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Human resource management research in healthcare: a big data bibliometric study
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 curr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696747/ http://dx.doi.org/10.1186/s12960-023-00865-x |
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author | Qin, Xiaoping Huang, Yu-Ni Hu, Zhiyuan Chen, Kaiyan Li, Lin Wang, Richard Szewei Wang, Bing-Long |
author_facet | Qin, Xiaoping Huang, Yu-Ni Hu, Zhiyuan Chen, Kaiyan Li, Lin Wang, Richard Szewei Wang, Bing-Long |
author_sort | Qin, Xiaoping |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10696747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106967472023-12-06 Human resource management research in healthcare: a big data bibliometric study Qin, Xiaoping Huang, Yu-Ni Hu, Zhiyuan Chen, Kaiyan Li, Lin Wang, Richard Szewei Wang, Bing-Long Hum Resour Health Research 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. BioMed Central 2023-12-05 /pmc/articles/PMC10696747/ http://dx.doi.org/10.1186/s12960-023-00865-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Qin, Xiaoping Huang, Yu-Ni Hu, Zhiyuan Chen, Kaiyan Li, Lin Wang, Richard Szewei Wang, Bing-Long Human resource management research in healthcare: a big data bibliometric study |
title | Human resource management research in healthcare: a big data bibliometric study |
title_full | Human resource management research in healthcare: a big data bibliometric study |
title_fullStr | Human resource management research in healthcare: a big data bibliometric study |
title_full_unstemmed | Human resource management research in healthcare: a big data bibliometric study |
title_short | Human resource management research in healthcare: a big data bibliometric study |
title_sort | human resource management research in healthcare: a big data bibliometric study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696747/ http://dx.doi.org/10.1186/s12960-023-00865-x |
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