Using artificial intelligence to optimize human resource management processes

Abstract

Incorporating technology into human resource management is at an advanced stage and is revolutionizing the existing environment of human resources. The study examines how human resource management processes can be optimized using artificial intelligence. A survey research design is employed by administering a questionnaire to the participants. The study population comprises employees of top HR outsourcing firms in five different cities in Ukraine. The stratified purposive sampling technique was deployed in drawing samples from the five cities using Raosoft sample size calculator, which gives a sample size of one hundred and sixteen (116) participants. Data collection was achieved with structured questionnaires to provide answers to research questions. We employed descriptive analysis of tables and regression analysis. The result revealed that efficiency at work can be improved with artificial intelligence in human resource management and decision-making. Also, artificial intelligence is germane to the process of human resource management. However, artificial intelligence suffers limitations in the areas of ethical consideration.