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Pay satisfaction bibliometric research and its implications

Published online by Cambridge University Press:  07 January 2026

Sandra Montalvo-Arroyo*
Affiliation:
Business Management Department II, University of Granada, Granda, Spain
Alejandro Ortiz-Perez
Affiliation:
Department Management, Education, Economics, and Technology School, University of Granada, Campus Ceuta S/N, Ceuta, Spain
M. Dolores Vidal-Salazar
Affiliation:
Business Management Department II, University of Granada, Granda, Spain
José Manuel de la Torre-Ruiz
Affiliation:
Business Management Department II, University of Granada, Granda, Spain
*
Corresponding author: Sandra Montalvo-Arroyo; Email: smontalvo@ugr.es
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Abstract

Pay satisfaction is an important topic in core domains of human resource management, such as employee engagement, motivation, and job satisfaction. We present an overview of the research on pay satisfaction by conducting a bibliometric analysis to examine the performance and intellectual structure of the pay satisfaction literature, curated from 539 articles in the Web of Science between 1966 and 2024. Using citation and co-word analysis with VOSviewer software, we identified emerging themes, dominant trends, and critical knowledge gaps. Our review highlights (1) the most cited articles, (2) the most prolific authors, journals, countries, affiliations and (3) the major clusters or themes of research. The results provide practical insights for management and suggest future research directions to strengthen the strategic relevance of pay satisfaction in organizational contexts.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press in association with Australian and New Zealand Academy of Management.
Figure 0

Figure 1. Methodological flowchart of the research.

Source: Adapted from Öztürk et al. (2024).
Figure 1

Table 1. Web of Science Consultation on Pay Satisfaction

Figure 2

Figure 2. Flow of inclusion and exclusion criteria applied to the dataset.

Source: Adapted from Moher et al. (2009).
Figure 3

Figure 3. Publication impact by year on pay satisfaction.

Note: The dataset includes articles published up to 2024. The figure is based on a sample of 539 articles from data obtained from the Web of Science database. Source: own elaboration.
Figure 4

Table 2. Most cited publications in the dataset

Figure 5

Table 3. Summary of the most cited articles in the sample according to their relevance

Figure 6

Table 4. Most prolific authors in the dataset

Figure 7

Table 5. The most active journals in the dataset

Figure 8

Table 6. The most active countries in the dataset

Figure 9

Table 7. The most active affiliations in the dataset

Figure 10

Table 8. Top ten most frequent keywords by cluster

Figure 11

Figure 4. Keyword co-occurrence network map.

Note: All keywords network map of co-occurrences of the 539 articles dealing with compensation satisfaction from 1966 to 2024. Node size: occurrences. Minimum number of 5 documents. Out of 1,984 Keywords, 142 meet the threshold. Cluster #1 (red) ‘gender’; cluster #2 (green) ‘commitment’; cluster #3 (blue) antecedents; cluster #4 (yellow) ‘job satisfaction’; cluster #5 (purple) ‘performance’; cluster #6 (cyan) ‘motivation.’ Source: authors’ elaboration through VOS viewer. Readers interested in an in-depth analysis can use VOS viewer interactively and zoom in on the map at the following URL: https://tinyurl.com/2c4339fu.
Figure 12

Figure 5. Keyword co-occurrence overlay map.

Note: All keywords network map of co-occurrences of the 539 articles dealing with compensation satisfaction from 1966 to 2024. Node size: occurrences. Minimum number of 5 documents. Out of 1,984 Keywords, 142 meet the threshold. Minimum score (Avg. Pub. Year) is 2007 (i.e., keywords from 1966 to 2007) blue, the intermediate score is 2008-2019, green, and the maximum score is 2020 (i.e., keywords 2020-2024), yellow. Source: authors’ elaboration through VOS viewer. Readers interested in an in-depth analysis can use VOS viewer interactively and zoom in on the map at the following URL: https://tinyurl.com/2c4339fu.
Figure 13

Table 9. Summary of the relevance of contextual differences

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