劳动力多元化
多样性(政治)
劳动力
价值(数学)
业务
产业组织
劳动经济学
公共关系
知识管理
经济
社会学
政治学
经济增长
计算机科学
机器学习
人类学
作者
David P. Daniels,Jennifer Dannals,Thomas Z. Lys,Margaret A. Neale
出处
期刊:Organization Science
[Institute for Operations Research and the Management Sciences]
日期:2024-08-27
标识
DOI:10.1287/orsc.2022.17098
摘要
We examine whether investors value workforce gender diversity. Consistent with the view that investors believe workforce gender diversity can be valuable in major firms, we use event studies to demonstrate that U.S. technology firms and financial firms experience more positive stock price reactions when it is revealed that they have relatively higher (versus lower) workforce gender diversity numbers. For instance, we find that Google’s revelation of relatively low workforce gender diversity numbers triggered a negative stock price reaction, whereas eBay’s revelation of relatively high workforce gender diversity numbers triggered a positive stock price reaction. These stock price reactions are both economically and statistically significant; for example, we estimate that if a technology firm had revealed gender diversity numbers that were one standard deviation higher, its market valuation would have increased by $1.11 billion. Corroborating this plausibly causal field evidence, we also find positive investor reactions to workforce gender diversity in randomized experiments using Prolific participants with investing experience; these reactions seem to be underpinned by investors’ beliefs about potential upsides of diversity for the firm (e.g., reduced legal risks; increased creativity) but not by investors’ beliefs about potential downsides of diversity for the firm (e.g., increased conflict). Our findings highlight the importance of understanding investors’ intuitions or beliefs about major organizational phenomena such as workforce gender diversity. Our results also point toward a new type of business case for diversity, driven by investors: if major firms had more workforce gender diversity, investors may “reward” them with substantially higher valuations. Funding: This research is supported by NUS (National University of Singapore) Startup Grant WBS A-0003900-00-00 to D. P. Daniels.
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