Informed by social identity theory, we developed a model to examine the antecedents and consequences of perceptions of personal gender discrimination. In the model, gender, gender identity, and perceived gender bias against women are considered as salient predictors of perceived personal gender discrimination, and organizational commitment and intentions to leave are considered as the outcome variables. Structural equation modeling (SEM) was used to analyze the data collected from a sample of practicing solicitors in Hong Kong. We found that (a) women perceived more personal gender discrimination and gender bias against women than did men, (b) gender moderated the relationship between perceived gender bias against women and perceived personal gender discrimination, (c) the positive effect of gender bias against women on gender discrimination was more strongly positive for women than for men, and (d) perceived personal gender discrimination affected organizational commitment and intentions to leave. Theoretical and practical implications are discussed. . Women perceive more gender discrimination than do men, and these perceptions are associated with lower feelings of power and prestige on the job, more work conflict, more hours spent on paid work activities (Gutek et al., 1996), low self-esteem, increased depression and anxiety (Foster, 2000;Kobrynowicz & Branscombe, 1997), and perceptions of disempowerment (Foster, Arnt, & Honkola, 2004). Perceived gender bias against women is also important as it relates to issues such as equal employment opportunity and affirmative action.Few researchers, however, have addressed in one conceptual model organizational commitment and intentions to leave as consequences of perceived personal gender discrimination and perceived gender bias against women. Our study fills this gap, as we used social identity theory to develop and test a conceptual model of antecedents (i.e., gender, gender identity, and perceived gender bias against women) and consequences (i.e., organizational commitment and intentions to leave) of perceived personal gender discrimination. Our approach has several strengths. First, our application of social identity theory recognizes that although demographic variables are useful in explaining employee perceptions of and responses to discrimination and bias, they alone are not adequate. An individual's psychological investment in his or her gender category (i.e., his or her gender identity) is another important predictor. Second, we examined the potential costs associated with perceived personal gender discrimination in the form of reduced employee commitment and increased intentions to leave the organization. Third, we used an intergroup approach to gender relations to develop separate models for women and men. The two models are not invariant in that certain relationships are expected to be gender specific. The point of our analyses was to test for certain gender differences based on theory and previous research.