Mapping the Intellectual Structure of Entrepreneurial Psychology and Artificial Intelligence in Financial Decision-Making

Abstract

This research is aimed at mapping the intellectual landscape of a research that involves the combination of Entrepreneurial Psychology with Artificial intelligence (AI) in Financial Decision-Making through bibliometric analysis. The data were gathered in Scopus database between the years 2012 and 2025 and analyzed using the VOSviewer using the co-authorship and co-occurrence methods. The paper establishes the key authors, institutions, and countries as well as trends in publications and significant research themes that characterize this interdisciplinary practice. Findings indicate that publications have risen significantly since 2020, which is associated with the rising relevance of AI-based behavioral information in finance and entrepreneurship. The networks of the co-authors indicate the moderate collaboration of the researchers, whereas the keyword analysis reveals ten major thematic groups, such as artificial intelligence, behavioral finance, entrepreneurial decision-making, risk perception, and machine-learning applications

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