When Algorithms Become Authority: Digital Silence in AI-Mediated HRM

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).

AI is increasingly used in HRM for recruitment, performance evaluation, and workforce decisions. However, employees may notice problems with AI-driven decisions but remain silent. This study introduces Digital Silence and develops a conceptual model explaining how HRM practices can reduce it and strengthen trust in AI, while considering algorithmic opacity as a key boundary condition.