Published: 2026-01-01
Achievement of SDGs Through the Role of Artificial Intelligence in Human Resources from a Gen-Z Perspective
DOI: 10.35870/emt.v10i1.5424
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Abstract
The rapid advancement of the industrial revolution and digital transformation has reshaped organizational systems, particularly in Human Resource Management (HRM), by introducing artificial intelligence (AI) as a tool for efficiency, effectiveness, and innovation. However, the challenge lies in ensuring that AI-based HRM practices align with sustainable development goals (SDGs). This study aims to explore how Digital Business graduates and undergraduate students, representing Generation Z as the future workforce, perceive the role of AI in HRM and its contribution to achieving specific SDGs, namely: SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), and SDG 11 (Sustainable Cities and Communities). Using an exploratory qualitative approach, two focus group discussions were conducted with 40 participants consisting of students and graduates who have completed internships or worked in industries applying AI in HRM. The findings highlight that participants perceive AI as enhancing recruitment, training, performance evaluation, and data-driven decision-making. However, challenges such as data security, digital literacy gaps, and organizational culture resistance remain significant. The contribution of this study lies in emphasizing the perspective of Gen Z, who not only experience but also drive digital transformation in HRM. Their insights reveal the potential of AI to accelerate SDG achievements while underscoring the need for competency development in technology literacy and data analysis. Practical implications are directed to higher education institutions for curriculum adjustments and to organizations for fostering adaptive, innovative, and sustainable HR practices in the digital era.
Keywords
Artificial Intelligence ; Human Resource Management ; Digital Transformation ; Generation Z ; SDGs
Article Information
This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 10 No. 1 (2026)
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Section: Articles
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Published: %750 %e, %2026
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License: CC BY 4.0
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Copyright: © 2026 Authors
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DOI: 10.35870/emt.v10i1.5424
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Btari Mariska Purwaamijaya
Universitas Pendidikan Indonesia, Bandung City, West Java Province, Indonesia.
Yogi Prasetyo
Universitas Pendidikan Indonesia, Bandung City, West Java Province, Indonesia.
Sulaeman Rahman Nidar
Universitas Padjajaran, Sumedang Regency, West Java Province, Indonesia.
Alifia Fatimatun Nazya
Universitas Padjajaran, Sumedang Regency, West Java Province, Indonesia.
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