Gender Differences in Responses to Competitive Organization? A Field Experiment on Differences Between STEM and Non-STEM Fields from an Internet-of-Things Platform

• 成果类型: Article
• 署名作者: Boudreau, Kevin J.; Kaushik, Nilam
• 署名单位: Northeastern University; National Bureau of Economic Research; Indian Institute of Management (IIM System); Indian Institute of Management Bangalore
• 刊物名称: ORGANIZATION SCIENCE
• ISSN/ISSBN: 1047-7039
• DOI: 10.1287/orsc.2022.1624
• 发表日期: 2023
• 页码: 2119-2142
• 关键词: platforms; INNOVATION; diversity; stem; online distributed work; field experiment; sorting; GENDER

摘要

Prior research, primarily based on laboratory experiments, suggests that females might be more averse to competition than are males; females might, instead, be more inclined toward collaboration. Were these findings to generalize to working-age men and women across the workforce, there could be profound implications for organizational design and personnel management. We report on a field experiment in which 97,678 adults from a wide range of fields of training and career stages were invited to join a product development platform. Individuals were randomly assigned to treatments framing the opportunity as either involving competitive or collaborative interactions with other participants. Among those outside of science, technology, engineering, and math (STEM) fields, we find differences in the willingness of men and women to participate under competition. Thus, patterns in non-STEM fields conform to the usual claims of gender differences. However, among those in STEM fields, we find no statistical gender differences. Results hold under a series of alternative specifications, controls, and stratified analyses of 17 narrowly defined STEM subfields. The results are also consistent with sorting into fields on the basis of competitiveness, as suggested by prior research, as well as other explanations we discuss. Overall, heterogeneity in competitiveness among women and among men, particularly across fields, appears more striking here than population-wide gender differences.