Cognitive Overload and Performance Trade-Offs: A Multi-Country Study on AI-HRM Integration in the Asia-Pacific

This multi-country study examines cognitive overload dynamics and performance trade-offs during AI-HRM integration across 427 enterprises in Japan, India, Australia, Thailand, Vietnam, and Indonesia. Quantitative and qualitative data reveal that algorithmic complexity increases cognitive load by 55% among HR professionals (Zhang & Park, 2024), triggering performance-accuracy trade-offs in 68% of organizations (Tanaka et al., 2024). Key moderators include technological transparency, skill scaffolding quality, and cultural dimensions of technology acceptance (Nguyen & Smith, 2024). Findings demonstrate that enterprises implementing neuroadaptive systems reduce decision latency by 42% while maintaining ethical compliance (Chen, 2024). The research proposes a cognitive alignment framework to optimize AI-HRM integration across Asia-Pacific’s diverse organizational contexts.