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Huang, X., Chang, L. H., Veermans, K., & Ginter, F. (2024). Breakpoints in Iterative Development and Interdisciplinary Collaboration of AI-Driven Automated Assessment. In IEEE (Ed.), 2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET) (pp. 1-10). IEEE.
https://doi.org/10.1109/ithet61869.2024.10837673

has been cited by the following article:

• TITLE: The Impact of Human Resource Management on Evaluating Administrative Staff Performance in Saudi Universities

  AUTHORS: Waleed A. M. Algaradi

  KEYWORDS: Human Resource Management, Performance Evaluation, Administrative Staff, Saudi Universities, HR Policies

  JOURNAL NAME: Journal of Human Resource and Sustainability Studies, Vol.14 No.2, June 25, 2026

  ABSTRACT: This study examines the impact of human resource management (HRM) on the evaluation of administrative staff performance in Saudi universities. It explores key HRM functions, including recruitment, training, incentives, and performance assessment, and their role in enhancing employee efficiency. A descriptive survey method was employed, collecting data from 294 HR employees in public Saudi universities. Statistical analysis using SPSS and Smart PLS software revealed that HRM practices significantly influence performance evaluation, with modern evaluation standards improving efficiency. The findings provide insights into optimizing HRM policies and enhancing administrative performance in higher education institutions.