HUMAN-CENTERED DIGITAL ARCHITECTURE OF HUMAN RESOURCE MANAGEMENT: DESIGN PRINCIPLES AND METRICS FOR SUPPORTING EMPLOYEE MOTIVATION AND PSYCHOLOGICAL RESILIENCE

Abstract

Human-centered digital HRM architecture (HCD-HRMA) addresses a turbulence context in which organizations face simultaneous talent shortages, employee overload, hybrid work fragmentation, and rising digital risks while still needing to sustain motivation and psychological resilience. We identify a persistent gap in the literature and practice: digital HRM often advances through isolated tools and partial automation, yet lacks an integrative logic that aligns strategy, data governance, HR processes, service delivery, and employee digital experience with ethical safeguards and measurable people-related outcomes. We develop HCD-HRMA as an integrative reference model that makes this alignment explicit and actionable. We apply a conceptual-analytical design and use design-oriented modeling to synthesize insights from digital HRM, HR ecosystem thinking, digital HR strategy, employee experience management, HR analytics, and research on digital HRM acceptance and algorithmic practices. We construct a five-layer architecture – data, processes, services, experience, and governance/ethics – and specify how each layer contributes to stable motivational and adaptive outcomes under uncertainty. We also derive a compact set of design principles that translate human-centered requirements into operational rules for digital HR decisions, including transparency and explainability, human control in critical decisions, procedural fairness, minimization of digital load, personalization without over-monitoring, and resilience-oriented service design. We translate the model into measurement artifacts to support implementation. We propose an architecture checklist and a human-centeredness index that aggregates layer-specific sub-indices and relies on evidence-based scoring to assess maturity and gaps. We also propose a metrics map that links service quality indicators, employee experience signals, trust-related markers, and organizational outcomes, enabling HR analytics to track both positive effects (resource-building, engagement, adaptive performance) and negative trajectories (digital overload, distrust, resistance to change). We show how the proposed toolkit can guide internal audits of digital HR architecture, prioritize HR-tech investments, and establish monitoring routines for demotivation and exhaustion risks in crisis conditions.