BIBLIOMETRIC ANALYSIS OF THE CURRENT STATE OF RESEARCH IN THE FIELD OF COGNITIVE TECHNOLOGIES IN LOGISTICS

This study explores the development of cognitive technology in logistics research from 1998 to 2023 through a bibliometric analysis. Using data from the Web of Science Core Collection and Scopus, the research examines how knowledge in this field has evolved, focusing on global knowledge exchange and emerging research trends. The study employs a quantitative approach, utilizing a bibliometric analysis model supported by specific research questions. The analysis covers document sources, geographic origins, publishers, document types, and publication peaks. A keyword connection map illustrates key findings, revealing notable differences in publication numbers between the two databases, with Scopus containing a broader range of research areas. The United States is identified as a leading source of publications, primarily scientific articles. Key themes include demographics, controlled studies, cognition, logistics, machine learning, and technology. The research highlights the importance of bibliometrics in understanding knowledge dynamics and suggests further exploration of cognitive technologies in Logistics.