Resilience and Stress at Professional Work: Analysis of the Research Landscape and Public Interest
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Notice bibliographique
Résumé
Stress has a negative impact on the efficiency and productivity of employees and, accordingly, brings additional costs or losses to companies. A company’s proactive role in ensuring its employees’ resilience to stress in the workplace is crucial in creating an effective working environment and reducing staff turnover. The article analyses the scientific environment (using Descriptive bibliometric analysis and Science Mapping) and public interest (using Google Trends) in resilience and stress at professional work and in management in this area. The bibliometric analysis was conducted using VOSviewer based on publications from the Scopus database (Elsevier) without restrictions on the year of publication, country, author, language and category; the trend analysis was conducted for the period 2004‒2024 for all categories and countries, all Internet traffic was restricted to “Web searches”. The study showed a steady increase in Internet searches for the concept of “resilience training”, with peaks in 2004 and 2005 (coinciding with known terrorist attacks); interest in the query “resilience at professional work” is highest in the United States and the United Kingdom, and 12 leading countries were identified for the query “stress at professional work”. The dynamics of scientific papers in this area are described in the article by a 3rd-degree polynomial dependence equation with a determination coefficient of R² = 0.9676; a significant surge in publication activity occurred in 2014, with the number of papers increasing by 472% and an annual growth rate of 20% in 2014‒2024. The dominant subject areas of these publications are medicine (34.50%), social sciences (15.08%) and psychology (14.47%); countries are the USA, the UK, Australia, Canada, and China. The article identifies scientists who are leaders of scientific thought in this area, the most developed research networks, authoritative publications and journals (based on citation analysis), the most powerful international and national institutions that have funded research in this area (among the world leaders are the US National Institutes of Health and the US Department of Defence). The article structures the scientific work in this area: 1) based on the content and contextual feature, nine thematic clusters are identified, the most significant of which is the one that studies stress at work and professional burnout from a medical point of view; 2) based on the content and chronological feature, the most significant number of works were those on the human factor and gender issues of stress and resilience published in 2017‒2018.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle