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Mapping 25 Years of Emotion-Driven Decision Making in Economics and Finance: Insights Into Behavioral and Emotional Finance
Abstract
This chapter analyses the evolution and thematic diversity of emotion-driven research in economics and business finance disciplines over the last 25 years from a bibliometric perspective. Analyses of 2,889 studies from the Web of Science (WOS) database reveal a steady increase in the number of publications over time, but a relative decline in the number of citations in recent years. Thematic analyses show that early studies were mainly shaped around cognitive biases in individual decision processes and behavioural finance perspective. More recently, artificial intelligence and neuroscience-based approaches have started to appear, but have not yet become dominant. This chapter emphasises that in the future, interdisciplinary methods, especially text mining and the use of biometric data, will make significant contributions to the literature both theoretically and methodologically.
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