Emotional labour in nursing research: A bibliometric analysis

Abstract Aim This study aims to conduct a comprehensive bibliometric analysis to explore the trajectory and thematic developments of emotional labour research in nursing. Design Utilizing descriptive and bibliometric analysis techniques. Methods The data analysis and graphical presentation were conducted using the Bibliometrix Package in R software. Data Sources The Web of Science Core Collection (WoSCC) database was searched on October 20, 2023. Results From 1992 to 2023, 842 authors published relevant articles, yielding 779 author keywords. There has been a general upward trend in the number of articles published over the past 30 years, with an annual growth rate of 11.71%. Keyword co‐occurrence cluster analysis revealed the main focus areas of research on emotional labour antecedents and consequences, regulatory modalities, training and education, as well as research methods and application scenarios. Conclusion Emotional labour significantly influences nursing staff's well‐being and patient care outcomes. Effective management and education regarding emotional labour are crucial for enhancing nursing staff performance and patient care quality. Future research should focus on long‐term effects, training efficacy, regulatory strategies across clinical settings, and innovative approaches to address current challenges. Impact This study provides valuable insights into the unique trajectory and thematic developments of emotional labour research in nursing. The findings underscore the importance of addressing emotional labour in nursing practice and education to improve patient care outcomes and nursing staff well‐being. Reporting Method Adherence to recognized bibliometric reporting methods, following relevant EQUATOR guidelines. No Patient or Public Contribution This study is based solely on existing literature and did not involve patients or the public in its design, conduct, analysis, interpretation, or preparation.