The role of innovations in enhancing the efficiency of personnel selection in an enterprise

Abstract

The relevance of the research is driven by the need to modernize human resource management systems in the context of the digital transformation of business processes and the labor market, which is characterized by growing competition for talent, dynamic workforce demands, and the exponential increase in data requiring rapid processing in decision-making. These factors reduce the effectiveness of traditional recruitment approaches and necessitate intelligent tools. Integrating artificial intelligence (AI) into HR processes is recognized as one of the key vectors of innovative development for modern enterprises. The article aims to substantiate the potential of AI as a tool for enhancing the effectiveness of personnel selection by analyzing its practical application in automated candidate search, professional suitability assessment, employee onboarding, and integration into production environments. The research methodology is based on a systematic analysis of current AI-based HR solutions, generalization of case studies from leading Ukrainian and international companies, logical-structural methods, and elements of critical evaluation of algorithmic models. The results confirm that AI supports the automation of resume screening and candidate filtering, increases the accuracy of assessments, and improves onboarding efficiency through personalized learning and adaptive monitoring. The conclusions highlight the high practical potential of AI in recruitment while identifying key limitations such as algorithmic bias, model opacity, infrastructural immaturity, and insufficient algorithmic literacy among HR professionals. A step-by-step implementation model is proposed, considering ethical, legal, and organizational factors. Future research should focus on assessing the role of explainable AI in fostering trust in automated HR decisions and evaluating the long-term impact of AI platforms on employee retention and the development of individualized career paths.