Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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All Journal Journal of Management Studies and Development
T. Venkatesan
K.S.Rangasamy College of Technology
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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The Advent of AI-Driven Finfluencers and Automation in Financial Supervision Venkatesan, T.; Ramdan, Asep Muhamad; Stephen, A.
Journal of Management Studies and Development Vol. 5 No. 01 (2026): Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jmsd.001997

Abstract

Over the past two decades, artificial intelligence (AI) has experienced rapid development and has been increasingly applied across various sectors, including finance. Alongside this technological advancement, a growing body of research has examined the use of AI-driven tools in financial services, particularly the emergence of finance influencers, commonly referred to as “finfluencers.” These actors leverage AI technologies to deliver personalized financial insights, automated investment advice, and real-time market analysis to a broad and diverse audience. AI-enabled finfluencer platforms offer advantages such as accessibility, continuous availability, data-driven recommendations, and enhanced monitoring of market trends, which appeal to investors seeking timely and customized financial guidance. However, the integration of AI and finfluencers also raises concerns related to reliability, ethical considerations, regulatory oversight, and decision-making accountability. This study aims to examine key AI applications in the financial sector, identify major finfluencer models and collaboration patterns, and discuss their implications for financial advisory practices. The paper further outlines future research directions to support responsible and effective AI-driven financial advisory systems.
Understanding Behavioural Finance: Investor Psychology and Market Anomalies Venkatesan, T.; Viswaprakash, V.; Alexzander, R.
Journal of Management Studies and Development Vol. 5 No. 02 (2026): Article in Press - Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.jmsd.001998

Abstract

This study explores the evolving field of behavioral finance, focusing on how psychological factors influence investor decision-making and contribute to persistent market anomalies. Unlike traditional financial theories that assume rational behavior and efficient markets, behavioral finance integrates cognitive biases, emotional influences, and social dynamics to explain deviations from expected market outcomes. The research examines key behavioral concepts such as overconfidence, loss aversion, herding, and framing effects, and their implications for asset pricing, risk perception, and investor behavior. Drawing upon recent empirical and theoretical work from both global and Indian contexts (2020–2025), the study highlights how these psychological elements lead to mispricing and volatility in financial markets. The findings suggest that incorporating behavioral insights can improve investment strategies, regulatory frameworks, and financial literacy programs. By advancing a multidisciplinary approach, this paper contributes to a deeper understanding of real-world financial behavior and calls for more adaptive and inclusive financial systems.
Co-Authors Alexzander, R. Asep Muhamad Ramdan Stephen, A. Viswaprakash, V.