dtЦифровая трансформацияDigital Transformation2522-96132524-2822Educational Establishment “Belarusian State University of Informatics and Radioelectronics”10.35596/1729-7648-2024-30-4-23-32dt-880Research ArticleЭКОНОМИЧЕСКИЕ НАУКИ, ОБРАЗОВАНИЕECONOMIC SCIENCES, EDUCATIONИспользование больших данных при анализе рынка труда: теоретические подходы и методические инструментыUsing Big Data in Labor Market Analysis: Theoretical Approaches and Methodological ToolsВанкевичЕ. В.VankevichA. V.

Ванкевич Елена Васильевна, д-р экон. наук, проф., проректор по научной работе

210039, г. Витебск, просп. Московский, 72

Vankevich Alena Vasilievna, Dr. of Sci. (Econ.), Professor, ViceRector for Research

210039, Vitebsk, Moskovsky Ave., 72

vankevich_ev@tut.byКалиновскаяИ. Н.KalinouskayaI. N.

Калиновская И. Н., канд. техн. наук, доц. каф. экономики и электронного бизнеса

Kalinouskaya I. N., Cand. of Sci., Associate Professor at the Department of Economics and Electronic Business

Витебский государственный технологический университетБеларусьVitebsk State Technological UniversityBelarus2024041220243042332Copyright © Ванкевич Е.В., Калиновская И.Н., 20242024Ванкевич Е.В., Калиновская И.Н.Vankevich A.V., Kalinouskaya I.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://dt.bsuir.by/jour/article/view/880

Рассмотрена возможность использования технологий больших данных и больших языковых моделей для анализа рынка труда в Республике Беларусь. Разработаны теоретические подходы с применением больших данных, что подразумевает определение как возможности в проведении аналитики рынка труда по данным онлайн-источников, так и эффективных инструментов для сбора и обработки информации о рынке труда с онлайн-источников. Применение больших данных и больших языковых моделей позволит улучшить качество и точность анализа рынка труда в республике, а использование передовых аналитических инструментов обеспечит более полное и детализированное понимание динамики рынка труда. Исследование основывается на анализе существующих теоретических подходов, практике использования больших данных и больших языковых моделей в зарубежных странах, а также на оценке текущих возможностей и ограничений применения этих технологий в Беларуси. В качестве инструментария использовались методы машинного обучения, анализа больших данных и моделирования. Результаты исследования могут быть применены для улучшения стратегий управления рынком труда, а также для разработки политик и программ занятости, ориентированных на современные вызовы и возможности цифровой экономики.

The article considers the possibility of using big data technologies and large language models to analyze the labor market in the Republic of Belarus. Theoretical approaches using big data have been developed, which implies determining both the possibility of conducting labor market analytics using online sources and effective tools for collecting and processing information on the labor market from online sources. The use of big data and large language models will improve the quality and accuracy of labor market analysis in the republic, and the use of advanced analytical tools will provide a more complete and detailed understanding of the labor market dynamics. The study is based on the analysis of existing theoretical approaches, the practice of using big data and large language models in foreign countries, as well as an assessment of the current capabilities and limitations of using these technologies in Belarus. Machine learning, big data analysis and modeling were used as tools. The results of the study can be used to improve labor market management strategies, as well as to develop employment policies and programs focused on modern challenges and opportunities of the digital economy.

большие данные (Big Data)рынок трудаанализ данныхзанятостьбольшие языковые модели (LLM)машинное обучениеискусственный интеллектвакансиирезюмецифровая экономикаинструменты аналитикиBig Datalabor marketdata analysisemploymentbig language models (LLM)machine learningartificial intelligencevacanciesresumesdigital economyanalytics toolsИсследование выполнено в рамках научно-исследовательской работы «Теоретические подходы и методическое обеспечение анализа рынка труда в Республике Беларусь с применением больших данных» при финансовой поддержке Белорусского фонда фундаментальных исследований по договору Г24-013.The research was carried out within the framework of the research work “Theoretical approaches and methodological support for the analysis of the labor market in the Republic of Belarus using big data” financed by the Belarusian Republican Foundation for Fundamental Research under contract Г24-013.ReferencesMezzanzanica, M. 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The authors declare that there are no conflicts of interest present.