Управленец

2218-5003

2686-7923

10.29141/2218-5003-2025-16-6-6

GXZMKR

https://upravlenets.usue.ru/ru/-2025/1769

Экономика и управление синдромом выгорания сотрудников: результаты тематического моделирования

The economics and management of job burnout: The results of topic modelling

Молодчик

Мария Анатольевна

Молодчик

Мария Анатольевна

Molodchik

Maria A.

mmolodchik@hse.ruМаткин

Никита Андреевич

Маткин

Никита Андреевич

Matkin

Nikita A.

namatkin@hse.ru

HSE University (Perm, Russia)Высшая школа экономики (г. Пермь, РФ)

16012026

166891051610202503122025

CC BY-NC 4.0

Распространение синдрома выгорания снижает продуктивность сотрудников, что негативно сказывается на мировой экономике. Исследование направлено на анализ научной литературы в области экономики и управления синдромом выгорания сотрудников с целью выявления ключевых тематических направлений и формирования повестки будущих исследований. Работа построена на изучении более 650 публикаций, посвященных синдрому выгорания в сфере бизнеса, экономики и теории принятия решений. Использован метод тематического моделирования на основе инструмента BERTopic, а также последующий качественный анализ тем. В результате выявлено 14 тематических направлений, которые концентрируются вокруг трех больших групп: общие вопросы, специфические вопросы, отраслевые аспекты. Наибольшее количество статей посвящено теме предпосылок и последствий выгорания в образовании. Исследователи придерживаются трех теоретических рамок: требования и ресурсы в работе, сохранение ресурсов и многомерная модель выгорания. Наибольшее академическое влияние оказывает изучение фундаментальных механизмов выгорания, но возрастает актуальность проблемы цифровизации. Исследования демонстрируют, что выгорание возникает из-за дисбаланса ресурсов и требований. Меры по предотвращению данного синдрома должны быть многоуровневыми и направлены на усиление индивидуальных, рабочих и организационных ресурсов. Выявленные темы структурируются вокруг академических, географических и отраслевых кластеров, что обусловливается социальной и экономической повесткой.

Job burnout, becoming increasingly widespread lately, reduces employee productivity, which has an adverse impact on global economy. The article presents an analysis of academic publications on the economics and management of job burnout, reveals key topics and shapes the agenda for future research. It builds on a review of over 650 scholarly works addressing burnout syndrome within business, economics, and decision-making theory. Topic modelling based on the BERTopic tool was applied, followed by a subsequent qualitative analysis of the identified themes. We distinguish between 14 topics categorized into three groups: general issues, specific issues, and industry-specific aspects. Most publications focus on the prerequisites and outcomes of burnout in the field of education. Experts adhere to three theoretical frameworks: job demands and resources, conservation of resources, and the multidimensional model of burnout. Research into fundamental burnout mechanisms is of the greatest academic influence, though there is a growing relevance of digitalization issues. According to the studies reviewed, job burnout arises from the imbalance between resources and demands. Measures to prevent this syndrome should be multi-level and aimed at strengthening individual, work-related, and organizational resources. The identified topics revolve around academic, geographical, and industry-specific clusters, which is attributable to the dominant social and economic discourse.

синдром выгорания;управление синдромом выгорания;экономические последствия выгорания;фундаментальные механизмы;тематическое моделирование;BERTopic.

burnout;burnout management;economic burden of burnout;fundamental mechanisms;topic modelling;BERTopic

Исследование выполнено за счет гранта Российского научного фонда № 25-18-01037 «Синдром профессионального выгорания: диагностика с использованием методов ИИ и оценка экономических эффектов» (https://rscf. ru/project/25-18-01037/).

This research was prepared with the financial support of the Russian Science Foundation, project no. 25-18-01037 “Burnout syndrome: Diagnosis using AI methods and assessment of economic impacts” (https://rscf.ru/project/25-18-01037/).

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