Understanding, predicting and addressing women’s exits from male-dominated professions: Accelerating progress with an integrative framework

Key digested message The question of why women leave male-dominated professions concerns researchers and practitioners alike. This article proposes a new framework to address this question more systematically. It distinguishes women’s professional exits from their organisational exits and stresses the importance of using multi-level work dissatisfaction data to predict each exit type. It also highlights the moderating role of successive career stages on exit behaviour and champions the significance of gender-comparative analyses in advancing exit-related insights. While researchers can use this framework to identify key (control) variables for future studies, practitioners may draw on it to develop effective retention strategies.

Authors

Publication Details

Journal
Assessment and Development Matters
Published
2025-02-17
DOI
https://doi.org/10.53841/bpsadm.2025.17.1.11
Primary Topic
Retirement, Disability, and Employment
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding, predicting and addressing women’s exits from male-dominated professions: Accelerating progress with an integrative framework

Susanne Quadflieg, Fabiola Dorn
Assessment and Development Matters
Retirement, Disability, and Employment
article

Understanding, predicting and addressing women’s exits from male-dominated professions: Accelerating progress with an integrative framework

Susanne Quadflieg, Fabiola Dorn
article en

Abstract

Key digested message The question of why women leave male-dominated professions concerns researchers and practitioners alike. This article proposes a new framework to address this question more systematically. It distinguishes women’s professional exits from their organisational exits and stresses the importance of using multi-level work dissatisfaction data to predict each exit type. It also highlights the moderating role of successive career stages on exit behaviour and champions the significance of gender-comparative analyses in advancing exit-related insights. While researchers can use this framework to identify key (control) variables for future studies, practitioners may draw on it to develop effective retention strategies.

Assessment and Development MattersVol. 17(1)
Openalex Percentile: Top 80%
Retirement, Disability, and Employment
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