The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The glass cliff: When and why women are selected as leaders in crisis contexts
Abstract
The glass cliff refers to women being more likely to rise to positions of organizational leadership in times of crisis than in times of success, and men being more likely to achieve those positions in prosperous times. We examine the role that (a) a gendered history of leadership and (b) stereotypes about gender and leadership play in creating the glass cliff. In Expt 1, participants who read about a company with a male history of leadership selected a male future leader for a successful organization, but chose a female future leader in times of crisis. This interaction – between company performance and gender of the preferred future leader – was eliminated for a counter‐stereotypic history of female leadership. In Expt 2, stereotypically male attributes were most predictive of leader selection in a successful organization, while stereotypically female attributes were most predictive in times of crisis. Differences in the endorsement of these stereotypes, in particular with regard to the ascription of lower stereotypically female attributes to the male candidate mediated the glass cliff effect. Overall, results suggest that stereotypes about male leadership may be more important for the glass cliff effect than stereotypes about women and leadership.
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
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
Role congruity theory of prejudice toward female leaders.
Eagly, A. H., & Karau, S. J. (2002) · Psychological Review · doi:10.1037//0033-295x.109.3.573 · Cited by 7,300
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897
Heilman, M. E. (2001) · Journal of Social Issues · doi:10.1111/0022-4537.00234 · Cited by 2,482
Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.6.845 · Cited by 2,452
Cited by
Koch, A. J., D'Mello, S. D., & Sackett, P. R. (2015) · Journal of Applied Psychology · doi:10.1037/a0036734 · Cited by 583
Leading at the top: Understanding women's challenges above the glass ceiling
Glass, C., & Cook, A. (2016) · The Leadership Quarterly · doi:10.1016/j.leaqua.2015.09.003 · Cited by 444
Getting on top of the glass cliff: Reviewing a decade of evidence, explanations, and impact
Ryan, M. K., Haslam, S. A., Morgenroth, T., Rink, F., Stoker, J., & Peters, K. (2016) · The Leadership Quarterly · doi:10.1016/j.leaqua.2015.10.008 · Cited by 439
Women and Top Leadership Positions: Towards an Institutional Analysis
Cook, A., & Glass, C. (2014) · Gender, Work & Organization · doi:10.1111/gwao.12018 · Cited by 400
Crisis leadership: A review and future research agenda
Wu, Y. L., Shao, B., Newman, A., & Schwarz, G. (2021) · The Leadership Quarterly · doi:10.1016/j.leaqua.2021.101518 · Cited by 280
Metadata
- Authors
- Bruckmüller, S., & Branscombe, N. R.
- Venue
- British Journal of Social Psychology
- Publisher
- Wiley
- Published
- 2010-09
- Volume
- 49
- Issue
- 3
- Pages
- 433-451
- ISSN
- 0144-6665 (ISSN-L)
- 2044-8309
- OpenAlex
- W2159033298
- Cited by
- 269
- References
- 7
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- closed
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 glass cliff: When and why women are selected as leaders in crisis contexts. https://app.cochat.ai/papers/10.1348/014466609x466594
- The paper
- Bruckmüller, S., & Branscombe, N. R. (2010). The glass cliff: When and why women are selected as leaders in crisis contexts. British Journal of Social Psychology. https://doi.org/10.1348/014466609x466594
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.