A2A Recruitment

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

This project contains the anonymized data and supplementary materials for a study of AI-agent adoption on both sides of recruitment. Using parallel samples of job seekers and recruiters, the study examines task-technology fit, autonomy threat, and counterpart-agent trust in an emerging agent-to-agent recruitment context.