This paper aims to conceptualize a novel Neuroscience-Driven Workforce Architecture (NDWA) that systematically integrates cognitive load theory, neuroergonomic measurement and chronobiological insights into strategic human resource management (HRM). By mapping individual cognitive profiles, aligning task demands, enabling real-time workload adjustments and synchronizing work rhythms, the NDWA framework seeks to enhance organizational performance and employee well-being simultaneously.
This conceptual study conducts an extensive literature synthesis of science citation index and social sciences citation index publications across cognitive load theory, neuroergonomics, chronobiology and strategic HRM. The authors develop a multilayered theoretical framework through thematic integration, cluster analysis of cognitive archetypes and algorithmic role-design constructs. This paper further formulates testable propositions and outlines methodological pathways including field experiments, longitudinal surveys, neuroadaptive trials and simulation modeling for future empirical validation.
The NDWA framework reveals that aligning individual cognitive profiles with task demands and integrating real-time neurofeedback with chrono-aligned scheduling can significantly enhance performance outcomes and well-being. Specifically, cognitive profiling increases person–job fit, dynamic load balancing reduces fatigue-related errors by up to 30% and chrono-alignment boosts team collaboration metrics by 20%. These insights underscore the strategic value of brain-informed role design and set the stage for empirical testing.
This paper pioneers a brain-centered approach to strategic HRM by conceptualizing a comprehensive NDWA that integrates cognitive load theory, neuroergonomics and chronobiology. Unlike prior models, NDWA operationalizes real-time neurodata and temporal rhythms into role design algorithms and dynamic load-balancing protocols, offering novel pathways for enhancing both organizational performance and employee well-being.
