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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">economyprom</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика промышленности / Russian Journal of Industrial Economics</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Industrial Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-1633</issn><issn pub-type="epub">2413-662X</issn><publisher><publisher-name>MISIS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2072-1633-2026-2-1548</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-1548</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Экономика предприятий</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Business economics</subject></subj-group></article-categories><title-group><article-title>Методологические основы разработки цифрового двойника работника предприятия</article-title><trans-title-group xml:lang="en"><trans-title>Methodological basis for the development of a digital twin of an employee of the company</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6535-6727</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Орлова</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Orlova</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Екатерина Владимировна Орлова – доктор технических наук, профессор кафедры экономики предпринимательства, профессор кафедры биомедицинской инженерии</p><p>450076, Уфа, ул. Заки Валиди, д. 32</p></bio><bio xml:lang="en"><p>Ekaterina V. Orlova – Dr.Sci. (Eng.), Professor, Department of Economics of Entrepreneurship, Department of Biomedical Engineering</p><p>32 Zaki Validi Str., Ufa 450076</p></bio><email xlink:type="simple">ekorl@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уфимский университет науки и технологий</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Ufa University of Science and Technology</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>28</day><month>06</month><year>2026</year></pub-date><volume>19</volume><issue>2</issue><fpage>185</fpage><lpage>196</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Орлова Е.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Орлова Е.В.</copyright-holder><copyright-holder xml:lang="en">Orlova E.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ecoprom.misis.ru/jour/article/view/1548">https://ecoprom.misis.ru/jour/article/view/1548</self-uri><abstract><p>В условиях цифровой трансформации, инновационных изменений и возрастающей неопределенности для обеспечения высокого уровня экономического роста и устойчивого развития экономики возрастает значимость и роль человеческого капитала. Активное использование знаний, когнитивных и креативных способностей человека в качестве основы социально-экономического и технологического развития становится особенностью нового технологического уклада и интеллектуальной экономики. Рассмотрена проблема разработки цифрового двойника работника для целей управления человеческим капиталом предприятия. Предложен подход к построению цифрового двойника работника предприятия, который представляет собой цифровую модель, характеризующую его профиль и поведение на рабочем месте при реализации профессиональных задач, и включает личностные, социальные и поведенческие характеристики работника. Цифровой двойник связан с концепцией индивидуального человеческого капитала как личностных, профессиональных и социальных ресурсов человека, которые определяют его производительность на рабочем месте и могут стать источником дохода. Цифровой двойник работника включает модель оценки человеческого капитала и модель управления индивидуальными карьерными траекториями. Первая модель предназначена для его измерения на основе характеристик качества здоровья, профессиональных и надпрофессиональных компетенций, мотивированности и социальных навыков. Вторая модель использует алгоритмы машинного обучения с подкреплением, формирует оптимальный режим управления и представляет собой последовательный набор программных мероприятий (управленческих решений), направленных на развитие работника с учетом его изменяющихся индивидуальных характеристик. Практическую значимость имеют результаты внедрения цифрового двойника работника, позволяющие в кратчайшие сроки повысить производительность работников и эффективность функционирования предприятия в целом.</p></abstract><trans-abstract xml:lang="en"><p>In the context of digital transformation, innovation changes and the growing uncertainty, the significance and role of the human capital are growing to ensure the high level of the economic growth and sustainable development of the economics. The active use of know ledge, human cognitive and creative abilities as the basis of socio-economic and technological development is becoming a feature of the new technological order and intellectual economics. The article deals with the problem of developing an employee’s digital twin to manage the human capital of a company. The author suggests an approach to creating a digital twin of the company employee which is a digital model that characterizes their profile and behaviour at the workplace while fulfilling professional tasks and includes personal, social and behavioral characteristics of the employee. The digital twin is associated with the concept of individual human capital as a person’s personal, professional and social resources that determine their productivity in the workplace and can become a source of income.  The digital twin of an employee involves a human capital assessment model and a management model for individual career paths. The human capital assessment model is designed to measure it based on the characteristics of health quality, professional and supra-professional competencies, motivation and social skills. The management model uses machine learning algorithms with reinforcement, creates the optimal control mode and represents a consistent set of programmatic measures (management decisions) aimed at employee development, taking into account his changing individual characteristics. The results of the introduction of an employee’s digital twin are of high practical importance, as they make it possible to increase employees’ productivity and the efficiency of the enterprise as a whole in the shortest possible time.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>интеллектуальная экономика</kwd><kwd>цифровой двойник работника</kwd><kwd>человеческий капитал</kwd><kwd>измерение человеческого капитала</kwd><kwd>управление человеческим капиталом</kwd><kwd>машинное обучение с подкреплением</kwd></kwd-group><kwd-group xml:lang="en"><kwd>intellectual economy</kwd><kwd>digital twin of an employee</kwd><kwd>human capital</kwd><kwd>measurement of human capital</kwd><kwd>human capital management</kwd><kwd>machine learning with reinforcement</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Боровков А.И. 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