Mixed-methods research reveals AI's impact on HRM challenges and cross-cultural education effectiveness.
The rapid advancement of artificial intelligence (AI) technologies has created unprecedented opportunities to transform global educational landscapes while simultaneously addressing complex human resource management (HRM) challenges in cross-cultural contexts. This research examines the integration of AI-driven educational platforms with HRM practices to develop cross-cultural competencies essential for global workforce management. The study identifies significant research gaps including insufficient integration of AI in cross-cultural HRM practices, persistent digital divides in emerging economies, ethical concerns regarding AI implementation across diverse cultural contexts, and limited understanding of long-term workforce readiness impacts. The primary objective is to investigate how AI-enhanced educational frameworks can bridge global talent development gaps while fostering culturally sensitive HRM practices. Employing a mixed-methods approach combining systematic literature review with case study analysis, this research synthesizes findings from 30 peer-reviewed articles spanning 2021-2025. Key findings reveal that AI-driven HRM systems significantly enhance employee resilience and adaptive performance when integrated with self-determination theory principles, while ethical AI implementation in hiring processes substantially impacts organizational trust and attractiveness. The research demonstrates that strategic AI integration in educational contexts can effectively address cross-cultural communication barriers and improve global talent development outcomes. Practical implications include the development of culturally adaptive AI frameworks for HRM practices, establishment of ethical guidelines for AI implementation across diverse organizational contexts, and creation of sustainable digital education models that bridge geographical and cultural divides in global workforce development.
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Pallavi Priya Silveira (2025) studied this question.
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