<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">economica</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая наука сегодня</journal-title><trans-title-group xml:lang="en"><trans-title>Economic Science Today</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2309-6667</issn><publisher><publisher-name>Белорусский национальный технический университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21122/2309-6667-2026-23-108-121</article-id><article-id custom-type="elpub" pub-id-type="custom">economica-92</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>МИРОВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>WORLD ECONOMY</subject></subj-group></article-categories><title-group><article-title>Практики и эффективность модульной цифровой трансформации HR: продольное исследование крупного китайского производственного предприятия (компания M)</article-title><trans-title-group xml:lang="en"><trans-title>Practices and effectiveness of modular hr digital transformation: a longitudinal case study of a large chinese manufacturing enterprise (company M)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3586-0516</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жудро</surname><given-names>М. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhudro</surname><given-names>M. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михаил Кириллович Жудро, доктор экономических наук, профессор, профессор кафедры</p><p>кафедра «Экономика и логистика имени члена-корреспондента Национальной академии наук Беларуси, доктора экономических наук, профессора Р. Б. Ивутя»</p><p>220013; пр. Независимости, 65; Минск</p></bio><bio xml:lang="en"><p>Michael K. Zhudro, Doctor of Economic Sciences, Professor, Professor at the Department</p><p>Department of Economics and Logistics named after Correspondent Member of the National Academy of Sciences of Belarus, Doctor of Economical Sciences, Professor R. B. Ivuts</p><p>220013; Nezavisimosti Ave., 65; Minsk</p></bio><email xlink:type="simple">nv_mk@bntu.by</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-2061-6985</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Цзыци</surname><given-names>Лю</given-names></name><name name-style="western" xml:lang="en"><surname>Ziqi</surname><given-names>Liu</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лю Цзыци, аспирант</p><p>220004; ул. Обойная, 7; Минск</p></bio><bio xml:lang="en"><p>Liu Ziqi, Postgraduate</p><p>220004; Oboynaya Str., 7; Minsk</p></bio><email xlink:type="simple">8610084@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Белорусский национальный технический университет</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>Belarusian National Technical University</institution><country>Belarus</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Институт бизнеса Белорусского государственного университета</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>School of Business of Belarusian State University</institution><country>Belarus</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>06</day><month>07</month><year>2026</year></pub-date><volume>0</volume><issue>23</issue><fpage>108</fpage><lpage>121</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Жудро М.К., Цзыци Л., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Жудро М.К., Цзыци Л.</copyright-holder><copyright-holder xml:lang="en">Zhudro M.K., Ziqi L.</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://economica.ejournal.by/jour/article/view/92">https://economica.ejournal.by/jour/article/view/92</self-uri><abstract><p>   В исследовании на примере компании М – крупного китайского традиционного производственного концерна – анализируются проблемы, возникающие при цифровой трансформации управления персоналом. Несмотря на масштабы деятельности и брендовые преимущества в отрасли, компания М сталкивается с системными трудностями при реализации стратегии цифровизации управления персоналом, основными из которых являются нехватка кадров, обладающих цифровыми компетенциями в сфере HR, нечеткие траектории карьерного роста сотрудников, низкая эффективность офлайн-процессов основной деятельности и низкий уровень использования HR-систем. Исследование выполнено с применением комплекса методов: анализа научной литературы, продольного кейс-анализа и анкетирования. В работе системно обоснованы практические подходы к модульной цифровой реконструкции функций управления персоналом, включая формирование стандартизированной системы управления персоналом (классификация персонала, ролевые группы, иерархическое отображение) и создание интегрированной модульной цифровой платформы, объединяющей бизнес-управление, самообслуживание и бизнес-аналитику. Настоящее исследование не только обогащает теоретические разработки в области цифровой трансформации управления персоналом на традиционных производствах, но и предлагает практический механизм для преодоления управленческих ограничений аналогичными предприятиями и перехода функций управления персоналом от операционной обработки к стратегическому взаимодействию.</p></abstract><trans-abstract xml:lang="en"><p>   This study takes Company M, a large traditional manufacturing group in China, as a case to explore the challenges of digital transformation in human resource management. Despite its industrial scale and brand advantages, Company M faces systemic problems in promoting the digital strategy of human resources, including the shortage of HR digital talents, ambiguous career development pathways for employees, inefficient offline processes of core businesses, and low utilization rate of HR systems. Using a combination of literature research, longitudinal case study and questionnaire survey, this study systematically explores the practical pathways for modular digital reconstruction of human resource functions, including constructing a standardized human resource management framework (personnel classification, role clusters, hierarchical mapping) and building an integrated modular digital platform integrating business management, self-service and business intelligence analytics. This study not only enriches the theoretical research on digital transformation of human resources in traditional manufacturing industry, but also provides a practical framework for similar enterprises to break through management bottlenecks and promote the transformation of human resource functions from transactional processing to strategic collaboration.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>модульная цифровая реконструкция HR</kwd><kwd>традиционное производство</kwd><kwd>пути развития талантов</kwd><kwd>оптимизация бизнес-процессов</kwd><kwd>цифровая платформа</kwd></kwd-group><kwd-group xml:lang="en"><kwd>HR modular digital reconstruction</kwd><kwd>traditional manufacturing</kwd><kwd>talent development pathways</kwd><kwd>business process optimisation</kwd><kwd>digital platform</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено без дополнительного финансирования</funding-statement><funding-statement xml:lang="en">This research received no funding</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Лю Ц. (2026). От цифровизации к цифровому интеллекту: теоретическая концептуализация и разработка шкалы для интеллектуальной трансформации управления человеческими ресурсами в корпоративной среде. Экономика и банки. № 2. С. 66–72.</mixed-citation><mixed-citation xml:lang="en">Al-Kfairy M. (2025). Strategic integration of generative AI in organizational settings: Applications, challenges, and adoption requirements. IEEE Engineering Management Review. 53(6), 80–97. doi: 10.1109/EMR.2025.3534034</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Al-Kfairy M. (2025). Strategic integration of generative AI in organizational settings: Applications, challenges, and adoption requirements. IEEE Engineering Management Review. Vol. 53. No. 6. P. 80–97. doi: 10.1109/EMR.2025.3534034</mixed-citation><mixed-citation xml:lang="en">Battini D., Berti N., Finco S., Zennaro I., Das A. (2022). Towards industry 5.0: A multi-objective job rotation model for an inclusive workforce. International Journal of Production Economics. 250, 108619. doi: 10.1016/j.ijpe.2022.108619</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Battini D., Berti N., Finco S., Zennaro I., Das A. (2022). Towards industry 5.0: A multi-objective job rotation model for an inclusive workforce. International Journal of Production Economics. No. 250. Arl. 108619. doi: 10.1016/j.ijpe.2022.108619</mixed-citation><mixed-citation xml:lang="en">Berhil S., Benlahmar H., Labani N. (2020). A review paper on artificial intelligence at the service of human resources management. Indonesian Journal of Electrical Engineering and Computer Science. 18(1), 32–40. doi: 10.11591/ijeecs.v18.i1.pp32-40</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Berhil S., Benlahmar H., Labani N. (2020). A review paper on artificial intelligence at the service of human resources management. Indonesian Journal of Electrical Engineering and Computer Science. Vol. 18. No. 1. P. 32–40. doi: 10.11591/ijeecs.v18.i1.pp32-40</mixed-citation><mixed-citation xml:lang="en">Brynskov M., Facca F. M., Hrasko G. (2018). Next Generation Internet of Things. H2020 Coordination and Support Action (CSA). NGIoT Consortium. 2021, 2019.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Brynskov M., Facca F. M., Hrasko G. (2018). Next Generation Internet of Things. H2020 Coordination and Support Action (CSA). NGIoT Consortium. 2021, 2019.</mixed-citation><mixed-citation xml:lang="en">da Silva L. B. P., Soltovski R., Pontes J., Treinta F. T., Leitão P., Mosconi E., de Resende L. M. M., Yoshino R. T. (2022). Human resources management 4.0: Literature review and trends. Computers &amp; Industrial Engineering. 168, 108111. doi: 10.1016/j.cie.2022.108111</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">da Silva L. B. P., Soltovski R., Pontes J., Treinta F. T., Leitão P., Mosconi E., de Resende L. M. M., Yoshino R. T. (2022). Human resources management 4.0 : Literature review and trends. Computers &amp; Industrial Engineering. No. 168. Art. 108111. doi: 10.1016/j.cie.2022.108111</mixed-citation><mixed-citation xml:lang="en">Liu X., Guo P., Zhao J. (2025). From adaptation to transformation: how to stimulate leaders’ change-oriented organizational citizenship behaviors in project-based temporary organizations. Journal of Organizational Change Management. 38(1), 204–229. doi: 10.1108/JOCM-07-2024-0390</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Liu X., Guo P., Zhao J. (2025). From adaptation to transformation: how to stimulate leaders’ change-oriented organizational citizenship behaviors in project-based temporary organizations. Journal of Organizational Change Management. Vol. 38. No. 1. P. 204–229. doi: 10.1108/JOCM-07-2024-0390</mixed-citation><mixed-citation xml:lang="en">Liu Z. (2026). From digitalisation to digital intelligence: theoretical conceptualisation and scale development for intelligent transformation in corporate human resource management. Ekonomika i banki. 2, 66–72.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Moghaddam A. (2025). How the Viability Concept and Systemic Management Methodologies as the Three-Pillar Model Promote Sustainability. In The Sustainable Organization: How Organizations Address the 17 UN SDGs Using the 3-P-Model. Pp. 49–83. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-89549-4_4</mixed-citation><mixed-citation xml:lang="en">Moghaddam A. (2025). How the Viability Concept and Systemic Management Methodologies as the Three-Pillar Model Promote Sustainability. In The Sustainable Organization: How Organizations Address the 17 UN SDGs Using the 3-P-Model. 49–83. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-89549-4_4</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Qi C. (2025). The The Impact of Artificial Intelligence on High-Quality Development of Manufacturing Enterprises: A Cross-Disciplinary Perspective on Management and Technology. Current Science. Vol. 5, No. 5. P. 4369–4384. doi: 10.52845/CS/2025-5-5-5</mixed-citation><mixed-citation xml:lang="en">Qi C. (2025). The The Impact of Artificial Intelligence on High-Quality Development of Manufacturing Enterprises: A Cross-Disciplinary Perspective on Management and Technology. Current Science. 5(5), 4369–4384. doi: 10.52845/CS/2025-5-5-5</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Rinaldi M., Fera M., Bottani E., Grosse E. H. (2022). Workforce scheduling incorporating worker skills and ergonomic constraints. Computers &amp; Industrial Engineering, No. 168. Art. 108107. doi: 10.1016/j.cie.2022.108107</mixed-citation><mixed-citation xml:lang="en">Rinaldi M., Fera M., Bottani E., Grosse E. H. (2022). Workforce scheduling incorporating worker skills and ergonomic constraints. Computers &amp; Industrial Engineering. 168, 108107. doi: 10.1016/j.cie.2022.108107</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Sasidharakarnavar S. (2025). Revolutionizing Hr: Leveraging workday platform for enhanced work-force management. International Journal of AI, BigData, Computational and Management Studies. Vol. 6, No. 1. doi: 10.63282/3050-9416/IJAIBDCMS-V6I1P110</mixed-citation><mixed-citation xml:lang="en">Sasidharakarnavar S. (2025). Revolutionizing Hr: Leveraging workday platform for enhanced work-force management. International Journal of AI, BigData, Computational and Management Studies. 6, 1. doi: 10.63282/3050-9416/IJAIBDCMS-V6I1P110</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Sivathanu B., Pillai R. (2018). Smart HR 4.0–how industry 4.0 is disrupting HR. Human resource management international digest. Vol. 26, No. 4. P. 7–11. doi: 10.1108/HRMID-04-2018-0059</mixed-citation><mixed-citation xml:lang="en">Sivathanu B., Pillai R. (2018). Smart HR 4.0–how industry 4.0 is disrupting HR. Human resource management international digest. 26(4), 7–11. doi: 10.1108/HRMID-04-2018-0059</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Sokolov D. A. (2025). Cognitive Multi-Cloud ERP Architecture AI-Governed Integration of SAP S4HANA, Apache Frameworks, and Sensor Networks for Environmental and Cancer Health Intelligence. International Journal of Engineering &amp; Extended Technologies Research (IJEETR). Vol. 7, No. 6. P. 10930–10936. doi: 10.15662/IJEETR.2025.0706006</mixed-citation><mixed-citation xml:lang="en">Sokolov D. A. (2025). Cognitive Multi-Cloud ERP Architecture AI-Governed Integration of SAP S4HANA, Apache Frameworks, and Sensor Networks for Environmental and Cancer Health Intelligence. International Journal of Engineering &amp; Extended Technologies Research (IJEETR). 7(6), 10930–10936. doi: 10.15662/IJEETR.2025.0706006</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Sugiana I., Koni A., Kurniawan W. (2024). Improving The Capital Management System for Micro Small And Medium Enterprises On The Quality Of Human Resources. International Journal of Economics, Management and Accounting (IJEMA). Vol. 2, No. 4. P. 487–494. doi: 10.47353/ijema.v2i4.193</mixed-citation><mixed-citation xml:lang="en">Sugiana I., Koni A., Kurniawan W. (2024). Improving The Capital Management System for Micro Small and Medium Enterprises On The Quality Of Human Resources. International Journal of Economics, Management and Accounting (IJEMA). 2(4), 487–494. doi: 10.47353/ijema.v2i4.193</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wang H., Wang H. (2026). Optimisation method for human resource scheduling in manufacturing industry based on decision tree algorithm. International Journal of Manufacturing Technology and Management. Vol. 40. P. 60–77. doi: 10.1504/IJMTM.2026.151517</mixed-citation><mixed-citation xml:lang="en">Wang H., Wang H. (2026). Optimisation method for human resource scheduling in manufacturing industry based on decision tree algorithm. International Journal of Manufacturing Technology and Management. 40(1-2), 60–77. doi: 10.1504/IJMTM.2026.151517</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
