Mapping the Integration of AI into Business Education: Insights from a Decade of Research

Abstract

This study aims to systematically map the evolving landscape of artificial intelligence (AI) integration into business education, highlighting dominant research themes, emerging gaps, and future research directions. Adopting a bibliometric analysis framework, the study analyzed 213 peer-reviewed journal articles published between 2015 and 2024, extracted from the Dimensions database. Bibliographic coupling and co-word analysis, facilitated through VOSviewer, were employed to uncover intellectual structures, thematic clusters, and conceptual linkages within the field. The results identified four major research clusters: AI-driven business education transformation, innovative digital pedagogies, AI-enhanced personalization of learning, and business education aligned with the digital economy. Co-word analysis further revealed three conceptual trends: technological transformation, integration of generative AI tools, and advancements in educational quality. Persistent gaps emerged concerning curriculum coherence, educator readiness, and assessment validity. This study offers actionable guidance for educators, curriculum developers, and policymakers to design AI-integrated, ethically grounded, and adaptable business education models that meet the demands of an AI-driven global economy. This study provides a comprehensive, empirical foundation for future research agendas and strategic educational reforms