Abstract
Performance management is crucial for the organization and plays a vital role in improving employee performance and achieving overall organizational success. This research aims to explore trends in performance management to provide valuable insights for future researchers. To accomplish this, metadata from 6,401 publications spanning the period from 1996 to 2025 were retrieved from Scopus. The data were then systematically analyzed using tools such as RStudio, VOSviewer, and MS Office. The findings indicate that performance management continues to attract researchers interest, and the literature published from 1996 to 2005 shows a strong impact in this field. Additionally, the study reveals that articles and conference papers dominate the field, accounting for 69% and 16.9% of the total, respectively, while reviews and book chapters are underrepresented. Since these categories are essential for knowledge sharing in academic research, it is suggested that future researchers focus more on them. The research also found that journals typically take up to five years to publish accepted works, and it recommends that journals expedite the publication process to support the career advancement of research. Furthermore, the study identified keywords such as artificial intelligence, performance management, and competitive advantage and suggested that future researchers focus on identifying obstacles faced by firms while integrating artificial intelligence in performance management to boost employee productivity, gain competitive advantage, and achieve overall organizational success.
Keywords: Annual Scientific Production, Citation Analysis, Co-Occurrence Analysis, Performance Management, Term Analysis, Trending Topic Analysis.