Year: 2024
Type: article
Abstract: Human Resource Information Systems (HRIS) have emerged as critical tools in managing workforce dynamics, integrating functionalities such as payroll, employee engagement, and workforce analytics. Despite advancements, achieving scalability, real-time data processing, and seamless integration remains a challenge. This research explores scalable HRIS architectures, focusing on AI-driven insights, robust CI/CD pipelines, and multi-modal trust frameworks to enhance workforce optimization. Using Jenkins and Kubernetes for deployment, the study demonstrates improved operational efficiency, reduced downtime, and enhanced employee satisfaction. Quantitative and qualitative analyses validate the effectiveness of these architectures, offering a blueprint for future HRIS developments.
Author: Rajender Bhukya -
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405622598