Gender, Race, and the Shadow Structure

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Abstract
In this article, I analyze survey data from more than 1,000 financial services employees to understand how gender inequality manifests itself in employees' informal networks. I found that even when Black and white women had jobs in which they controlled organizational resources and had ties to powerful employees, they received less work-related help from their network members than did white men. Drawing on status characteristics theory, I explain that network members were less likely to invest in women than in white men because of cultural beliefs that rank women below that of white men. While past research has documented how employers use gender to rank workers and distribute rewards unequally, my research indicates that workers use gender to categorize and rank their network members as well.