Suppr超能文献

网络的性别构成和交流模式预测女性的领导成功。

A network's gender composition and communication pattern predict women's leadership success.

机构信息

Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208.

Kellogg School of Management, Northwestern University, Evanston, IL 60208.

出版信息

Proc Natl Acad Sci U S A. 2019 Feb 5;116(6):2033-2038. doi: 10.1073/pnas.1721438116. Epub 2019 Jan 22.

Abstract

Many leaders today do not rise through the ranks but are recruited directly out of graduate programs into leadership positions. We use a quasi-experiment and instrumental-variable regression to understand the link between students' graduate school social networks and placement into leadership positions of varying levels of authority. Our data measure students' personal characteristics and academic performance, as well as their social network information drawn from 4.5 million email correspondences among hundreds of students who were placed directly into leadership positions. After controlling for students' personal characteristics, work experience, and academic performance, we find that students' social networks strongly predict placement into leadership positions. For males, the higher a male student's centrality in the school-wide network, the higher his leadership-job placement will be. Men with network centrality in the top quartile have an expected job placement level that is 1.5 times greater than men in the bottom quartile of centrality. While centrality also predicts women's placement, high-placing women students have one thing more: an inner circle of predominantly female contacts who are connected to many nonoverlapping third-party contacts. Women with a network centrality in the top quartile and a female-dominated inner circle have an expected job placement level that is 2.5 times greater than women with low centrality and a male-dominated inner circle. Women who have networks that resemble those of high-placing men are low-placing, despite having leadership qualifications comparable to high-placing women.

摘要

如今,许多领导者并非通过晋升而来,而是直接从研究生项目中被招募到领导岗位。我们采用准实验和工具变量回归的方法,研究了学生在研究生阶段的社交网络与不同权威层级的领导岗位安置之间的联系。我们的数据不仅衡量了学生的个人特征和学业成绩,还从数百名直接获得领导岗位的学生的 450 万封电子邮件往来中提取了他们的社交网络信息。在控制了学生的个人特征、工作经验和学业成绩之后,我们发现学生的社交网络强烈地预测了他们的领导岗位安置。对于男性来说,学生在全校网络中的中心度越高,他的领导岗位安置就越高。处于网络中心度前四分之一的男性的预期工作安置水平比处于中心度后四分之一的男性高 1.5 倍。虽然中心度也预测了女性的安置,但高安置女性学生还有一个额外的优势:一个以女性为主的内部圈子,与许多不重叠的第三方联系人相连。处于网络中心度前四分之一且拥有以女性为主的内部圈子的女性,其预期工作安置水平比处于中心度低四分之一且内部圈子以男性为主的女性高 2.5 倍。尽管具有与高安置女性相当的领导资格,但拥有类似于高安置男性的网络的女性却处于低安置水平。

相似文献

7
Women in Academic Science: A Changing Landscape.女性在学术科学界:变化中的风景。
Psychol Sci Public Interest. 2014 Dec;15(3):75-141. doi: 10.1177/1529100614541236.

引用本文的文献

3
Collective dynamics behind success.成功背后的集体动力。
Nat Commun. 2024 Dec 19;15(1):10701. doi: 10.1038/s41467-024-54612-4.
9
Data, measurement and empirical methods in the science of science.科学学中的数据、度量和经验方法。
Nat Hum Behav. 2023 Jul;7(7):1046-1058. doi: 10.1038/s41562-023-01562-4. Epub 2023 Jun 1.

本文引用的文献

4
Science faculty's subtle gender biases favor male students.理科教员微妙的性别偏见偏爱男学生。
Proc Natl Acad Sci U S A. 2012 Oct 9;109(41):16474-9. doi: 10.1073/pnas.1211286109. Epub 2012 Sep 17.
7
Inferring friendship network structure by using mobile phone data.利用手机数据推断友谊网络结构。
Proc Natl Acad Sci U S A. 2009 Sep 8;106(36):15274-8. doi: 10.1073/pnas.0900282106. Epub 2009 Aug 17.
9

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验