Early-stage mapping of human and organizational impacts of generative artificial intelligence in business contexts: A bibliometric analysis

The rapid advancement of generative artificial intelligence (GenAI) as a disruptive technology highlights the need for a systematic understanding of its human, organizational, and managerial implications. This bibliometric study examines the effect of GenAI within business and management research through an empirical assessment lens. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 298 peer-reviewed empirical studies were retrieved from the Scopus (Elsevier) database. VOSviewer and Biblioshiny were used to analyze influential publications, authors, journals, countries, keyword trends, and emerging research themes. Bibliographic coupling explored the seven major research clusters comprising eighteen sub-themes, demonstrating how GenAI adoption influences human behavior, workplace interactions, managerial decision-making, and customer engagement. This study provides an early-stage mapping of the human and organizational impacts of GenAI in business contexts. The findings offer theoretical and practical insights by identifying critical gaps related to trust, ethical governance, and human-AI collaboration, thereby enlightening scholars, practitioners, and policymakers on responsible GenAI implementation.