Cited by 1,003Gender Diversity and InequalityCoaching Methods and ImpactLeadership and Management in Organizations

Taking gender into account: theory and design for women's leadership development programs

Ely, Robin J., Ibarra, Herminia, Kolb, Deborah M.·2011·Academy of Management Learning & Education

Abstract

We conceptualize leadership development as identity work and show how subtle forms of gender bias in the culture and in organizations interfere with the identity work of women leaders. Based on this insight, we revisit traditional approaches to standard leadership topics, such as negotiations and leading change, as well as currently popular developmental tools, such as 360-degree feedback and networking; reinterpret them through the lens of women's experiences in organizations; and revise them to meet the particular challenges women face when transitioning into senior leadership. By framing leadership development as identity work, we reveal the gender dynamics involved in becoming a leader, offer a theoretical rationale for teaching leadership in women-only groups, and suggest design and delivery principles to increase the likelihood that women's leadership programs will help women advance into more senior leadership roles.

Integrity signals

Registry

Crossref · 10.5465/amle.2010.0046

Cites

137 of 137 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many organizations are proactively developing ways to reduce second-generation discrimination and stereotype threat.

    “Many organizations are proactively developing ways to reduce second-generation discrimination and stereotype threat (Ely, Ibarra, & Kolb, 2011)”

    From Managing to clear the air: Stereotype threat, women, and leadership (2016) · cites this paper as Ely, Ibarra, & Kolb, 2011

  • Interventions designed to increase women's belief that leadership abilities can be cultivated, or growth mindsets of leadership, are promising for buffering women from stereotype threat effects.

    “Finally, interventions designed to increase women's belief that leadership abilities can be cultivated, or growth mindsets of leadership, are promising for buffering women from stereotype threat effects (Burnette et al., 2010;Ely, Ibarra, & Kolb, 2011;Pollack et al., 2012).”

    From Managing to clear the air: Stereotype threat, women, and leadership (2016) · cites this paper as Ely, Ibarra, & Kolb, 2011

Cites

Flagged first, then by citations

1 of the 138 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Ely, R. J., Ibarra, H., & Kolb, D. M.
Affiliations
  • Harvard University (US)
  • INSEAD (FR)
  • Simmons University (US)
Venue
Academy of Management Learning & Education
Published
2011-09
Volume
10
Issue
3
Pages
474-493
ISSN
  • 1537-260X (ISSN-L)
  • 1944-9585
OpenAlex
W2035844300
Cited by
1,003
References
138
Citations by year
2026: 82 · 2025: 89 · 2024: 92 · 2023: 65 · 2022: 68 · 2021: 106 · 2020: 113 · 2019: 56 · 2018: 72 · 2017: 68 · 2016: 60 · 2015: 50 · 2014: 35 · 2013: 30 · 2012: 13
FWCI
64.24
Type
journal article
Language
en
Open access
closed
Locations
Academy of Management Learning and Education (publishedVersion)
Topics
  • Social Sciences › Gender Studies › Gender Diversity and Inequality
  • Social Sciences › Psychology › Applied Psychology › Coaching Methods and Impact
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Leadership and Management in Organizations
Keywords
women in leadership, leadership development programs, identity work, gender bias, gender dynamics, negotiation, leading change, 360-degree feedback, networking, program design

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