Data for AI and Leadership

This dataset supports the systematic literature review on leadership styles, characteristics, challenges, theoretical frameworks, and benefits associated with the implementation of Artificial Intelligence (AI) in organizations. The research is grounded in the social constructivist paradigm and adopts a hybrid systematic narrative approach to literature review. Using structured Boolean search strategies across Web of Science (WoS), Scopus, and SSCI indexed journals, 193 articles were shortlisted for final analysis. The dataset contains raw frequency counts, co-occurrence codes, and normalized tables summarizing emergent themes such as leadership styles, leadership characteristics, AI adoption challenges, theoretical frameworks, and organizational benefits.