From Cognitive Bias to Technological Intervention: A Systematic and Bibliometric Review of Technology's Role in Investor Behavioral Biases (International Journal of Business and Management (IJBM))
Summary
- A systematic bibliometric review analyzed 166 Scopus indexed publications from 1991 to 2025 using Biblioshiny and VOSviewer.p.1
- The initial literature search identified 289 records from Scopus, after which 123 records were excluded based on eligibility criteria.p.5
- Author analysis reveals that Bhatia and Chandani are leading contributors, each publishing 3 documents in the reviewed dataset.p.6
- The Journal of Behavioral Finance stands out as the most productive publication outlet with 4 articles.p.7
- Symbiosis International (Deemed University) ranks as the top academic institution by publication output, contributing 9 articles.p.7
- In keyword co-occurrence analysis, investment is the most frequent keyword with 33 occurrences, followed by sentiment analysis with 21 occurrences.p.9
Key insights
- Research on technology-driven behavioral finance accelerated markedly after 2017, driven by AI sentiment modeling and cryptocurrency market analytics.p.1
- Prospect theory establishes that investors perceive gains and losses asymmetrical, exhibiting risk-seeking behavior toward losses and risk-aversion toward gains.p.2
- Financial technology does not significantly alter bias-driven decisions among millennial investors, whereas financial literacy acts as a moderating factor.p.3
- Overconfidence bias persisted in the Indian equity ETF market during both the pre-COVID and COVID periods, with past returns driving current trading volumes.p.3
- Tax aversion bias in financial markets diminishes when investors gain experience and receive direct feedback.p.4
- Academic research contributions in behavioral finance from India experienced a steep increase, making it a leading country contributor by 2024.p.8
- Existing literature in this domain relies primarily on cross-sectional data from Scopus, leaving Web of Science, PubMed, and IEEE Xplore unexplored.p.11
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Topics and entities
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