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Rusnandari Retno Cahyani
Universitas Sahid Surakarta, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Educational Management and Instruction (JEMIn)

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Balancing bytes and biases: A case study of AI adoption in academic human resource management Cahyani, Rusnandari Retno; Musslifah, Anniez Rachmawati
Journal of Educational Management and Instruction (JEMIN) Vol. 5 No. 2 (2025): July-December 2025
Publisher : UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/jemin.v5i2.11679

Abstract

The integration of Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM), yet its adoption within the unique context of higher education institutions remains underexplored, particularly in developing nations. This study addresses this gap by investigating the application and implications of AI in core HRM functions, specifically recruitment, performance evaluation, and workforce planning, at a public university in Indonesia. Adopting an exploratory qualitative case study methodology, this study sourced data from twelve purposively selected stakeholders, including HR managers, academic leaders, and IT personnel, through semi-structured interviews, document analysis, and non-participant observation. The collected data were systematically analyzed using thematic analysis, revealing a dual impact of AI adoption. While AI integration significantly enhances operational efficiency by automating recruitment screening and supporting data-driven workforce planning, it also introduces critical challenges, including the risk of algorithmic bias, a lack of transparency, and the potential erosion of human judgment in culturally sensitive evaluations. The study concludes that successful AI implementation in academic HRM is contingent upon institutional readiness, a supportive organizational culture, and a robust technological infrastructure. By applying the Technology-Organization-Environment (TOE), Technology Acceptance Model (TAM), and Diffusion of Innovation (DoI) frameworks, this research contributes a nuanced understanding of the factors shaping AI adoption in higher education, underscoring the necessity of a balanced approach that leverages AI's benefits while preserving essential human oversight in university administration.
Co-Authors Adelina Murti Syafiina Agung Nurmansyah Amaraningtyas, Adila Eva Andressia Yeiza Putri Anggit Dyah Kusumastuti Anggit Dyah Kusumastuti Anggraeni Putri, Adhelya Jeanie Anniez Rachmawati Muslifah Anniez Rachmawati Musliffah Anniez Rachmawati Musliffah Anniez Rachmawati Musslifah Anniez Rachmawati Musslifah Annisa Indah Mutiasari Annisa Indah Mutiasari Annisa Sabila Rachmasari Asri Laksmi Riani Asri Laksmi Riani Azzahra Putri, Inas Budi Wahyono, Budi Della Nur Shayidah Destina Paningrum Destina Paningrum Destina Paningrum Destina Paningrum Destina Paningrum, Destina Desy Rosiana Desy Triastuti Diva Mahes Wari Dynda Hesta Monita Edi Kurniadi Edi Kurniadi Emalia Yunika Faqih Purnomosidi Firdhaus Hari Saputro Al Haris Hadi, Alfiansyah Hanik Kuriyah Hanik Kuriyah, Hanik Hastuti Rifayani Hastuti, Isnaini Budi Hastuti, Tri Puji Hidayah, Mila Nur Indah Ayu Karlina Indah Ayu Karlina, Indah Ayu Intan Nurrohmah, Rahmadini Juni Trisnowati Kanestren Salsabila Kohar Sulistyadi Kumalasari, Galuh Niken Kus Isnawati, Kus Kusumastuti, Anggit Dyah Lestari, Indah Ayu Puji Mahatmana Krisna Herduna Putra MUGI HARSONO Mutiasari, Annisa Indah Nugroho B Sukamdani Nurhayati . Prihatini, Prima Puput Kurniawati Purwanto . PUTRI WULANSARI Rahmadini Intan Nurrohmah Rini Mutianisa Salma Nurul Fadhilah Fadhilah Salman Faris Isnaini, Salman Faris Sarsiti . Sri Huning Anwariningsih Sri Wahyu Agustiningsih, Sri Wahyu Sri Winarno Sri Winarno Tri Puji Hastuti Viona Rahmawati Jubaidah Viony Rahmawati Wulandari, Niken Tri Yuliastuti, Handini