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Special Topics: Managing HR for Innovation, HR in Public Service, Work Redesign, and Well-Being

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Malik, A. (2022). Special Topics: Managing HR for Innovation, HR in Public Service, Work Redesign, and Well-Being. In: Malik, A. (eds) Strategic Human Resource Management and Employment Relations. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-90955-0_14

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Research trends in human resource management. A text-mining-based literature review

International Journal of Manpower

ISSN : 0143-7720

Article publication date: 26 April 2022

Issue publication date: 14 March 2023

The purpose of the study was to detect trends in human resource management (HRM) research presented in journals during the 2000–2020 timeframe. The research question is: How are the interests of researchers changing in the field of HRM and which topics have gained popularity in recent years?

Design/methodology/approach

The approach adopted in this study was designed to overcome all the limitations specific to the systematic literature reviews and bibliometric studies presented in the Introduction. The full texts of papers were analyzed. The text-mining tools detected first clusters and then trends, moreover, which limited the impact of a researcher's bias. The approach applied is consistent with the general rules of systematic literature reviews.

The article makes a threefold contribution to academic knowledge. First, it uses modern methodology to gather and synthesize HRM research topics. The proposed approach was designed to allow early detection of nascent, non-obvious trends in research, which will help researchers address topics of high value for both theory and practice. Second, the results of our study highlight shifts in focus in HRM over the past 19 years. Third, the article suggests further directions of research.

Research limitations/implications

In this study, the approach designed to overcome the limitations of using systematic literature review was presented. The analysis was done on the basis of the full text of the articles and the categories were discovered directly from the articles rather than predetermined. The study's findings may, however, potentially be limited by the following issues. First, the eligibility criteria included only papers indexed in the Scopus and WoS database and excluded conference proceedings, book chapters, and non-English papers. Second, only full-text articles were included in the study, which could narrow down the research area. As a consequence, important information regarding the research presented in the excluded documents is potentially lost. Third, most of the papers in our database were published in the International Journal of Human Resource Management, and therefore such trends as “challenges for international HRM” can be considered significant (long-lasting). Another – the fourth – limitation of the study is the lack of estimation of the proportion between searches in HRM journals and articles published in other journals. Future research may overcome the above-presented limitations. Although the authors used valuable techniques such as TF-IDF and HDBSCAN, the fifth limitation is that, after trends were discovered, it was necessary to evaluate and interpret them. That could have induced researchers' bias even if – as in this study – researchers from different areas of experience were involved. Finally, this study covers the 2000–2020 timeframe. Since HRM is a rapidly developing field, in a few years from now academics will probably begin to move into exciting new research areas. As a consequence, it might be worthwhile conducting similar analyses to those presented in this study and compare their results.

Originality/value

The present study provides an analysis of HRM journals with the aim of establishing trends in HRM research. It makes contributions to the field by providing a more comprehensive and objective review than analyses resulting from systematic literature reviews. It fills the gap in literature studies on HRM with a novel research approach – a methodology based on full-text mining and a big data toolset. As a consequence, this study can be considered as providing an adequate reflection of all the articles published in journals strictly devoted to HRM issues and which may serve as an important source of reference for both researchers and practitioners. This study can help them identify the core journals focused on HRM research as well as topics which are of particular interest and importance.

• Human resource management
• Text-mining

Piwowar-Sulej, K. , Wawak, S. , Tyrańska, M. , Zakrzewska, M. , Jarosz, S. and Sołtysik, M. (2023), "Research trends in human resource management. A text-mining-based literature review", International Journal of Manpower , Vol. 44 No. 1, pp. 176-196. https://doi.org/10.1108/IJM-03-2021-0183

Emerald Publishing Limited

Copyright © 2022, Katarzyna Piwowar-Sulej, Sławomir Wawak, Małgorzata Tyrańska, Małgorzata Zakrzewska, Szymon Jarosz and Mariusz Sołtysik

Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

1. Introduction

The human resource (HR) function has evolved over the years from serving a purely administrative role into one that is more strategic in character. Today it is believed that the mission of human resource management (HRM) is to support the organization in achieving its objectives by developing and implementing HR strategies that are integrated with a company's business strategy, promote staff development, foster a positive employment relationship, promote an ethical approach to people management, and care about the environment (social and natural) ( Ehnert, 2009 ; Braga et al. , 2021 ).

In practice, HRM means providing continuous solutions to a wide array of problems occurring in employee-employer, line worker-manager, and employee-employee relations and also in contacts with, e.g. trade unions. Human behaviors, feelings and attitudes are determined both by the personal characteristics of individuals and by the impact of the environment. The shape of HRM is significantly influenced by such factors as, e.g. the demographic and technological transformations ( Greiling, 2011 ; Silva and Lima, 2018 ), and globalization ( Gerhart and Fang, 2005 ).

HRM has evolved as a professional and academic discipline in parallel with both planned shifts in global considerations and unplanned phenomena such as, e.g. epidemics. For researchers it is crucial to identify, define, explain, and help practitioners understand the key factors which have an impact on HRM. Another of the researchers' roles is to formulate practical guidelines on how to manage people in different circumstances and outline areas of future research. HRM thrives on the contributions made in other fields that it assimilates and applies in practice. It unscrupulously builds on theoretical developments made earlier in related disciplines ( Boxall et al. , 2009 ). Finally, the researcher endeavors to provide an overview, comparisons, analyses and syntheses of previously published findings ( Paul and Criado, 2020 ).

The theme of trends in HRM has been addressed in numerous publications (e.g. Cooper et al. , 2020 ; Madera et al. , 2017 ). Their authors have employed various approaches to identify such phenomena, including systematic literature reviews. Articles offering a traditional overview provide a quantity-oriented (i.e. meta-analytical, systematic) approach together with descriptive or qualitative elements. Jointly, they develop a theoretical background, highlight irregularities in existing findings, integrate the findings of a wide variety of publications and in general provide other researchers with an up-to-date understanding of the discipline, frequently prepared by leading specialists ( Palmatier et al. , 2018 ). In most cases, the documents selected for analysis were based on titles, keywords and abstracts only. Unfortunately, they contain only around 8% of all research findings ( Blake, 2010 ). In order to gain a deeper insight into such a body of knowledge authors have often turned to the by-hand review method (e.g. Cooper et al. , 2020 ).

Conventional systematic by-hand literature reviews are sometimes characterized by errors in article selection, possible simplifications and potentially incomplete and not universal results (subjective, impressionistic descriptions), In response to these shortcomings, in recent years a number of new alternatives have emerged. One new approach that has attracted increasing attention is bibliometric studies. This method applies dedicated IT tools to gauge trends in articles. They examine academic material from both an objective and qualitative perspective for the purposes of identifying, organizing, and analyzing information in a specific research field ( Capobianco-Uriarte et al. , 2019 ). As far as trends in HRM are concerned, Markoulli et al. (2017) presented a summary of previously published traditional and narrative reviews and on its basis created a science map and defined clusters based on keyword co-occurrence analysis and the VOSviewer software tool.

Bibliometric analyses can be treated as a platform for writing an entire article or can be used only as preparation for the groundwork for further in-depth content analysis and qualitative descriptions. In turn, a text mining toolset can help identify research trends and select papers which are in line with a particular trend. Moreover, a full-text analysis of publications using a text mining toolset enables researchers to obtain higher-quality results than when using only keywords, such as in the case of VOSviewer analyses ( Kobayashi et al. , 2018 ). As a consequence we decided that it was worth adopting a methodology based on full-text mining and a big data toolset in order to identify trends in HRM research. We believe that big data and analytics help not only companies function but also researchers in a highly data-driven world ( Kobayashi et al. , 2018 ).

The purpose of the study was to detect trends in HRM research presented in journals during the 2000–2020 timeframe. The following research question was asked: how are the interests of researchers changing in the field of HRM and which topics have gained in popularity in recent years?

The paper is organized as follows. In the second section we describe the HRM research trends identified in previous studies. Here the focus is on the context in which authors were operating when analyzing HRM issues. The third section is devoted to the research method employed for the purpose of this study. Then we present the results and discussion. The article ends with conclusions, including limitations and areas of future research.

The article makes a threefold contribution to academic knowledge. First, it uses modern methodology to gather and synthesize HRM research topics. The proposed approach was designed to allow early detection of nascent, non-obvious trends in research, which will help researchers address topics of high value for both theory and practice. Second, the results of our study highlight shifts in focus in HRM over the past 20 years. Third, the article suggests further directions of research.

2. Trends in the HRM research identified in previous studies

In their search for HRM research trends authors of this study firstly used the Scopus database and a search strategy based on such terms as: trends in human resource management/HRM, trends in research on human resource management/HRM, human resource management/HRM trends, intellectual structure of human resource management/HRM. The searching process covered titles, abstracts and keywords and was limited to articles written in English. The search produced 37 documents. Then the authors also searched for additional articles in Google Scholar.

Most of the articles were devoted to the trends identified in HR practices in companies (e.g. Dubravska and Solankova, 2015 ). One of such trends is HRM digitalization ( Ashbaugh and Miranda, 2002 ). Table 1 presents a list of HRM trends identified in the research (related to academic work) conducted by different authors.

It can be concluded from the above that researchers employed different approaches to defining and identifying these trends. Research trends may be associated with research topics (e.g. Özlen, 2014 ), research methods (e.g. Pietersen, 2018 ) and the general characteristics of the academic domain (e.g. Sanders and De Cieri, 2020 ). Although a number of authors have provided traditional literature reviews of trends in HRM, Chae et al. (2020) , for example, focused only on the local (Korean) research trends and used only keyword analyses. Others focused on a specific sector ( Cooper et al. , 2020 ), industry ( Madera et al. , 2017 ) or region ( Wood and Bischoff, 2020 ). There are also articles that outline the evolution of research in particular journals (e.g. Pietersen, 2018 ). Others address specific problems, such as international HRM (e.g. Sanders and De Cieri, 2020 ) or green HRM ( Yong et al. , 2020 ). The most visible trends identified in previous studies and associated with research topics were strategic HRM, HR performance and employment/industrial relations. The first topic was addressed in eight works while the remaining was the subject of five publications.

3. Material and methods

The approach adopted in this study was designed to overcome all the limitations specific to the systematic literature reviews and bibliometric studies as presented in the Introduction. The full texts of papers were analyzed. The approach applied is consistent with the general rules of systematic literature reviews ( Tranfield et al. , 2003 ) and consists of several steps, which are presented in Figure 1 .

3.1 Selection of journals

Thousands of articles covering HRM can be found on both Scopus and the Web of Science. For the sake of the present analysis, it was necessary to define inclusion criteria in the meta-analysis.

The main topic of the journal was related to HRM,

The journals were indexed in Scopus and WoS,

The journals have a high SNIP index value (the limit value is set at 1 - status for 2020; full values are presented in Table 2 ),

Full versions of the article were available,

The articles were published in the years 2000–2020.

A total of 8 journals met the above criteria ( Table 2 ). The full texts of the papers were downloaded from academic databases. No duplicates were found. Only research papers were included, while editorials, calls for papers, errata and book reviews were excluded.

All the metadata were removed from the papers. The titles and abstracts often contain catchwords designed to increase readership. As a consequence, only the texts of papers minus their titles, keywords, abstracts and references were analyzed in this study. Additional bibliographic information that could be useful in the analytical process was downloaded from the Crossref database. Each paper was converted into a text file and then into a bag-of-words model for the needs of automatic analysis using computer algorithms. The algorithms were created using Python libraries, such as grobid, nltk, scikit-learn, hdbscan, and scipy ( Pedregosa et al. , 2011 ).

3.2 Search for the most important terms

w i j – result for term i in document j ,

t f i j – number of occurrences of i in j ,

d f i – number of documents containing i ,

N – number of documents in the corpus (set of documents).

The TF-IDF method is not a mathematical model. It requires extensive computation, cannot be used to discover synonyms and ignores multiple meanings of words ( Zhang et al. , 2011 ). However, in the case of research papers, these problems have a minimal impact due to the more precise language used by researchers.

3.3 Identification of thematic groups (clusters)

The TF-IDF model presents each paper as a multidimensional vector. The number of dimensions is equal to the number of keywords used in the analysis. In the next step, all the vectors were compared to each other, which led to the discovery of clusters.

As mentioned in section 3.2 , the TF-IDF model does not analyse synonyms and ignores multiple meanings of words and phrases. In scholarly texts, it is rarely a problem. Even in HRM, where the number of synonyms can be perceived as higher than in other areas of management, the impact on the results should be negligible.

There are two main approaches to clustering: partitioning and hierarchical clustering. The former can be applied when all the corpus elements must be included in one of the groups. This induces data noise, as not even similar elements have to be included. The latter allows some elements to remain outside the clusters. The clusters become much more homogenous. This constitutes a better approach when it comes to identifying trends. Multiple hierarchical clustering methods are available, e.g. meanshift, DBSCAN, Optics and HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise) ( McInnes et al. , 2017 ). HDBSCAN is characterized by the least number of limitations. It takes each paper (vector) and checks at what distance it can find similar publications. Then it compares the results, and the densest areas are detected as clusters. Unlike some other methods, the clusters lack permanent density or a fixed number of elements. The only parameter that the researcher needs to establish is the minimum cluster size. The best value can be determined through a series of experiments.

In the present study, the authors carried out a set of experiments using different minimum cluster sizes. The highest value detected was 20. Lower values lead to a much higher number of clusters. Moreover, general phrases not directly related to HRM played a significant role in the discovery of these clusters. With the minimum cluster size set to values greater than 20, the number of clusters was significantly lower. That led to general results based on the most popular phrases only.

The entire sample was divided into groups of papers published in 5-year overlapping periods starting with 2000–2004 and ending with 2016–2020. Each paper was assigned to all the groups into which it fitted. Cluster analysis was performed for every group separately, and the results were used to identify trends.

Cluster analysis was performed on each group separately, and the results were used to discover trends. Approximately 30 clusters on average were identified for each five-year period. However, for a trend to be identified at least two similar clusters had to be discovered in successive periods Therefore, many unrelated clusters were excluded by the algorithm. Such behaviour is expected, as it removes noise from data. Usually, only one-third of clusters meet the conditions to form trends.

The number of papers published in each year is presented in Figure 2 . A slight decrease in the number of articles can be observed compared to 2018–19, which may have been a result of the Covid-19 pandemic.

3.4 Identification of trends

Long-lasting trends that existed and evolved during the studied period,

Declining trends which came to an end during the studied period,

Emerging trends which began during the studied period,

Ephemeris trends that began and ended during the studied period.

3.5 Interpretation of trends

The results delivered by the algorithm must be checked through further studies. The algorithm can detect mergers or splits in trends. We decided, however, that the final decision should be left to researchers. At this stage, trends should also be named, interpreted and described. The interpretation phase should help highlight changes within trends and try to predict their future evolution.

4. Results and discussion

The analyses, performed by researchers using automatic algorithms and further verification, led to the discovery of 42 trends presented in Table 3 . These trends are ordered according to the year of their first occurrence and their duration. It is worth emphasizing that the year in which a trend was observed does not indicate that the idea behind it emerged at the same time. Rather, it shows when a subject began to increase in popularity among researchers. Furthermore, the number of identified trends is much higher than the results from previous studies presented in Section 2.1 Table 4 .

The use of tracking revealed the evolution of clusters, and made it possible to identify trends. The analysis led to the discovery of the types of trends presented in Section 3.4. Of the 42 trends, 4 were long-lasting, 5 declining, 17 emerging and 16 ephemeris in character. One possible fact to note is that “strategic HRM”, which was a prevailing trend in previous studies, is not directly presented in the results obtained using text-mining analyses. However, it is included in the “architecture and changing role of HRM” trend.

At this point it is worth emphasizing that sociologists of science have examined the principles governing the selection of topics analysed by researchers, and noticed that it may result from a trade-off between conservative production and risky innovation ( Bourdieu, 1975 ). The main problem when choosing research topics is deciding whether to continue topics fixed in the literature or take the risk of exploring new, hitherto unknown themes. Trend a analysis offers an indirect solution based on strategic ambidexterity. This is not only because it allows us to observe disappearing themes that continue to be exploited, but also to identify those topics, in which there is a growing interest (exploration).

Long-lasting trends are not homogenous and change over time. The evolution of trends can be tracked using keywords of considerable importance in subsequent years. The importance of keywords was evaluated using the TF-IDF algorithm and averaged for each cluster. The TF-IDF formula was presented in the Methodology section. It should be noted that the TF-IDF score has to be calculated for each phrase in each paper. In this study, over 150,000 phrases were identified in over 6 thousand papers. That resulted in a significant number of calculations made by the algorithm, which cannot be presented in the paper. A comparison of cluster keywords reveals new topics within trends. The evolution of trends may lead to the disappearance of earlier topics or to their parallel development. Declining and ephemeris trends are associated with issues that are of less interest to researchers, have been resolved or were eclipsed by changes in a researcher's approach to the object of their study. The disappearance of certain trends is a normal phenomenon in science. Such a disappearance can be predicted to a certain degree when the average number of papers decreases.

Since we identified many trends, only a few examples will be described below. One example of a long-lasting trend is “Diversity Management”, which covered the entire 2000–2020 timeframe. The articles that discussed this trend focused on effective diversity management, its impact on organizational performance (e.g. Choi et al. , 2017 ), team performance ( Roberge and van Dick, 2010 ), knowledge sharing ( Shen et al. , 2014 ), innovation ( Peretz et al. , 2015 ), and the various factors which impact upon its effectiveness. Some papers discussed only one form of diversity in the workplace, e.g. age diversity ( Li et al. , 2011 ), gender diversity (e.g. Gould et al. , 2018 ) or ethnic diversity (e.g. Singh, 2007 ).

One sub-trend that can be observed within the above-discussed trend is age management', which falls within the 2005–2018 time range. The papers assigned to this sub-trend focus on HR practices towards older employees (e.g. Kooij et al. , 2014 ).

One example of a declining trend is “new and traditional career models”. This trend, which was observed in the years 2000–2019, highlights the fact that the weakening of organizational boundaries has increased career freedom and independence from previously constraining factors. The papers which examined this issue provide conceptual knowledge of different career dimensions. For example, a shift has taken place from objective to subjective careers. Individuals have to make sense of their careers, because they can no longer depend on their employers ( Walton and Mallon, 2004 ). Individual cultural, social and economic capital builds a field of opportunities for pursuing a career ( Iellatchitch et al. , 2003 ). Simultaneously, two major kinds of boundaries to the “boundaryless career” have been identified: the competence-based boundary (industry boundary) and the relation-based boundary (social capital boundary) ( Baghdadli et al. , 2003 ).

In the last two decades, increasing environmental awareness has pushed researchers towards addressing the issue of HRM as a strategic tool for making companies sustainability-driven organizations (e.g. Podgorodnichenko et al. , 2020 ). One of the emerging trends identified in our study is “Green and sustainable HRM”. This trend focuses on the environmental responsibility of companies (e.g. DuBois and Dubois, 2012 ) or/and achieving simultaneously social and economic goals (if the triple bottom line concept is discussed) (e.g. Ren and Jackson, 2020 ). The results, in the form of behavioral changes, have also been examined (e.g. Dumont et al. , 2017 ) and the contribution of HRM to company sustainability has been discussed in the context of different countries (e.g. Alcaraz et al. , 2019 ).

Finally, one example of an ephemeris trend is “HR certification”. The discussion on this trend was initiated by Lengnick-Hall and Aguinis (2012) . They applied a multi-level theory-based approach to investigating HR certification. They tried to assess the value of HR certification for individual HR specialists, their organizations as well as for the HR profession as a whole. The main topic addressed in later articles devoted to this trend was the value of HR certification (e.g. Aguinis and Lengnick-Hall, 2012 ). The value of HR certification has been linked with shareholder value ( Paxton, 2012 ). The link between organizational values and HR certification is another issue that has been addressed. Organizational values are treated as a key antecedent to the use and pursuit of HR certification ( Garza and Morgeson, 2012 ).

Table 3 presents only those periods during which specific trends were active, but provides no information on their dynamics. This can be observed by looking at the average number of papers per year (ANPY) in consecutive periods. Table 4 presents all the trends active during the last year of the study. They were divided into three groups according to whether the ANPY was decreasing, increasing or stable in recent years. To depict the relative strength of these trends, table shows the average number of papers published in the final 5-year period.

It can be concluded that trends with an increasing dynamic coincide with the trends defined in the literature. For example, “flexible employment from the perspective of HRM” corresponds with “employment relations” distinguished by Markoulli et al. (2017) and “the HRM process, the changing nature of HRM, and precarious employment relations” in the typology developed by Cooper et al. (2020) . “Diversity Management” is related to “organizational culture” ( Özlen, 2014 ). “Employee participation” may be associated with “employment relations” ( Cooke et al. , 2019 ) and “organizational commitment” ( García-Lillo et al. , 2017 ). The latter occurs both in the presented typology and in previous ones. “leader–member exchange” should be included in “behavioral issues” ( Özlen, 2014 ). Finally, a trend characterized by an increasing dynamic is “green and sustainable HRM”. Green HRM was an independent subject of analysis in a study by Yong et al. (2020) .

5. Conclusions

5.1 contributions and implications.

The present study provides an analysis of HRM journals with the aim of identifying trends in HRM research. It makes contributions to the field by providing a more comprehensive and objective review than analyses resulting from conventional systematic literature reviews as well as by identifying 42 different trends. It fills an existing gap in literature studies on HRM with a novel research approach – a methodology based on full-text mining and a big data toolset. As a consequence, this study can be considered as providing an adequate reflection of all the articles published in journals strictly devoted to HRM issues and which may serve as an important source of reference for both researchers and practitioners. It can also help them identify the core journals focused on HRM research as well as those topics which are of particular interest and importance.

As the study covers a period of over 20 years it should come as no surprise that some trends emerged and declined over this time. However, our study creates an opportunity for reviving research topics which combine old trends with new ones, and at the same time take into account the interdisciplinary nature of HRM as a field of research. Some researchers have observed that success can often be achieved by adopting a tool from another research area or through a new way of analyzing old problems that brings new insights and solutions ( Adali et al. , 2018 ).

Finally, we observed the emergence of a number of trends during the studied period that are still active. In particular, green and sustainable HRM is not only an emerging trend but also developing rapidly. It is worth mentioning here that while many articles have focused on green HRM issues, they have not been published in journals that specialize in HRM but in journals devoted to environmental issues. One possible future challenge for researchers may be to estimate the proportions between HRM articles published in HRM journals and those featured in other journals.

Practitioners interested in the evolution of the field can find in this paper areas of HRM that require improving in their own businesses or which can be treated as a platform for introducing innovations in HRM (emerging trends). The information contained in this paper can also be utilized as a source for evaluating the performance of sub-fields in a HRM research domain and for adjusting research policies with regard to funding allocations and comparing research input and output ( Gu, 2004 ). The editors of journals may take into account the results presented in this paper when making decisions regarding the direction, scope, and themes of their journals.

5.2 Limitations

In this study, the approach designed to overcome the limitations of using systematic literature review was presented. The analysis was done on the basis of the full text of the articles and the categories were discovered directly from the articles rather than predetermined. The study's findings may, however, potentially be limited by the following issues.

First, our eligibility criteria included only papers indexed in the Scopus and WoS database and excluded conference proceedings, book chapters, and non-English papers. Second, only full-text articles were included in the study, which could narrow down the research area. As a consequence, important information regarding the research presented in the excluded documents is potentially lost. Third, most of the papers in our database were published in the International Journal of Human Resource Management, and therefore such trends as “challenges for international HRM” can be considered significant (long-lasting). Another – the fourth – limitation of the study is the lack of estimation of the proportion between searches in HRM journals and articles published in other journals. Future research may overcome the above-presented limitations. Although we used valuable techniques such as TF-IDF and HDBSCAN, the fifth limitation is that, after trends were discovered, it was necessary to evaluate and interpret them. That could have induced researchers' bias even if – as in this study – researchers from different areas of experience were involved. Finally, this study covers the 2000–2020 timeframe. Since HRM is a rapidly developing field, in a few years from now academics will probably begin to move into exciting new research areas. As a consequence, it might be worthwhile conducting similar analyses to those presented in this study and compare their results.

Workflow of the methodology used in this study

Number of papers in the years 2000–2020

Trends in HRM research identified in previous studies

HRM-related journals included in this study

Trends in HRM research in the years 2000–2020

Activity of long-lasting and emerging trends in recent years

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

Xiaoping qin.

1 School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730 China

Yu-Ni Huang

2 College of Medical and Health Science, Asia University, Taichung, 41354 Taiwan

Kaiyan Chen

3 Department of Education, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730 China

4 Department of Innovative Medical Research, Hospital Management Institute, Chinese People’s Liberation Army General Hospital, Beijing, 100853 China

Richard Szewei Wang

5 Affiliation Program of Data Analytics and Business Computing, Stern School of Business, New York University, New York, 10012 United States of America

6 Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055 China

Bing-Long Wang

Associated data.

All data and materials generated or analysed during this study are included in this published article.

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.

Introduction

Among the many management elements, people are the most dynamic and active element, and they are an important asset in organizations [ 1 ]. The term “human resources” was first coined by the academic Peter F. Drucker in 1954 [ 2 ]. The key function of human resources management (HRM) is to “put the right people in the right jobs at the right time” [ 2 ]. HRM refers to the planned allocation of human resources in accordance with the requirements of organizational development through a series of processes, such as recruitment, training, use, assessment, motivation, and adjustment of employees, to mobilize their motivation, bring into play their potential and create value for the organization [ 1 ]. Ensuring the achievement of the organization’s strategic objectives, HRM activities mainly include human resource strategy formulation, staff recruitment and selection, training and development, performance management, compensation management, staff mobility management, staff relationship management, staff safety and health management, etc. Similarly, modern healthcare management has human resources as the core. The HRM level in hospitals is related to the quality and efficiency of medical services provided by hospitals, which is also the core of internal hospital management and the focus of health macro management [ 3 ].

The World Health Organization (WHO) states that health systems can only work with the help of health workers, and that improving the coverage of health services and realizing the right to the highest standard of health depends on the availability, accessibility, acceptability and quality of health workers [ 4 ]. In response to evolving characteristics in socio-economic development and the human resource market, healthcare system personnel reforms are evident in three key areas: first, decentralization and flexible employment practices grant hospital managers greater decision-making autonomy concerning priorities and access to medical resources. However, they also impose quantitative and functional constraints on physicians' working hours, career planning, and medical payment systems. Second, a focal point is the rational allocation of technical staff to achieve efficiency while controlling labor costs. Finally, hospital organization change and restructuring are prevalent. Many European countries have unionized hospital employees, limiting the ability to establish independent incentives and rewards. In contrast, U.S. hospital employees often do not belong to specific organizations, leading cost control efforts to revolve around adjusting the allocation of technical staff and employee numbers to reduce labor expenses [ 5 – 7 ].

The current global trend in the number of publications on HRM in healthcare is rising. However, there are currently several problems in HRM research. The following issues mainly exist: (1) the expertise and professionalism of HRM managers are limited. (2) Theoretical methods and technical applications are weak. (3) Insufficient regulation of regulations, systems and procedures. (4) Management is mainly at the level of operational work, and functions are too fragmented [ 8 , 9 ]. Although hospitals worldwide generally recognize the importance of HRM, they do not pay sufficient attention to it. The management of human resources is also stuck in the previous understanding that its work is carried out only by transferring positions in hospitals, promoting and reducing the salary of employees and a series of other operations [ 10 ]. Most senior management in hospitals have comprehensive medical knowledge; some are experts in a particular field. Still, they lack expertise in HRM, which makes them work in a transactional way in HRM. There is also currently a general health workforce imbalance in countries worldwide. The lack of well-being of healthcare workers is particularly problematic in foreign healthcare institutions [ 11 ], and to reduce costs, some organizations have reduced staffing levels. In turn, because of lower quality of service, the morale of healthcare providers often suffers. Patient satisfaction may decline [ 12 ]. In the process of data gathering, we found that the literature related to HRM in healthcare is still under-reported and that the research topics are scattered, and there is still a lack of generalization and summary of these literatures [ 13 ]. There is no systematic theoretical support in the current research, which defines the perspective that researchers should take when analyzing and interpreting the data to be collected, leading to biased interpretations of the results, and does not allow other researchers to combine the findings with existing research knowledge and then apply them to practice [ 14 ]. Second, data collection was not rigorous, and the downloading strategy was not appropriate to achieve completeness and accuracy of data. There is also a lack of information and incomplete use of features in the presentation of knowledge maps and visualization results [ 15 ].

Therefore, the aims of this study are the following; first, we provide a new way of viewing the field of healthcare HRM and its associations by examining co-occurrence data. Second, we relate our evolutionary analysis to a comprehensive future research agenda which may generate a new research agenda in healthcare hospital HRM. This review, therefore, focuses on illuminating the research frontiers and future roadmap for healthcare HRM research [ 16 , 17 ].

Materials and methods

This study provides a bibliometric analysis of the HRM research literature in health care over a 30-year period to describe the landscape and trajectory of change in the research field. The methodology used for this overview is based on bibliometric mapping [ 18 , 19 ], a visualization technique that quantitatively displays the landscape and dynamic aspects of the knowledge domain [ 20 ]. Data were collected from the Web of Science (WoS) core citation database. Two Java-based scientific visualization software packages (CiteSpace and VOSviewer), developed by Chaomei Chen and Van Eck and Waltman, were used to analyze the data [ 18 , 21 ].

The data for this study were retrieved from the Web of Science on 28 September 2022. Web of Science was chosen as the search engine, because it is the most widely accepted and commonly used database for analyzing scientific publications [ 22 ]. The keywords “human resource management” and “healthcare organization” were used as search topics. First, to get a complete picture of HRM research, we searched all the literature from 1977 to the date of the search.

Eight hundred thirty-three publications on HRM in healthcare organizations were identified (Fig.  1 ). We excluded publications before 1990, because the two documents before 1990 did not include complete information. In addition, articles, review articles, and early access articles were included in the study. To minimize language bias, we excluded literature published in languages other than English. Each publication in WoS contains detailed information, including the year of publication, author, author’s address, title, abstract, source journal, subject category, references, etc. A detailed description of the contents of the database preceded the bibliographic analysis. For example, some authors presented their names in different spellings when submitting articles, so reviewing and integrating the data in detail was necessary. A total of 718 publications were included and exported to VOSviewer and CiteSpace software to analyze the following topics: global publishing trends, countries, journals, authors, research orientations, institutions, and quality of publications.

Research flow chart of the bibliometric analysis

Introduction to CiteSpace and VOSviewer

VOSviewer is a software tool for building and visualizing bibliometric networks. It was developed by Van Eck and Waltman [ 21 ]. In VOSviewer, metric networks can be visualized and analyzed for factors, including journals, researchers, or individual publications. They can be constructed based on citations, bibliographic couplings, co-citations, or co-authorship relationships [ 21 ].

Global publication trends

Number of global trends.

After applying the search criteria, we retrieved a total of 718 articles. Figure  2 a shows the increase in articles from 1 in 1977 to 108 in 2021. To predict future trends, a linear regression model was used to create a time curve for the number of publications throughout the year, and the model fit curve for the growth trend is shown in Fig.  2 b. The trend in the number of publications fitted the time curve well at R 2  = 0.8802. The R-squared value is a measure of how well the trend line fits. This value reflects the degree of fit between the estimated value of the trend line and the corresponding actual data; the better the fit, the more reliable the trend line is [ 23 , 24 ]. Based on the model’s trends, it is also predicted that the number of articles on HRM in healthcare will increase to approximately 300 by 2030, an almost threefold increase compared to 2021.

a Total number of publications related to HRM research. The bars indicate the number of publications per year. b Model fitting curves of global publication trends. c Top 10 countries of total publications. d Distribution world map of HRM research

Country and regional contributions

Figure  2 c, d shows the number of publications and the world distribution of the top 10 countries in total publication numbers. The USA contributed the most publications (172, 24.2%), followed by Australia (86, 12.0%), the UK (83, 11.6%), and China (78, 10.9%).

Total number of citations

The USA had the highest total number of citations of all included publications (5195) (Table ​ (Table1), 1 ), while the UK ranked second (2661), followed by Australia (1960) and the Netherlands (1271). The detailed rankings and numbers are shown in Fig.  3 a and Table ​ Table1 1 .

Contributions in publications of countries

a Top 10 countries of average citations for each article. b Average number of citations. c Top 10 countries of the H-index

Average citation frequency

Belgium had the highest average number of citations (49.26), followed by the UK (32.06), the USA (30.2), and Canada (27.13), as shown in Fig.  3 b.

Total citations and the h-index reflect the quality of a country’s publications and academic impact[ 25 ]. Figure  3 c shows the ranking of the h-index, where the top country is the USA (h-index = 36), followed by the UK (h-index = 27), Australia (h-index = 23), and Canada (h-index = 22).

Analysis of publications

Table ​ Table2 2 shows the top 10 journals for publications on HRM in healthcare, with 54 articles published in “International Journal of Human Resource Management”, 44 articles published in “BMJ Open”, 30 articles published in “Journal of Nursing Management”, and 24 articles in “BMC Health Services Research”.

Top 10 journals of publications related to HRM research

Table ​ Table3 3 shows the top 10 most published authors with 96 articles/reviews in the last decade, representing 13.4% of all literature in the field. Timothy Bartram from Australia has published 19 papers, followed by Sandra Leggat from Australia, Stanton P from the USA, and Townsend K from the UK with 13, 11, and 10 papers, respectively. All researchers listed as authors were included in this term for analysis, regardless of their relative contribution to the study. Notably, we have included all authors in this analysis regardless of their relative contribution to the study.

Top 20 authors of publications

Research orientation

Figure  4 a shows the top 10 research orientations of the 100 research orientations. The most common research orientations were management (193 articles), nursing (107 articles), health policy services (105 articles), and health care sciences services (201 articles).

a Top 10 research orientations and the number of publications in each orientation. b Top 20 institutions with the most publications

Institutions

Figure  4 shows the top 20 institutions with the most published papers. La Trobe University has the highest number of articles with 24, followed by the University of London (23) and Griffith University (18).

Co-occurrence analysis

In the keyword mapping on HRM research in healthcare, the size of the nodes represents the frequency, while the line between the nodes reflects the co-occurrence relationship. A total of 1914 keywords were included, and 59 met the criteria. All keywords were grouped into six clusters: performance (light blue cluster), job satisfaction (red cluster), quality of care (blue cluster), human resource management (brown cluster), occupational/mental health (purple cluster), and hospital/COVID-19 (green cluster) (Fig.  5 ).

Co-occurrence analysis of HRM research in healthcare

The most prominent themes in HRM research in healthcare are as below. In the “Performance” cluster, the keywords which have the greatest co-occurrence strength were “performance”, “systematic review”, “decentralization health system” and “motivation”. The main keywords in the “Job Satisfaction” cluster are “job satisfaction”, “organizational commitment”, “transformational leadership” and “turn over”. In the “Quality of care” cluster, the keywords that stand out are “quality of care”, “patient safety”, “high-performance work system”, “quality management” and “patient satisfaction”. In the “Human resource management” cluster, the prominent keywords include “human resource management”, “health policy”, “public health”, and “education and training”. In the “Occupational/Mental Health” cluster, the prominent keywords are “Occupational health”, “mental health”, “well-being” and “burnout”. The main keywords in the “Hospital/COVID-19” cluster were “hospitals”, “COVID-19” “workforce” and “qualitative research”.

Global trends in HMR in healthcare

Our study of HMR research in healthcare illustrates current and global trends in publications, contributing countries, institutions, and research orientations. The field of HMR research has evolved over the past three decades. However, as this study shows, the number of publications steadily increases yearly, with 93 countries or regions publishing in the field, suggesting that research focusing on HMR research and providing in-depth knowledge will likely increase.

Quality and status of publications worldwide

We find that most publishing countries are developed countries, but developing countries are catching up. The total citation rate and the h-index reflect the quality and scholarly impact of a country’s publications [ 25 ]. According to our study, the US ranks first among other countries in total publications, citations, and h-index, making the most substantial contribution to global HRM research. The UK and Canada also contribute significantly, with impressive total citation frequencies and h-index, especially the UK, which ranks second in average citation frequency. However, some countries, such as Belgium, Canada and Australia, also play an important role, given their high average citation frequency. In developing countries, HRM research has also served as a guide for hospitals to improve the quality of care. The study will serve as a reference for developing countries to learn from the experience of developed countries as their economic development gradually catches up with that of developed countries.

The impact and prestige of the journals can be seen in the number of articles published in the field and the influential journals in healthcare HRM research, including the BMC Health Services Research, the Journal of Nursing Management, the International Journal of Human Resource Management, the Health Care Management Review, and the Journal of Health Organisation and Management. These high-quality journals are thus the main source of information for researchers in this field on the latest developments in HRM in healthcare.

The study shows that almost all of the top 20 institutions come from the top five countries with the most publications, with the majority coming from the US, Australia and the Netherlands, reflecting the great academic influence of these three countries in the field of HRM in healthcare. These institutions play an important role in raising the academic performance of a country. Furthermore, the top 20 authors represent research leaders who are likely to impact the future direction of research significantly. Therefore, more attention should be paid to their work to stay abreast of the latest developments in the field.

Research Focus on HRM

Keywords play a crucial role in research papers as they contain vital information [ 26 ]. A systematic analysis of keywords within a specific research domain offers valuable insights into trends and focal points across various research areas [ 27 ]. Moreover, co-occurrence analysis relies on the number of joint publications to evaluate relationships among the identified keyword domains. As a result, it serves as an effective method for predicting future trends and focal points within the research areas of interest. These findings are expected to inspire more researchers to contribute to the future of HRM research in healthcare [ 28 ].

In this study, a total of six research domains were eventually summarized. Performance, Hospital/COVID-19, Job Satisfaction, Human resource management, Occupational/Mental Health, and Quality of care. By visualizing the analysis results, we can easily further clarify future trends. As the co-occurrence diagram shows, the keywords “Organizational culture”, “Patient safety”, “Nursing”, “Leadership”, “Quality of care” and “Hospitals” are highlighted as larger icons, so that investment and demand for quality research are necessary for the context of these six research directions.

Six modules and research directions in human resources

This study found that the visual clustering results and the keywords that emerged from the clusters were closely related to the HRM module s described in “Human Resources Management: Gaining a Competitive Advantage” by Noe. R . [ 29 ]. The modules have been cited in HRM research and are used as textbooks in universities [ 30 – 33 ]. Some of the keywords in each cluster correspond to human resource planning, performance management, recruitment and staffing, and training and development, respectively. The explanation of the HRM modules is described in the next paragraph. However, there are no explicit keywords in the modules related to employee relations management and compensation management results. This may be due to the private nature of the compensation structure in healthcare organizations during data collection, making it unavailable.

The explanation of the HRM modules [ 29 ]

• Human resource planning is the starting point of HRM. It helps the organization forecast future personnel needs and their basic qualities, primarily through planning.
• Recruitment and staffing, with HR planning as the input, is equivalent to the organization’s blood, nourishing the organization and solving the problem of staffing and staff matching.
• Training and development, with the “education” theme.
• Performance Management is at the heart of the six dimensions. It is also the primary input to the other dimensions.
• Compensation management aims to motivate employees to solve the company’s problems.
• Employee relations management aims to manage people and help the company form an effective cycle of rational human resource allocation.

Human resource planning

Human Resource Plan (HRP) stands for the implementation of the HR development strategy of the enterprise and the accomplishment of the enterprise’s goals, according to the changes in the internal and external environment and conditions of the enterprise, through the analysis and estimation of the future needs and supply of human resources and the use of scientific methods for organizational design, as well as the acquisition, allocation, utilization and maintenance of HR and other aspects of functional planning. HRP ensures that the organization has a balance of HR supply and demand at a needed time and in a required position, and achieves a reasonable allocation of HR and other resources to effectively motivate and develop of employees [ 34 ].

Decentralization health system, organizational culture/structure are high-frequency words in the clustering results related to “human resource management”. It is important to assess the extent to which decentralization can be used as a policy tool to improve national health systems. For policymakers and managers, based on relevant literature and research as well as country experience analysis, the experience of decentralization in relation to the organization and management of healthcare services is considered a forward-looking and pioneering concept capable of achieving optimal allocation of HR and other resources, in addition to the need to focus more on ex-ante and ex-post incentive development to deliver a 1 + 1 > 2 HRM effect [ 35 ]. HRP is the starting point and basis for all specific HRM activities. It directly affects the efficiency of the overall HRM of the enterprise. It is, therefore, taken as the primary job requirement for HR managers [ 36 ]. Organizational culture/structure significantly impacts the healthcare sector, such as excellence in healthcare delivery, ethical values, engagement, professionalism, cost of care, commitment to quality and strategic thinking, which are key cultural determinants of high-quality care delivery [ 37 ]. Therefore, as with other for-profit organizations, healthcare organizations must ensure that their organizational structure functions effectively to achieve their strategic goals. The organization formulates and implements HRM, an important task to achieve the development strategy goals.

Staff recruitment and allocation

Recruitment and staffing are the first steps in hospital HRM activities. Under the guidance of the organization’s human resources development plan, potential staff who meet the development conditions are attracted. Through the scientific selection of outstanding personnel, a platform with guaranteed treatment and development prospects is provided to ensure that the team of the healthcare organization is built solidly and meets the development needs. From the findings of this study, the keywords “workforce” and “workload” appear as high-frequency keywords in the co-occurrence analysis. Still, keywords related to traditional staff recruitment (e.g., analysis of recruitment needs, job analysis, competency analysis, recruitment procedures, and strategies) do not appear often. Recruitment and staffing are the prerequisites of human resources work. They bring a new dynamic source to healthcare organizations while complementing staff, making the organization full of vitality and vigor, facilitating organizational innovation and management innovation and helping improve the healthcare organization’s competitive advantage [ 38 ]. Recruitment and staffing, as a part of HR, directly impact the successful running of daily activities.

Training and development

Human resource training is an important component of quality and safety in the health care system. The keyword “education and training” shows a high frequency of co-occurrence in the clustering results of analysis, corresponding to the module “training and education”. However, it is connected to the keywords “human resource management” and “health policy”, and is in the same cluster with” public health”, “health care management”, and the distance between the lines and dots indicate that these topics are closely related, proving the importance of education and training in the HRM of health systems. Healthcare organizations (especially for non-professionals and caregivers) can improve the performance of their employees by enhancing their capabilities, knowledge and potential through learning and training, so that they can maximize their qualifications to match the demands of their work and advance their performance [ 39 , 40 ].

Performance management

Performance management, the core of the six modules, is also featured in the clustering results. Although this is an important focus for HR professionals, few studies have explored the link between HRM and health sector performance [ 6 ], the results show “performance” and “motivation”. The effectiveness of performance management is an important component of HRM, which effectively improves the quality of care in healthcare organizations/institutions [ 6 ]. Focusing on the effectiveness of performance management is considered to be crucial. First, as an integral part of HRM within an organization, it can help the organization meet its goals. Second, ineffective approaches can lead to negative attitudes among employees (including clinicians, nursing staff, administrators, etc.) and adversely affect performance due to decreased satisfaction among employees and patients. Third, given the increasing quality and cost reduction pressures on healthcare organizations, conducting further research on performance management and effectiveness is critical [ 41 ]. However, it is clear from our results that healthcare organizations have recognized the importance of performance management and are pursuing “high performance”. Although the topic of performance management in HRM in healthcare is one of the research priorities, the number is lacking and more discussion on performance management should be suggested for future research.

Compensation management

Compensation is an important tool to motivate employees to work hard and to motivate them to work hard. The results of the database's bibliographic analysis show that no keywords directly involved compensation. This indicates that “compensation management” has not been considered a hot topic or a research issue over 30 years of available literature. To clarify the content of this module, we further searched the database of 718 articles with keywords, such as compensation, remuneration, salary, etc., and found that only 35 of them mentioned or discussed compensation, and some years (e.g., 2018, 2009) even had no relevant literature being published. However, issues such as fairness of compensation management and employee compensation satisfaction are still important issues of concern to business management academics [ 42 , 43 ]. The actual situation is that it is difficult to conduct research on compensation management. Most organizations keep their employees’ compensation confidential, and when conducting research, HR managers avoid talking about their employees’ compensation or leave it vague, rendering it impossible for researchers to conduct further research.

Employee compensation is one factor that has the greatest impact on organizational performance. In the future, organizations should be encouraged to scientifically structure their compensation management and empower academic research to establish and implement fair compensation management systems based on empirical research while maintaining the privacy and security of organizational information.

Employee relations management

The connotation of employee relations management involves organizational culture and employee relations, as well as the coordination of the relationship between employers and employees. Healthcare organizations have complex structures with employees with varying skills, tasks or responsibilities, and such conflicts are often managed through the communication skills of administrative staff [ 44 ]. Although the keywords related to “employee relations management” did not occur in this study's analysis results, the six HRM modules are closely related. Therefore, this does not mean that no description of employee relations management was completely absent in the retrieved articles. It is clear that there is currently a lack of research on employee relations management in the healthcare field. Still, with the continuous development of the healthcare industry, it faces multiple challenges. If employee relations are not handled properly, healthcare organizations with social responsibility will face great public pressure, which will even affect the quality of healthcare services and performance, so it is especially important to strengthen the research on employee relations management.

This study inevitably has some limitations, the first of which arises from using quantitative methods to review documents in the field of HRM. The review relied on an analysis of the bibliographic data associated with the documents rather than a review of the research findings. The impact of the study was, therefore, limited to the general direction of developments in the field, rather than a synthesis of research findings. As a result, we may have missed some publications due to database bias. Second, most of the publications identified were in English and some articles relevant to other languages have not been included. Third, Since HRM exists in a wide range of industries and research areas, although researchers have set the screening criteria as detailed as possible, there may still be some literature that has not been detected.

This study describes the current state and global trends in HRM research in healthcare. The United States has made significant contributions in this field, establishing itself as a global leader. It is foreseeable that more and more publications will be published in the coming years, which indicates that HRM research in healthcare is booming. The analysis results of this study echoed the modules of HRM. It can be seen that in the current HRM research, many topics have been of interest. However, the focus and hotspots of the research are scattered, and there is presently no systematic research on the content of HRM in healthcare.

Acknowledgements

The authors thank the Editor-in-Chief and the referees for their helpful comments which help to improve our manuscript significantly.

Author contributions

BW, ZH and LLconceived of the presented idea. BW, developed the theory. BW, YH, RW, KC and XQ collected the data and discussed the results. BW and YH encouraged XQ to investigate the hospital management field and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.

This research was supported by Chinese Academy of Medical Sciences and Peking Union Medical College, China (Grant number: 2021-RC630-001).

Availability of data and materials

Declarations.

There are no human or animal studies in this manuscript, and no potentially identifiable human images or data are presented in this study.

Not applicable.

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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

• Xiaoping Qin 1 ,
• Yu-Ni Huang 2 ,
• Zhiyuan Hu 1 ,
• Kaiyan Chen 3 ,
• Richard Szewei Wang 5 , 6 &
• Bing-Long Wang   ORCID: orcid.org/0000-0001-9910-9804 1  

Human Resources for Health volume  21 , Article number:  94 ( 2023 ) Cite this article

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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.

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Introduction

Among the many management elements, people are the most dynamic and active element, and they are an important asset in organizations [ 1 ]. The term “human resources” was first coined by the academic Peter F. Drucker in 1954 [ 2 ]. The key function of human resources management (HRM) is to “put the right people in the right jobs at the right time” [ 2 ]. HRM refers to the planned allocation of human resources in accordance with the requirements of organizational development through a series of processes, such as recruitment, training, use, assessment, motivation, and adjustment of employees, to mobilize their motivation, bring into play their potential and create value for the organization [ 1 ]. Ensuring the achievement of the organization’s strategic objectives, HRM activities mainly include human resource strategy formulation, staff recruitment and selection, training and development, performance management, compensation management, staff mobility management, staff relationship management, staff safety and health management, etc. Similarly, modern healthcare management has human resources as the core. The HRM level in hospitals is related to the quality and efficiency of medical services provided by hospitals, which is also the core of internal hospital management and the focus of health macro management [ 3 ].

The World Health Organization (WHO) states that health systems can only work with the help of health workers, and that improving the coverage of health services and realizing the right to the highest standard of health depends on the availability, accessibility, acceptability and quality of health workers [ 4 ]. In response to evolving characteristics in socio-economic development and the human resource market, healthcare system personnel reforms are evident in three key areas: first, decentralization and flexible employment practices grant hospital managers greater decision-making autonomy concerning priorities and access to medical resources. However, they also impose quantitative and functional constraints on physicians' working hours, career planning, and medical payment systems. Second, a focal point is the rational allocation of technical staff to achieve efficiency while controlling labor costs. Finally, hospital organization change and restructuring are prevalent. Many European countries have unionized hospital employees, limiting the ability to establish independent incentives and rewards. In contrast, U.S. hospital employees often do not belong to specific organizations, leading cost control efforts to revolve around adjusting the allocation of technical staff and employee numbers to reduce labor expenses [ 5 , 6 , 7 ].

The current global trend in the number of publications on HRM in healthcare is rising. However, there are currently several problems in HRM research. The following issues mainly exist: (1) the expertise and professionalism of HRM managers are limited. (2) Theoretical methods and technical applications are weak. (3) Insufficient regulation of regulations, systems and procedures. (4) Management is mainly at the level of operational work, and functions are too fragmented [ 8 , 9 ]. Although hospitals worldwide generally recognize the importance of HRM, they do not pay sufficient attention to it. The management of human resources is also stuck in the previous understanding that its work is carried out only by transferring positions in hospitals, promoting and reducing the salary of employees and a series of other operations [ 10 ]. Most senior management in hospitals have comprehensive medical knowledge; some are experts in a particular field. Still, they lack expertise in HRM, which makes them work in a transactional way in HRM. There is also currently a general health workforce imbalance in countries worldwide. The lack of well-being of healthcare workers is particularly problematic in foreign healthcare institutions [ 11 ], and to reduce costs, some organizations have reduced staffing levels. In turn, because of lower quality of service, the morale of healthcare providers often suffers. Patient satisfaction may decline [ 12 ]. In the process of data gathering, we found that the literature related to HRM in healthcare is still under-reported and that the research topics are scattered, and there is still a lack of generalization and summary of these literatures [ 13 ]. There is no systematic theoretical support in the current research, which defines the perspective that researchers should take when analyzing and interpreting the data to be collected, leading to biased interpretations of the results, and does not allow other researchers to combine the findings with existing research knowledge and then apply them to practice [ 14 ]. Second, data collection was not rigorous, and the downloading strategy was not appropriate to achieve completeness and accuracy of data. There is also a lack of information and incomplete use of features in the presentation of knowledge maps and visualization results [ 15 ].

Therefore, the aims of this study are the following; first, we provide a new way of viewing the field of healthcare HRM and its associations by examining co-occurrence data. Second, we relate our evolutionary analysis to a comprehensive future research agenda which may generate a new research agenda in healthcare hospital HRM. This review, therefore, focuses on illuminating the research frontiers and future roadmap for healthcare HRM research [ 16 , 17 ].

Materials and methods

This study provides a bibliometric analysis of the HRM research literature in health care over a 30-year period to describe the landscape and trajectory of change in the research field. The methodology used for this overview is based on bibliometric mapping [ 18 , 19 ], a visualization technique that quantitatively displays the landscape and dynamic aspects of the knowledge domain [ 20 ]. Data were collected from the Web of Science (WoS) core citation database. Two Java-based scientific visualization software packages (CiteSpace and VOSviewer), developed by Chaomei Chen and Van Eck and Waltman, were used to analyze the data [ 18 , 21 ].

The data for this study were retrieved from the Web of Science on 28 September 2022. Web of Science was chosen as the search engine, because it is the most widely accepted and commonly used database for analyzing scientific publications [ 22 ]. The keywords “human resource management” and “healthcare organization” were used as search topics. First, to get a complete picture of HRM research, we searched all the literature from 1977 to the date of the search.

Eight hundred thirty-three publications on HRM in healthcare organizations were identified (Fig.  1 ). We excluded publications before 1990, because the two documents before 1990 did not include complete information. In addition, articles, review articles, and early access articles were included in the study. To minimize language bias, we excluded literature published in languages other than English. Each publication in WoS contains detailed information, including the year of publication, author, author’s address, title, abstract, source journal, subject category, references, etc. A detailed description of the contents of the database preceded the bibliographic analysis. For example, some authors presented their names in different spellings when submitting articles, so reviewing and integrating the data in detail was necessary. A total of 718 publications were included and exported to VOSviewer and CiteSpace software to analyze the following topics: global publishing trends, countries, journals, authors, research orientations, institutions, and quality of publications.

Research flow chart of the bibliometric analysis

Introduction to CiteSpace and VOSviewer

VOSviewer is a software tool for building and visualizing bibliometric networks. It was developed by Van Eck and Waltman [ 21 ]. In VOSviewer, metric networks can be visualized and analyzed for factors, including journals, researchers, or individual publications. They can be constructed based on citations, bibliographic couplings, co-citations, or co-authorship relationships [ 21 ].

Global publication trends

Number of global trends.

After applying the search criteria, we retrieved a total of 718 articles. Figure  2 a shows the increase in articles from 1 in 1977 to 108 in 2021. To predict future trends, a linear regression model was used to create a time curve for the number of publications throughout the year, and the model fit curve for the growth trend is shown in Fig.  2 b. The trend in the number of publications fitted the time curve well at R 2  = 0.8802. The R-squared value is a measure of how well the trend line fits. This value reflects the degree of fit between the estimated value of the trend line and the corresponding actual data; the better the fit, the more reliable the trend line is [ 23 , 24 ]. Based on the model’s trends, it is also predicted that the number of articles on HRM in healthcare will increase to approximately 300 by 2030, an almost threefold increase compared to 2021.

a Total number of publications related to HRM research. The bars indicate the number of publications per year. b Model fitting curves of global publication trends. c Top 10 countries of total publications. d Distribution world map of HRM research

Country and regional contributions

Figure  2 c, d shows the number of publications and the world distribution of the top 10 countries in total publication numbers. The USA contributed the most publications (172, 24.2%), followed by Australia (86, 12.0%), the UK (83, 11.6%), and China (78, 10.9%).

Total number of citations

The USA had the highest total number of citations of all included publications (5195) (Table 1 ), while the UK ranked second (2661), followed by Australia (1960) and the Netherlands (1271). The detailed rankings and numbers are shown in Fig.  3 a and Table 1 .

a Top 10 countries of average citations for each article. b Average number of citations. c Top 10 countries of the H-index

Average citation frequency

Belgium had the highest average number of citations (49.26), followed by the UK (32.06), the USA (30.2), and Canada (27.13), as shown in Fig.  3 b.

Total citations and the h-index reflect the quality of a country’s publications and academic impact[ 25 ]. Figure  3 c shows the ranking of the h-index, where the top country is the USA (h-index = 36), followed by the UK (h-index = 27), Australia (h-index = 23), and Canada (h-index = 22).

Analysis of publications

Table 2 shows the top 10 journals for publications on HRM in healthcare, with 54 articles published in “International Journal of Human Resource Management”, 44 articles published in “BMJ Open”, 30 articles published in “Journal of Nursing Management”, and 24 articles in “BMC Health Services Research”.

Table 3 shows the top 10 most published authors with 96 articles/reviews in the last decade, representing 13.4% of all literature in the field. Timothy Bartram from Australia has published 19 papers, followed by Sandra Leggat from Australia, Stanton P from the USA, and Townsend K from the UK with 13, 11, and 10 papers, respectively. All researchers listed as authors were included in this term for analysis, regardless of their relative contribution to the study. Notably, we have included all authors in this analysis regardless of their relative contribution to the study.

Research orientation

Figure  4 a shows the top 10 research orientations of the 100 research orientations. The most common research orientations were management (193 articles), nursing (107 articles), health policy services (105 articles), and health care sciences services (201 articles).

a Top 10 research orientations and the number of publications in each orientation. b Top 20 institutions with the most publications

Institutions

Figure  4 shows the top 20 institutions with the most published papers. La Trobe University has the highest number of articles with 24, followed by the University of London (23) and Griffith University (18).

Co-occurrence analysis

In the keyword mapping on HRM research in healthcare, the size of the nodes represents the frequency, while the line between the nodes reflects the co-occurrence relationship. A total of 1914 keywords were included, and 59 met the criteria. All keywords were grouped into six clusters: performance (light blue cluster), job satisfaction (red cluster), quality of care (blue cluster), human resource management (brown cluster), occupational/mental health (purple cluster), and hospital/COVID-19 (green cluster) (Fig.  5 ).

Co-occurrence analysis of HRM research in healthcare

The most prominent themes in HRM research in healthcare are as below. In the “Performance” cluster, the keywords which have the greatest co-occurrence strength were “performance”, “systematic review”, “decentralization health system” and “motivation”. The main keywords in the “Job Satisfaction” cluster are “job satisfaction”, “organizational commitment”, “transformational leadership” and “turn over”. In the “Quality of care” cluster, the keywords that stand out are “quality of care”, “patient safety”, “high-performance work system”, “quality management” and “patient satisfaction”. In the “Human resource management” cluster, the prominent keywords include “human resource management”, “health policy”, “public health”, and “education and training”. In the “Occupational/Mental Health” cluster, the prominent keywords are “Occupational health”, “mental health”, “well-being” and “burnout”. The main keywords in the “Hospital/COVID-19” cluster were “hospitals”, “COVID-19” “workforce” and “qualitative research”.

Global trends in HMR in healthcare

Our study of HMR research in healthcare illustrates current and global trends in publications, contributing countries, institutions, and research orientations. The field of HMR research has evolved over the past three decades. However, as this study shows, the number of publications steadily increases yearly, with 93 countries or regions publishing in the field, suggesting that research focusing on HMR research and providing in-depth knowledge will likely increase.

Quality and status of publications worldwide

We find that most publishing countries are developed countries, but developing countries are catching up. The total citation rate and the h-index reflect the quality and scholarly impact of a country’s publications [ 25 ]. According to our study, the US ranks first among other countries in total publications, citations, and h-index, making the most substantial contribution to global HRM research. The UK and Canada also contribute significantly, with impressive total citation frequencies and h-index, especially the UK, which ranks second in average citation frequency. However, some countries, such as Belgium, Canada and Australia, also play an important role, given their high average citation frequency. In developing countries, HRM research has also served as a guide for hospitals to improve the quality of care. The study will serve as a reference for developing countries to learn from the experience of developed countries as their economic development gradually catches up with that of developed countries.

The impact and prestige of the journals can be seen in the number of articles published in the field and the influential journals in healthcare HRM research, including the BMC Health Services Research, the Journal of Nursing Management, the International Journal of Human Resource Management, the Health Care Management Review, and the Journal of Health Organisation and Management. These high-quality journals are thus the main source of information for researchers in this field on the latest developments in HRM in healthcare.

The study shows that almost all of the top 20 institutions come from the top five countries with the most publications, with the majority coming from the US, Australia and the Netherlands, reflecting the great academic influence of these three countries in the field of HRM in healthcare. These institutions play an important role in raising the academic performance of a country. Furthermore, the top 20 authors represent research leaders who are likely to impact the future direction of research significantly. Therefore, more attention should be paid to their work to stay abreast of the latest developments in the field.

Research Focus on HRM

Keywords play a crucial role in research papers as they contain vital information [ 26 ]. A systematic analysis of keywords within a specific research domain offers valuable insights into trends and focal points across various research areas [ 27 ]. Moreover, co-occurrence analysis relies on the number of joint publications to evaluate relationships among the identified keyword domains. As a result, it serves as an effective method for predicting future trends and focal points within the research areas of interest. These findings are expected to inspire more researchers to contribute to the future of HRM research in healthcare [ 28 ].

In this study, a total of six research domains were eventually summarized. Performance, Hospital/COVID-19, Job Satisfaction, Human resource management, Occupational/Mental Health, and Quality of care. By visualizing the analysis results, we can easily further clarify future trends. As the co-occurrence diagram shows, the keywords “Organizational culture”, “Patient safety”, “Nursing”, “Leadership”, “Quality of care” and “Hospitals” are highlighted as larger icons, so that investment and demand for quality research are necessary for the context of these six research directions.

Six modules and research directions in human resources

This study found that the visual clustering results and the keywords that emerged from the clusters were closely related to the HRM module s described in “Human Resources Management: Gaining a Competitive Advantage” by Noe. R . [ 29 ]. The modules have been cited in HRM research and are used as textbooks in universities [ 30 , 31 , 32 , 33 ]. Some of the keywords in each cluster correspond to human resource planning, performance management, recruitment and staffing, and training and development, respectively. The explanation of the HRM modules is described in the next paragraph. However, there are no explicit keywords in the modules related to employee relations management and compensation management results. This may be due to the private nature of the compensation structure in healthcare organizations during data collection, making it unavailable.

The explanation of the HRM modules [ 29 ]

Human resource planning is the starting point of HRM. It helps the organization forecast future personnel needs and their basic qualities, primarily through planning.

Recruitment and staffing, with HR planning as the input, is equivalent to the organization’s blood, nourishing the organization and solving the problem of staffing and staff matching.

Training and development, with the “education” theme.

Performance Management is at the heart of the six dimensions. It is also the primary input to the other dimensions.

Compensation management aims to motivate employees to solve the company’s problems.

Employee relations management aims to manage people and help the company form an effective cycle of rational human resource allocation.

Human resource planning

Human Resource Plan (HRP) stands for the implementation of the HR development strategy of the enterprise and the accomplishment of the enterprise’s goals, according to the changes in the internal and external environment and conditions of the enterprise, through the analysis and estimation of the future needs and supply of human resources and the use of scientific methods for organizational design, as well as the acquisition, allocation, utilization and maintenance of HR and other aspects of functional planning. HRP ensures that the organization has a balance of HR supply and demand at a needed time and in a required position, and achieves a reasonable allocation of HR and other resources to effectively motivate and develop of employees [ 34 ].

Decentralization health system, organizational culture/structure are high-frequency words in the clustering results related to “human resource management”. It is important to assess the extent to which decentralization can be used as a policy tool to improve national health systems. For policymakers and managers, based on relevant literature and research as well as country experience analysis, the experience of decentralization in relation to the organization and management of healthcare services is considered a forward-looking and pioneering concept capable of achieving optimal allocation of HR and other resources, in addition to the need to focus more on ex-ante and ex-post incentive development to deliver a 1 + 1 > 2 HRM effect [ 35 ]. HRP is the starting point and basis for all specific HRM activities. It directly affects the efficiency of the overall HRM of the enterprise. It is, therefore, taken as the primary job requirement for HR managers [ 36 ]. Organizational culture/structure significantly impacts the healthcare sector, such as excellence in healthcare delivery, ethical values, engagement, professionalism, cost of care, commitment to quality and strategic thinking, which are key cultural determinants of high-quality care delivery [ 37 ]. Therefore, as with other for-profit organizations, healthcare organizations must ensure that their organizational structure functions effectively to achieve their strategic goals. The organization formulates and implements HRM, an important task to achieve the development strategy goals.

Staff recruitment and allocation

Recruitment and staffing are the first steps in hospital HRM activities. Under the guidance of the organization’s human resources development plan, potential staff who meet the development conditions are attracted. Through the scientific selection of outstanding personnel, a platform with guaranteed treatment and development prospects is provided to ensure that the team of the healthcare organization is built solidly and meets the development needs. From the findings of this study, the keywords “workforce” and “workload” appear as high-frequency keywords in the co-occurrence analysis. Still, keywords related to traditional staff recruitment (e.g., analysis of recruitment needs, job analysis, competency analysis, recruitment procedures, and strategies) do not appear often. Recruitment and staffing are the prerequisites of human resources work. They bring a new dynamic source to healthcare organizations while complementing staff, making the organization full of vitality and vigor, facilitating organizational innovation and management innovation and helping improve the healthcare organization’s competitive advantage [ 38 ]. Recruitment and staffing, as a part of HR, directly impact the successful running of daily activities.

Training and development

Human resource training is an important component of quality and safety in the health care system. The keyword “education and training” shows a high frequency of co-occurrence in the clustering results of analysis, corresponding to the module “training and education”. However, it is connected to the keywords “human resource management” and “health policy”, and is in the same cluster with” public health”, “health care management”, and the distance between the lines and dots indicate that these topics are closely related, proving the importance of education and training in the HRM of health systems. Healthcare organizations (especially for non-professionals and caregivers) can improve the performance of their employees by enhancing their capabilities, knowledge and potential through learning and training, so that they can maximize their qualifications to match the demands of their work and advance their performance [ 39 , 40 ].

Performance management

Performance management, the core of the six modules, is also featured in the clustering results. Although this is an important focus for HR professionals, few studies have explored the link between HRM and health sector performance [ 6 ], the results show “performance” and “motivation”. The effectiveness of performance management is an important component of HRM, which effectively improves the quality of care in healthcare organizations/institutions [ 6 ]. Focusing on the effectiveness of performance management is considered to be crucial. First, as an integral part of HRM within an organization, it can help the organization meet its goals. Second, ineffective approaches can lead to negative attitudes among employees (including clinicians, nursing staff, administrators, etc.) and adversely affect performance due to decreased satisfaction among employees and patients. Third, given the increasing quality and cost reduction pressures on healthcare organizations, conducting further research on performance management and effectiveness is critical [ 41 ]. However, it is clear from our results that healthcare organizations have recognized the importance of performance management and are pursuing “high performance”. Although the topic of performance management in HRM in healthcare is one of the research priorities, the number is lacking and more discussion on performance management should be suggested for future research.

Compensation management

Compensation is an important tool to motivate employees to work hard and to motivate them to work hard. The results of the database's bibliographic analysis show that no keywords directly involved compensation. This indicates that “compensation management” has not been considered a hot topic or a research issue over 30 years of available literature. To clarify the content of this module, we further searched the database of 718 articles with keywords, such as compensation, remuneration, salary, etc., and found that only 35 of them mentioned or discussed compensation, and some years (e.g., 2018, 2009) even had no relevant literature being published. However, issues such as fairness of compensation management and employee compensation satisfaction are still important issues of concern to business management academics [ 42 , 43 ]. The actual situation is that it is difficult to conduct research on compensation management. Most organizations keep their employees’ compensation confidential, and when conducting research, HR managers avoid talking about their employees’ compensation or leave it vague, rendering it impossible for researchers to conduct further research.

Employee compensation is one factor that has the greatest impact on organizational performance. In the future, organizations should be encouraged to scientifically structure their compensation management and empower academic research to establish and implement fair compensation management systems based on empirical research while maintaining the privacy and security of organizational information.

Employee relations management

The connotation of employee relations management involves organizational culture and employee relations, as well as the coordination of the relationship between employers and employees. Healthcare organizations have complex structures with employees with varying skills, tasks or responsibilities, and such conflicts are often managed through the communication skills of administrative staff [ 44 ]. Although the keywords related to “employee relations management” did not occur in this study's analysis results, the six HRM modules are closely related. Therefore, this does not mean that no description of employee relations management was completely absent in the retrieved articles. It is clear that there is currently a lack of research on employee relations management in the healthcare field. Still, with the continuous development of the healthcare industry, it faces multiple challenges. If employee relations are not handled properly, healthcare organizations with social responsibility will face great public pressure, which will even affect the quality of healthcare services and performance, so it is especially important to strengthen the research on employee relations management.

This study inevitably has some limitations, the first of which arises from using quantitative methods to review documents in the field of HRM. The review relied on an analysis of the bibliographic data associated with the documents rather than a review of the research findings. The impact of the study was, therefore, limited to the general direction of developments in the field, rather than a synthesis of research findings. As a result, we may have missed some publications due to database bias. Second, most of the publications identified were in English and some articles relevant to other languages have not been included. Third, Since HRM exists in a wide range of industries and research areas, although researchers have set the screening criteria as detailed as possible, there may still be some literature that has not been detected.

This study describes the current state and global trends in HRM research in healthcare. The United States has made significant contributions in this field, establishing itself as a global leader. It is foreseeable that more and more publications will be published in the coming years, which indicates that HRM research in healthcare is booming. The analysis results of this study echoed the modules of HRM. It can be seen that in the current HRM research, many topics have been of interest. However, the focus and hotspots of the research are scattered, and there is presently no systematic research on the content of HRM in healthcare.

Availability of data and materials

All data and materials generated or analysed during this study are included in this published article.

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Acknowledgements

The authors thank the Editor-in-Chief and the referees for their helpful comments which help to improve our manuscript significantly.

This research was supported by Chinese Academy of Medical Sciences and Peking Union Medical College, China (Grant number: 2021-RC630-001).

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School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China

Xiaoping Qin, Zhiyuan Hu & Bing-Long Wang

College of Medical and Health Science, Asia University, Taichung, 41354, Taiwan

Yu-Ni Huang

Department of Education, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China

Kaiyan Chen

Department of Innovative Medical Research, Hospital Management Institute, Chinese People’s Liberation Army General Hospital, Beijing, 100853, China

Affiliation Program of Data Analytics and Business Computing, Stern School of Business, New York University, New York, 10012, United States of America

Richard Szewei Wang

Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055, China

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BW, ZH and LLconceived of the presented idea. BW, developed the theory. BW, YH, RW, KC and XQ collected the data and discussed the results. BW and YH encouraged XQ to investigate the hospital management field and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.

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Correspondence to Bing-Long Wang .

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Qin, X., Huang, YN., Hu, Z. et al. Human resource management research in healthcare: a big data bibliometric study. Hum Resour Health 21 , 94 (2023). https://doi.org/10.1186/s12960-023-00865-x

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Received : 28 March 2023

Accepted : 02 October 2023

Published : 05 December 2023

DOI : https://doi.org/10.1186/s12960-023-00865-x

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