When Does Beauty Pay? A Large-Scale Image-Based Appearance Analysis on Career Transitions

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Research Pub Date : 2023-11-08 DOI:10.1287/isre.2021.0559
Nikhil Malik, Param Vir Singh, Kannan Srinivasan
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Abstract

When Does Beauty Pay? A Large-Scale Image Based Appearance Analysis on Career Transitions In this study, we collect up to 15 years of career histories for over 40,000 MBA graduates from top 100 MBA programs in the United States. We find that attractive MBA graduates earn at least $2,508 more in yearly salary compared with plain-looking (unattractive) MBA graduates. The attractiveness premium is even larger for top 10 percentile attractive graduates, for those with arts undergraduate majors, and those in managerial roles, nontechnical jobs, and non-IT industries. Policymakers should note that the attractiveness bias is not much smaller in size than gender bias. It is pervasive over time (in individuals in their 30s and 40s and not just 20s) and across industries. It may need a similar focus as gender or racial bias in labor markets. Companies can craft their HR trainings and procedures guided by this finding. A study of this scale is only possible using cutting-edge machine learning and generative AI methods (instead of human subjects) for large-scale data processing.
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美容什么时候有价值?基于大尺度图像的职业转型外貌分析
美容什么时候有价值?在这项研究中,我们收集了来自美国前100名MBA项目的4万多名MBA毕业生长达15年的职业历史。我们发现,有魅力的MBA毕业生比长相平平的(没有吸引力的)MBA毕业生年薪至少多挣2508美元。对于最具吸引力的前10%的毕业生、艺术本科专业的毕业生、管理职位、非技术工作和非it行业的毕业生来说,吸引力溢价甚至更大。政策制定者应该注意到,吸引力偏见在规模上并不比性别偏见小多少。随着时间的推移(在30多岁和40多岁的人中,而不仅仅是20多岁的人),它在各个行业都很普遍。它可能需要与劳动力市场中的性别或种族偏见类似的关注。公司可以根据这一发现制定人力资源培训和流程。这种规模的研究只能使用尖端的机器学习和生成式人工智能方法(而不是人类受试者)进行大规模数据处理。
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来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
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