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All Journal Annals of Human Resource Management Research Vifada Management and Social Sciences
Miftachul Mujib
Universitas Tidar, Magelang, Indonesia
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Physics Social Sciences

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Artificial Intelligence-Based Human Resource Performance Assessment for Good University Governance: Meta-Analysis and Systematic Literature Review Shinta Ratnawati; Miftachul Mujib; Ikhwan Alfath Nurul Fathony; Khairul Ikhwan; Dewi Anggraeni; Bagus Fauzan Azhari
Annals of Human Resource Management Research Vol. 6 No. 1 (2026): March
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ahrmr.v6i1.3640

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.
The Adoption of ChatGPT in SME Human Resource Practices: Integrating TOE–TAM with Trust as a Mediator and Religiosity as a Moderator Hanung Eka Atmaja; Suddin Lada; Shinta Ratnawati; Miftachul Mujib; Satrio Tegar Sadewo; Raina Dewi Aldianti
Vifada Management and Social Sciences Vol. 4 No. 1 (2026): January - June
Publisher : Yayasan Vifada Cendikia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70184/5q341684

Abstract

Purpose: The development of artificial intelligence technology, particularly ChatGPT, presents both opportunities and challenges for Small and Medium-sized Enterprises (SMEs) in enhancing the efficiency of human resource management practices. However, the level of adoption of this technology is still influenced by various complex factors, not only technical but also psychological and individual values. This study aims to analyse the factors influencing the adoption of ChatGPT in SMEs through the integration of the Technology–Organisation–Environment (TOE) framework and the Technology Acceptance Model (TAM), whilst considering the mediating role of trust and the moderating role of religiosity. Research Design and Methodology: This study employs a quantitative approach using a survey method targeting SME operators in Central Java, East Java, and the Special Region of Yogyakarta (DIY). The sampling technique utilised purposive sampling, with a sample size of 200 SME operators meeting the study criteria. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the assistance of SmartPLS software. Findings and Discussion: The results indicate that technological, organisational, and environmental factors, as well as perceptions of ease and utility, play a role in shaping trust in ChatGPT. This trust serves as the primary determinant in driving technology adoption, whilst religiosity was found to strengthen the relationship between trust and usage decisions. These findings confirm that ChatGPT adoption among SMEs is influenced not only by functional aspects but also by psychological factors and individual values. Implications: The implications of this research contribute to the development of a more context-specific technology adoption model based on artificial intelligence, whilst providing practical recommendations for SME stakeholders, technology developers, and policymakers in promoting the effective and sustainable utilisation of ChatGPT.
Co-Authors Bagus Fauzan Azhari Dewi Anggraeni Hanung Eka Atmaja Ikhwan Alfath Nurul Fathony Khairul Ikhwan Raina Dewi Aldianti Satrio Tegar Sadewo Shinta Ratnawati Suddin Lada