A Study on the Impact of Intelligent Systems on Human Resource Management

Abstract

This research delves into the integration and impact of intelligent systems in the realm of Human Resource Management (HRM). Intelligent systems enhance HRM by streamlining processes like recruitment, automating repetitive tasks, and providing data-driven insights for decision-making. AI facilitates efficient candidate screening, identifies training needs, and predicts employee performance. As organizations strive for efficiency and effectiveness in their workforce management, the adoption of artificial intelligence (AI) and machine learning (ML) technologies has become increasingly prevalent. This study aims to investigate the utilization of intelligent systems in key HRM domains such as recruitment, employee engagement, and decision-making processes. The swift rise in digitization, coupled with the increasing adoption of Artificial Intelligence (AI), is transforming the business landscape. The integration of Information Technologies with Human Resource Management (HRM) has led to enhanced efficiency, influenced service delivery, established standardization, empowered managers, and revolutionized HR functions. The research methodology involves a comprehensive literature review and examining the implementation of intelligent systems in diverse organizational settings. The findings of this study aim to contribute valuable insights to companies, shedding light on the evolving landscape of HRM through the lens of intelligent systems. By understanding the challenges, benefits, and implications associated with the integration of AI in HRM, organizations can make informed decisions to enhance their human resource practices.