AI-Enabled Human Resource Management in Emerging and Transitional Economies
AI-Enabled Human Resource Management in Emerging and Transitional Economies
Author(s): Ali Abdul-Hussein SALMANSubject(s): Economy, Supranational / Global Economy, Business Economy / Management, Human Resources in Economy, ICT Information and Communications Technologies
Published by: RITHA Publishing
Keywords: artificial intelligence; predictive analytics; human capital; decision-making; data-driven management; structural transformation;
Summary/Abstract: This study investigates the transformative impact of Artificial Intelligence (AI) and predictive analytics on decision-making processes within Human Resource Management (HRM), framed as a structural reform in the modern service economy. As emerging and transitional economies integrate Industry 4.0 technologies, the ability to optimize human capital through data-driven insights becomes a critical determinant of firm-level sustainability. Utilizing a cross-sectional survey and Structural Equation Modelling (SEM), the research evaluates how AI-generated insights influence strategic workforce planning, talent acquisition, and employee retention. The findings indicate that AI adoption significantly enhances decision-making accuracy, reduces operational friction, and optimizes resource allocation within the labour function. The study concludes that the structural integration of predictive analytics is essential for sustaining competitive advantage and financial resilience in volatile market environments.
Journal: Journal of Applied Economic Sciences (JAES)
- Issue Year: XXI/2026
- Issue No: 1(91)SI
- Page Range: 261-273
- Page Count: 13
- Language: English
