The state of development of information technology decision-making support in management human resources
DOI:
https://doi.org/10.31498/2225-6733.50.2025.336253Keywords:
human resource management, GPT, Deep Learning, NLP, decision support, big data analysis, virtual assistantAbstract
The research is related to the development of information technologies designed to improve the efficiency and effectiveness of decision-making processes in the field of human resource management. Effective human resource management is a critical aspect of modern organisations, as it plays a key role in determining their competitiveness and long-term success. The emergence of big data has challenged HR professionals to effectively navigate through huge amounts of information. This information includes data sourcing, selection, communication and interaction with candidates and employees. The integration of information technology into human resource management processes has the potential to automate routine business tasks and simplify decision-making processes, especially when these decisions are based on conclusions drawn from the analysis of a complex set of data from various sources. The article presents a comprehensive overview of methods of applying modern artificial intelligence algorithms to analyse structured and unstructured data that are typical for human resource management. The article explores the potential of generative models of artificial intelligence (GPT and BERT), deep learning and natural language processing for decision support. The article considers the possibility of integrating personal qualities of candidates into the assessment of their suitability for vacant positions by applying deep learning methods. The authors propose to use a combination of ap-approaches in the development of information technologies to achieve greater automation of the processes of candidate selection, resume analysis, communication with candidates and personalisation of interaction
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