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TRV-2026-0185Certified recordPeer-reviewed

Determinants of Artificial Intelligence Adoption in Public Sector Human Resource Management: Empirical Evidence from Kazakhstan

As governments worldwide seek to modernise public administration through digital technologies, understanding the drivers and barriers of Artificial Intelligence (AI) adoption in Human Resource Management (HRM) becomes critically important. This paper investigates determinants of AI adoption among civil servants in Kazakhstan using a largescale empirical survey of 12,562 public servants conducted in June 2025. We construct and validate composite indices of internal and external HR quality factors (Cronbach's α =…

Labor · G Space — documented gain · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — gain

Among 12,562 Kazakhstan civil servants, access to modern digital tools and managerial position increased active AI adoption in public-sector HRM.

What this doesn’t fix

Binary logistic model for AI adoption explains very little variance, indicating most determinants of adoption remain unmeasured.

Evidence

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Truvace Impact Record TRV-2026-0185, v1: “Determinants of Artificial Intelligence Adoption in Public Sector Human Resource Management: Empirical Evidence from Kazakhstan.” Truvace, 2026-07-13. /record/TRV-2026-0185 (accessed at citation time). sha256 a348c002ffc0fbbc…

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