes in both the dominant ontology and the epistemology underlying this body of research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
Mixing Qualitative and Quantitative Methods: Triangulation in Action.
Jick, T. D. (1979) · Administrative Science Quarterly · doi:10.2307/2392366 · Cited by 7,103
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Culture, leadership, and organizations: the GLOBE study of 62 societies
(2005) · Choice Reviews Online · doi:10.5860/choice.42-4132 · Cited by 5,058
Some Effects of Proportions on Group Life: Skewed Sex Ratios and Responses to Token Women
Kanter, R. M. (1977) · American Journal of Sociology · doi:10.1086/226425 · Cited by 3,154
Hunter, J., & Schmidt, F. (2004) · doi:10.4135/9781412985031 · Cited by 3,023
From Sex Roles to Gendered Institutions
Acker, J. (1992) · Contemporary Sociology · doi:10.2307/2075528 · Cited by 1,140
CEO servant leadership: Exploring executive characteristics and firm performance
Peterson, S. J., Galvin, B. M., & Lange, D. (2012) · Personnel Psychology · doi:10.1111/j.1744-6570.2012.01253.x · Cited by 428
Cited by
Meta-analyses on Corporate Social Responsibility (CSR): a literature review
Velte, P. (2022) · Management Review Quarterly · doi:10.1007/s11301-021-00211-2 · Cited by 367
Women and Leadership in the United States: Are We Closing the Gender Gap?
Lyness, K. S., & Grotto, A. R. (2018) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-032117-104739 · Cited by 122
Atz, U., Van Holt, T., Liu, Z. Z., & Bruno, C. (2021) · doi:10.2139/ssrn.3919652 · Cited by 13
Metadata
- Authors
- Hoobler, J. M., Masterson, C. R., Nkomo, S. M., & Michel, E. J.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2016-03-02
- Volume
- 44
- Issue
- 6
- Pages
- 2473-2499
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2293410060
- Cited by
- 421
- References
- 14
- FWCI
- 44.84
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Business Case for Women Leaders: Meta-Analysis, Research Critique, and Path Forward. https://app.cochat.ai/papers/10.1177/0149206316628643
- The paper
- Hoobler, J. M., Masterson, C. R., Nkomo, S. M., & Michel, E. J. (2018). The Business Case for Women Leaders: Meta-Analysis, Research Critique, and Path Forward. Journal of Management. https://doi.org/10.1177/0149206316628643
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.