AHRMR

Article Details

Vol. 6 No. 1 (2026): March

Artificial Intelligence-Based Human Resource Performance Assessment for Good University Governance: Meta-Analysis and Systematic Literature Review

https://doi.org/10.35912/ahrmr.v6i1.3640
31 Mar 2026

Abstract

Purpose: This study examines the role of Artificial Intelligence (AI)-based Human Resource (HR) performance evaluation in enhancing Good University Governance (GUG), particularly in improving accountability, transparency, efficiency, and responsiveness in higher education institutions.

Research Methodology: A Systematic Literature Review (SLR) and meta-analysis were conducted on 65 peer-reviewed articles published between 2015 and 2025, sourced from Scopus, Web of Science, and ScienceDirect. The effect sizes were calculated, and heterogeneity tests were performed to ensure the robustness of the findings.

Results: The results reveal that AI-based HR performance evaluation has a moderate to strong positive relationship with governance effectiveness (r = 0.45) and a moderate positive relationship with governance transparency (r = 0.33). These findings indicate that AI enhances data accuracy, reduces subjective bias, and supports more efficient and consistent decision-making in higher education governance.

Conclusions: This study concludes that AI integration in HR performance evaluation significantly contributes to the implementation of GUG principles. It offers both theoretical contributions to digital governance literature and practical implications for university leaders and policymakers.

Limitations: This study is limited by the scope of the 65 selected articles, which may not fully represent all existing research on AI-based HR evaluation in higher education contexts.

Keywords

Artificial Intelligence Good University Governance Human Resource Performance Assessment Transparency

How to Cite

Ratnawati, S., Mujib, M., Fathony, I. A. N., Ikhwan, K., Anggraeni, D., & Azhari, B. F. (2026). Artificial Intelligence-Based Human Resource Performance Assessment for Good University Governance: Meta-Analysis and Systematic Literature Review. Annals of Human Resource Management Research, 6(1), 251–270. https://doi.org/10.35912/ahrmr.v6i1.3640

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Authors

1 . Shinta Ratnawati
Universitas Tidar, Magelang, Indonesia
2 . Miftachul Mujib
Universitas Tidar, Magelang, Indonesia
3 . Ikhwan Alfath Nurul Fathony
Universitas Tidar, Magelang, Indonesia
4 . Khairul Ikhwan
Universitas Tidar, Magelang, Indonesia
5 . Dewi Anggraeni
Universitas Tidar, Magelang, Indonesia
6 . Bagus Fauzan Azhari
Universitas Tidar, Magelang, Indonesia

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Vol. 6 No. 1 (2026): March
Section: Articles
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