The Bibliometric Analysis of Herding Behavior


International Research Journal of Economics and Management Studies
© 2025 by IRJEMS
Volume 4  Issue 6
Year of Publication : 2025
Authors : Rifka Indi
irjems doi : 10.56472/25835238/IRJEMS-V4I6P117

Citation:

Rifka Indi. "The Bibliometric Analysis of Herding Behavior" International Research Journal of Economics and Management Studies, Vol. 4, No. 6, pp. 143-150, 2025.

Abstract:

Herd behavior is a pervasive phenomenon influencing decision-making across financial markets, economics, management, and social psychology. This study presents a comprehensive bibliometric analysis of research on herd behaviour from 1974 to 2025, encompassing 1,418 scholarly documents sourced from the Scopus database. Employing tools such as VOSviewer and Bibliometrics, the analysis reveals the intellectual structure, thematic evolution, and key contributors shaping the field. Six major research clusters emerge, spanning behavioral finance, digital assets, institutional herding during crises, the impact of social media and machine learning, methodological advancements, and interdisciplinary approaches in emerging markets. This study fills a critical gap by offering a systematic, data-driven overview that informs both academic inquiry and practical policy development. The findings provide a valuable foundation for future research on herd behavior’s implications for market efficiency, investor psychology, and regulatory frameworks in an increasingly complex and digitalized global economy.

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Keywords:

Herd Behavior; Behavioral Finance; Bibliometric Analysis.