性别多样性
多级模型
多样性(政治)
心理学
工作满意度
跨国公司
作文(语言)
社会心理学
监督人
两性平等
性别研究
社会学
政治学
管理
机器学习
哲学
语言学
经济
法学
计算机科学
公司治理
人类学
作者
Jane Terpstra-Tong,Len J. Treviño,Alara Cansu Yaman,Fabian Jintae Froese,David A. Ralston,Nikos Bozionelos,Olivier Furrer,Brian Tjemkes,Fidel León Darder,Yongjuan Li,Pingping Fu,Mario Marco Molteni,Ian Palmer,Zuzana Tučková,Erna Szabo,Gabrielle Poeschl,Martin Hemmert,María Teresa de la Garza Carranza,Satoko Suzuki,Narasimhan Srinivasan
标识
DOI:10.1111/1748-8583.12570
摘要
Abstract Drawing from status characteristics theory, we develop a multilevel model to explain the relationships between gender composition (e.g., female‐female supervisor‐subordinate dyads, a female majority at the next higher level, and a female majority at the same job level) in the workplace and women's career satisfaction. We hypothesise that working with a female supervisor and a female majority at the same level will be negatively related to women's career satisfaction, while a female majority at the next higher level will be positively related to women's career satisfaction. Moreover, we propose that formal societal (gender‐equality) institutions and informal cultural (gender‐egalitarian) values, each has a moderating effect on the impact of gender compositions on women's career satisfaction. Our results from a multilevel analysis of 2291 women across 35 societies support the three hypothesised main effects. Whereas institutions that support gender equality weaken the positive effect of working with a female majority at the next higher level, they amplify the negative effect of a female majority at the same hierarchical level. Our findings highlight the complex and paradoxical nature of gender composition effects on women's career satisfaction. We discuss the theoretical contributions of our findings and their implications for the diversity management practices of multinational enterprises.
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