性别、资历与成功:对高层管理团队受教育程度的考察

IF 3.2 2区 社会学 Q1 SOCIOLOGY
Alicia R. Ingersoll , Christy Glass , Alison Cook
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引用次数: 0

摘要

近几十年来,女性在受教育程度方面取得了历史性的进步,目前在大学入学率和学位完成率方面已超过男性。然而,尽管旨在提高女性在工作组织中的地位的政策和计划无处不在,但女性在教育方面的进步尚未转化为更多女性在精英企业中任职。本研究试图通过分析女性的受教育程度和学历能够使她们克服进入高管职位的性别障碍的条件,来解决这一难题。具体来说,我们分析了女性的教育程度和资历在哪些条件下有助于进入高管职位,并为进入男性主导的职位提供必要的网络关系。为了回答我们的研究问题,我们分析了作者构建的一个独特的数据集,该数据集包括 S&P 500 指数在 5 年内的所有高层管理人员。我们使用有序逻辑回归分析了高管的教育程度和教育网络。研究结果表明,女性和男性高管在网络和资历方面存在关键差异,这导致了在获得组织领导机会方面的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gender, credentials & success: An examination of educational attainment in top management teams

In recent decades, women have made historic gains in educational attainment, now outpacing men in terms of college enrollment and degree completion. Yet, despite the ubiquity of policies and programs aimed at advancing women in work organizations, women's educational gains have not yet translated into greater representation in elite corporate roles. The current study seeks to address this puzzle by analyzing the conditions under which women's educational attainment and credentials enable them to overcome gendered barriers to entry into executive positions. Specifically, we analyze the conditions under which women's educational attainment and credentials facilitate entry into executive roles and provide access to network ties necessary for gaining entrance into male-dominated positions. To answer our research questions we analyze a unique, author-constructed dataset that includes all top executives of the S&P 500 over a 5-year period. We use ordered logistic regression to analyze both the educational attainment and educational networks of executives. Findings suggest that key differences between women and men executives' networks and credentials exist, which contribute to disparities in access to organizational leadership opportunities.

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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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