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Getting on top of the glass cliff: Reviewing a decade of evidence, explanations, and impact
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“Furthermore, the challenges persist even for those who manage to break through the glass ceiling, as women are more likely than men to hold risky and precarious management positions-a phenomenon referred to as the 'glass cliff' (Amakye et al., 2021;Ryan et al., 2016).”
From Barriers to Leadership: Experiences of Women Leaders in Business and Politics (2024) · cites this paper as Ryan et al., 2016
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Metadata
- Authors
- Ryan, M. K., Haslam, S. A., Morgenroth, T., Rink, F., Stoker, J., & Peters, K.
- Affiliations
- University of Groningen (NL)
- The University of Queensland (AU)
- University of Exeter (GB)
- Corresponding author
- Ryan, Michelle K.
- Venue
- The Leadership Quarterly
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 27
- Issue
- 3
- Pages
- 446-455
- ISSN
- 1048-9843 (ISSN-L)
- OpenAlex
- W2282655057
- Cited by
- 439
- References
- 67
- Citations by year
- 2026: 59 · 2025: 43 · 2024: 62 · 2023: 45 · 2022: 53 · 2021: 45 · 2020: 46 · 2019: 47 · 2018: 20 · 2017: 15 · 2016: 4
- FWCI
- 65.20
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- The Leadership Quarterly (publishedVersion)
- Open Research Exeter (University of Exeter) (acceptedVersion)
- Figshare (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- European Social Fund (4130)
- Economic and Social Research Council (062 23 0135)
- Topics
- Social Sciences › Gender Studies › Gender Diversity and Inequality
- Social Sciences › Gender Studies › Gender Politics and Representation
- Social Sciences › Gender Studies › Media, Gender, and Advertising
- Keywords
- glass cliff, women in leadership, gender and leadership, leadership appointments, moderators, gender stereotypes
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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