Human resource management research in healthcare: a big data bibliometric study

• Main Authors: Xiaoping Qin (Author), Yu-Ni Huang (Author), Zhiyuan Hu (Author), Kaiyan Chen (Author), Lin Li (Author), Richard Szewei Wang (Author), Bing-Long Wang (Author)
• Format: Book
• Published: BMC, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12960-023-00865-x; 1478-4491
• Keywords: Human Resource Management; HRM; Big Data; Bibliographic analysis; Health Trends; Healthcare; Medicine (General); R5-920; Public aspects of medicine; RA1-1270
• Source: Human Resources for Health, Vol 21, Iss 1, Pp 1-11 (2023)

Abstract Human resource management (HRM) in healthcare is an important component in relation to the quality and efficiency of healthcare delivery. However, a comprehensive overview is lacking to assess and track the current status and trends of HRM research in healthcare. This study aims to describe the current situation and global trends in HRM research in healthcare as well as to indicate the frontiers and future directions of research. The research methodology is based on bibliometric mapping using scientific visualization software (VOSviewer). The data were collected from the Web of Science(WoS) core citation database. After applying the search criteria, we retrieved 833 publications, which have steadily increased over the last 30 years. In addition, 93 countries and regions have published relevant research. The United States and Australia have made significant contributions in this area. Current research articles focus on topics clustered into performance, hospital/COVID-19, job satisfaction, human resource management, occupational/mental health, and quality of care. The most frequently co-occurring keywords are human resource management, job satisfaction, nurses, hospitals, health services, quality of care, COVID-19, and nursing. There is limited research on compensation management and employee relations management, so the current HRM research field still has not been able to present a complete and systematic roadmap. We propose that our colleagues should consider focusing on these research gaps in the future.