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Saboori-Taft, S., Shakhsi-Niaei, M., & Zamani, M. (2025). A Data-Driven Decision Support System for Selecting Managers Based on Their Performance Evaluations over Time. Engineering Applications of Artificial Intelligence, 153, Article 110874.
https://doi.org/10.1016/j.engappai.2025.110874

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• 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.