Автоматизация управления персоналом: систематический обзор научных публикаций
EDN SLJIHO
DOI:
https://doi.org/10.22394/2304-3369-2025-1-57-79Аннотация
Введение. Автоматизация в области работы с персоналом является одним из способов увеличить эффективность как службы по управлению человеческими ресурсами, так и организации в целом. Целью проведения систематического обзора является анализ развития научной мысли в области автоматизации управления персоналом за последние 5 лет (с 2019 по 2024 годы).
Методология и методы. При подготовке обзора учитывались рекомендации PRISMA (2020). В качестве базы данных для анализа использовалась платформа OpenAlex. Поиск осуществлялся по ключевым словам – hr human resources automation, в периметр анализа были включены только научные статьи. В исходную выборку для проведения количественного анализа включены 3727 статьи, при этом учитывались продуктивность авторов статей, использование и взаимосвязь ключевых слов. Для анализа и предоставления результатов использовался пакет bibliometrix для языка программирования R (на основании интерфейса biblioshiny). Для проведения качественного анализа на основании тематического соответствия, содержания и наличия в базе данных Scopus были отобраны 46 работ по 5 основным тематическим направлениям публикаций с наибольшей численностью работ. Доступность отобранных для анализа материалов различается и определяется политикой публикующего журнала/ условиями публикации конкретной статьи.
Результаты. Зафиксирован рост количества публикаций по исследуемой теме, выделены наиболее популярные направления исследований: индустрия 4.0 и цифровая трансформация, аналитика в области управления человеческими ресурсами, подходы в области управления персоналом (использование ключевых показателей эффективности, подбор, развитие персонала). Много внимания в рассмотренных работах уделяется потенциалу использования генеративных языковых моделей (подобных ChatGPT) и влиянию автоматизации производственного процесса на работу по управлению персоналом; подчеркивается важность сохранения фокуса на развитии человеческого капитала компаний. Среди сложностей, с которыми приходится сталкиваться организациям, отмечается нехватка профильных компетенций у сотрудников, финансовые издержки при внедрении новых решений и риски нарушения этических норм.
Обсуждение. Дальнейшего изучения требует развитие практик управления персоналом под влиянием технологических изменений. В качестве ограничений обзора можно указать возможную неполноту базы данных, использовавшейся для обзора статей, а также субъективность суждений автора в части отбора и проведения качественного анализа статей.
КЛЮЧЕВЫЕ СЛОВА
Автоматизация, управление персоналом, человеческий капитал, цифровизация, искусственный интеллект.
Библиографические ссылки
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REFERENCES
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22. Grabowska, S., Saniuk, S. (2022). Assessment of the competitiveness and effectiveness of an open business model in the industry 4.0 environment. Journal of Open Innovation: Technology, Market, and Complexity, 8 (1), 57. https://doi.org/10.3390/joitmc8010057. https://elibrary.ru/dqdenm.
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24. Priyashantha, G., Chandradasa, A.H.I. (2023) Electronic human resource management (e-HRM) adoption; a systematic literature review. Sri Lanka Journal of Social Sciences, 46 (1). https://doi.org/10.4038/sljss.v46i1.8573. https://elibrary.ru/efynpi.
25. Prasad, K., Nag, D., Kalavakolanu, S., Vaidya, R. (2023) The application of human resources information systems for enhancing output in agricultural companies. Journal of Social Economics Research, 10 (4), 179–193. https://doi.org/10.18488/ 35.v10i4.3521. https://elibrary.ru/aoznkn.
26. Bhatia, A., Nangia, R. (2023) Impact of human resources information system on human resource strategies with empirical study of banking industry. Journal of Pharmaceutical Negative Results, 1034–1037. https://doi.org/10.47750/pnr.2023.14.S01.140. https://elibrary.ru/fscrkz.
27. Boiko, Ju., Vedernikov, M., Zelena, M., Volianska-Savchuk, L., Bazaliyska, N. (2023) Formation of Innovative Model of Personnel Management on the Basis of Digitalization in the COVID-19 Pandemic. Management and Production Engineering Review, 14. https://doi.org/10.24425/mper.2023.146022. https://elibrary.ru/xziezq.
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