TY  - EJOU
AU  - Guo, Chunhong 
AU  - Liu, Huifang 
AU  - Guo, Jingfu 

TI  - Algorithmic opacity and employees’ knowledge hiding: medication by job insecurity and moderation by employee—AI collaboration
T2  - Journal of Psychology in Africa

PY  - 2025
VL  - 35
IS  - 3
SN  - 1815-5626

AB  - We explored the effects of algorithmic opacity on employees’ playing dumb and evasive hiding rather than rationalized hiding. We examined the mediating role of job insecurity and the moderating role of employee-AI collaboration. Participants were 421 full-time employees (female = 46.32%, junior employees = 31.83%) from a variety of organizations and industries that interact with AI. Employees filled out data on algorithm opacity, job insecurity, knowledge hiding, employee-AI collaboration, and control variables. The results of the structural equation modeling indicated that algorithm opacity exacerbated employees’ job insecurity, and job insecurity mediated between algorithm opacity and playing dumb and evasive hiding rather than rationalized hiding. The relationship between algorithmic opacity and playing dumb and evasive hiding was more positive when the level of employee-AI collaboration was higher. These findings suggest that employee-AI collaboration reinforces the indirect relationship between algorithmic opacity and playing dumb and evasive hiding. Our study contributes to research on human and AI collaboration by exploring the dark side of employee-AI collaboration.
KW  - algorithmic opacity; job insecurity; knowledge hiding; employee-AI collaboration

DO  - 10.32604/jpa.2025.065763