The Interplay of Employment Law and Human Resource Management: A Long Research Article on Workplace Rights, Labor Policies, and Organizational Effectiveness
Main Article Content
Abstract
This study will look at the way employment law and human resource management (HRM) collaborate to design workplace rights, policy implementation and organisational effectiveness with a focus on insurance services. Study argues that contemporary regulation spanning equality, privacy, health and safety, platform work, and AI governance has shifted the compliance frontier from ex post dispute resolution to ex ante, systems-level design. Based on Strategic HRM, resource-based theory and psychological-contract theory, it constructs a conceptual framework where legal requirements are viewed as not constraints but enablers, and shaping forces that organise HR routines throughout the talent lifecycle (selection, evaluation, voice, remedy). This model applies to enforcement paths in common-law and civil-law jurisdictions and to the underwriting rationale of employment practices liability insurance (EPLI), demonstrating how compliance-by-design lowers loss volatility, enhances procedural trust, and enhances measurable results. The governance mechanisms bias testing refines explainability with human oversight, proportional monitoring, status audits, grievance service levels, and supply-chain due diligence that transforms mandates into auditable capabilities, using comparative policy analysis and practitioner evidence. It ends with suggestions to policy makers, regulators, HR managers, and insurers, as a research programme on how particular legal design characteristics (e.g., explanation rights, logging obligations) relate to the quality of decisions, fairness, and dispute resolution. Placed at the nexus of law, management, and risk financing, the paper illustrates the way rights-congruent HR structures create resilience, reputational capital, and insurability in multinational, digitally mediated workforces.
Article Details
Section

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.