Research Trends on Motivation and Job Satisfaction: A Scientometric Analysis

<ns3:p>Background This study explores the scientometric dimensions of publications related to “Job Satisfaction” and “Motivation” in the past 10 years by using the required analytical techniques for mapping the research output and metrics. Publication data on job satisfaction, ranging from 2014 to 2023, were extracted from Scopus. Methods The types of records in the literature, including authors, nations, keywords, references, and citation counts, were studied using scientometric analysis. The keywords “Job Satisfaction” and “Motivation” were used to gather all data from the SCOPUS database as of January 10<ns3:sup>th</ns3:sup>, 2025. Both VosViewer and Biblioshiny were used to analyze the data. AScientometric method was used to determine the various parameters that fulfilled the research objectives. Results The study finds that there has been an increasing trend of publications and their corresponding citations from the year 2014 to 2023 and the USA publications received the highest number of citations of 8350, followed by the Netherlands (4832 citations), and the United Kingdom (2595 citations). Conclusion The evolution of publications on “Motivation” and “Job Satisfaction” from 2014 to 2023 showed a steady growth rate, despite annual variations over the previous ten years. Research on job satisfaction and motivation has advanced through the work of authors from the USA. We mapped the entire research structure and features of job satisfaction research over the past decade. This was accomplished by examining the research topics of motivation and the analysis revealed a gradual rise in scientific output on the subject of “Job Satisfaction” and “Motivation” from 2014 to 2023. Overall, the study’s findings show that research productivity in the Human Resource Management literature is increasing, which seems to be a healthy trend. The findings of this study add niceties to the corpus of existing literature.</ns3:p>