AI-Driven e-HRM Strategies: Transforming Employee Performance and Organizational Productivity

Abstract

This study examines the transformative impact of artificial intelligence (AI) integration in e-HRM (e-HRM) on improving employee performance and organizational productivity. The study explores the innovative applications of artificial intelligence in e-HRM and its profound impact on HR practices and employee development. The main goal is to find out how artificial intelligence-based e-HRM change traditional HR processes, focusing mainly on their impact on employee performance indicators and overall organizational efficiency. By analyzing the integration of AI and HR, this study illuminates the complexity of this technological fusion and its impact on modern workplaces. The descriptive analytical strategy was employed in the study to attain the research objectives by utilizing primary and secondary data. A structured questionnaire was prepared and disseminated on employees of the study organization, and then analysed using SPSS techniques such as Pearson Correlation, Cronbach Alpha coefficient, simple and multiple regressions to assess the study hypotheses. The study created a literature review that addressed the main subtopics linked with computerised HRM and its relationship to employee performance. Finally, the study's major findings demonstrated that the AI-Driven e-HRM system components had a considerable positive effect on improving various HRM practises, and that AI-Driven e-HRM helps organisations achieve their goals and develop their employees.

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