A Review of VIDURON – The Ethical Human Resource Management System
VIDURON – The Ethical Human Resource Management System – is an advanced, integrated, and ethically driven HR platform developed to streamline and automate diverse human resource operations while upholding principles of fairness, transparency, and organizational integrity. It addresses key challenges faced by HR departments, including accurate employee data management, compliance with labour regulations, unbiased performance evaluation, equitable resource allocation, and effective employee communication. The system encompasses multiple interlinked modules such as recruitment and onboarding, attendance and leave tracking, payroll processing, performance appraisal, training and development, and grievance management—each meticulously designed to ensure accuracy, accountability, and ethical governance. VIDURON leverages secure databases, role-based access control, encryption mechanisms, and audit trails to protect sensitive employee data while maintaining transparency in decision-making. Its advanced analytics and AI-powered insights enable HR professionals to monitor workforce trends, identify skill gaps, measure engagement, and make informed, data-backed decisions that foster trust and equity. Automated workflows minimize administrative burdens, reduce manual errors, and ensure consistent policy application across the organization. The platform further embeds features like bias-free performance assessments, transparent payroll structures, real-time dashboards, compliance tracking, and instant reporting tools that collectively strengthen organizational integrity. By merging technological innovation with ethical HR values, VIDURON not only enhances operational efficiency but also promotes a culture of fairness, accountability, and employee well-being, ultimately positioning itself as a comprehensive, scalable, and sustainable solution for modern enterprises striving to balance productivity with ethical human resource management.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-06
- DOI
- https://doi.org/10.5281/zenodo.17544552
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00