A BIBLIOMETRIC ANALYSIS OF HUMBLE LEADERSHIP IN THE AGE OF ARTIFICIAL INTELLIGENCE

Abstract

In the context of the Artificial Intelligence (AI) era reshaping organizational structures, humble leadership has become a humane and effective approach to management. This study performs a bibliometric analysis to organize the overall development of humble leadership theory. Data were gathered from two renowned academic databases, Web of Science (WOS) and Scopus, including 333 scientific publications screened according to PRISMA standards. Using the Biblioshiny soft-ware on the RStudio platform, the researcher conducts a scientific mapping to assess publication performance, author collaborations, country contributions, and the main thematic clusters. The findings show that this field is growing rapidly, with an annual growth rate of 23.24%. China and the United States lead in research output, reflecting the influence of traditional cultural values and the pressures of digital transformation on AI superpowers. Keyword co-occurrence network analy-sis highlights 'Performance' as the core variable, linked through the mechanism of “Psychological safety.” The study points out a key research gap: although publication output has surged with the rise of AI, keywords directly related to technology are still scarce in the current network, and fur-ther exploration of potential mediating and moderating variables is needed. The study concludes by proposing future directions for incorporating AI as a mediating or moderating factor to help leaders effectively manage human-machine interactions and improve sustainable organizational performance.