Corporate Hiring Under COVID-19: Financial Constraints and the Nature of New Jobs
利用招聘大数据和机器学习方法，研究发现疫情后企业减少高技能岗位招聘，财务约束强的企业削减最多；新岗位偏向运营核心职能，灵活性和任务安排增强，且这些变化在财务约束企业中更显著。
Abstract Big data on job postings reveal multiple facets of the impact of COVID-19 on corporate hiring. Firms disproportionately cut new hiring for high-skill positions, with financially constrained firms reducing skilled hiring the most. Applying machine learning methods to job-ad texts, we find that firms have skewed their hiring toward operationally-core functions. New positions display greater flexibility regarding schedules and tasks. While job posting levels show signs of recovery starting in late-2020, changes to job descriptions and skill profiles persist through early-2022. Financial constraints amplify these changes, with constrained firms’ new hires witnessing greater adjustments to job roles and employment arrangements.