An Integrative Conceptual Review of Gender Bias in Leader Evaluations: An Observer-Focused Motive-Driven Process Model

成果类型:
Article
署名作者:
Oh, Soojin; Joshi, Aparna; Polineni, Sridhar
署名单位:
University of Hong Kong; University of Michigan System; University of Michigan
刊物名称:
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN:
0021-9010
DOI:
10.1037/apl0001350
发表日期:
2026
关键词:
role congruity theory IMPRESSION-FORMATION FEMALE SUPERVISORS POLITICAL-IDEOLOGY status incongruity double standards RACIAL MINORITY sex-differences women leaders stereotypes
摘要:
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.