An integrative conceptual review of gender bias in leader evaluations: An observer-focused motive-driven process model.

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Authors: Soojin S. Oh, Aparna Joshi, Sridhar Polineni
Cited by: 1

Abstract

Over the past decades, research on gender bias in leader evaluations has proliferated across multiple disciplines, significantly expanding contexts, outcomes, and theoretical perspectives examined. Despite these valuable contributions, the literature remains fragmented in explaining the persistent variability in how and why gender bias manifests, from severe penalties against women leaders in certain contexts to evaluative advantages in others. To resolve these discrepancies, we shift the focus from leaders to the motivated processes driving observer evaluations. We begin with an integrative review of research, revealing that observers, ranging from supervisors and subordinates to clients and investors, are not conduits of stereotypes but active evaluators whose motives shape how they selectively appraise women leaders. Drawing on motivated cognition theory, we develop a novel motive-driven process model that identifies three core directional motives: identity protection, value alignment, and resource dependence. Using this model, we integrate the literature by highlighting individual-level and contextual antecedents of each motive and explicating how motives drive distinct selective appraisal processes. By unpacking "why" and "how" observers evaluate women leaders through motivated processes, our model also offers targeted interventions that address observer motives rather than changing women's behaviors, underscoring a pressing need to engage various stakeholders in addressing gender bias in leader evaluations. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fields of Study & Subjects

Gender Diversity and Inequality Psychological Testing and Assessment Job Satisfaction and Organizational Behavior

Publication details

Journal / source
Journal of Applied Psychology
Publisher
American Psychological Association (APA)
Volume
111
Issue
6
Pages
689–713
Publication date
12 February 2026
Language
EN