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International Journal of Management and Sustainability Practices

International Journal of Management and Sustainability Practices

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Behavioral Biases and Investment Decision-Making: The Mediating Role of Trust in AI and the Moderating Role of Financial and Digital Financial Literacy: A Narrative Literature Review

Published in July-Sept 2026 (Vol. 1, Issue 3, 2026)

Behavioral Biases and Investment Decision-Making: The Mediating Role of Trust in AI and the Moderating Role of Financial and Digital Financial Literacy: A Narrative Literature Review - Issue cover

Abstract

Narrative review of the research concerning the link between behavioral biases, investment decision making, and the rise of AI-powered financial technology is presented in this paper. In particular, attention is paid to the impact that the key concepts of behavioral finance such as overconfidence, herding, loss aversion, anchoring, mental accounting, and regret aversion have on the behavior of the investors. Then, the paper proceeds to the analysis of the rising popularity of robo advisors and other AI-powered financial solutions, underlining the importance of investor's trust to these technologies for their adoption and effectiveness. Algorithmic transparency and explainability of AI become particularly notable factors influencing confidence and adoption of AI-generated financial recommendations. The reactions of the investors to both behavioral biases and technology-enabled financial services are considered from the perspective of financial literacy of the investors. The paper suggests that these literacies might help investors cope with the digital nature of finances and make more effective decisions based on data from earlier researches. There is also a mention of the differences between demographic groups, like age or gender. The paper analyzes several researches to reveal common understanding, debates, and gaps in this field not to test any hypothesis. It should be noted that the impact of behavioral biases, investor’s trust, financial literacy, and the development of artificial intelligence in finance is underlined in the conclusion of the paper.

References

  1. [1]Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
  2. [2]Aren, S., & Hamamci, H. N. (2020). Relationship between risk aversion, risky investment intention, investment choices: Impact of personality traits and emotion. Kybernetes, 49(11), 2651–2682. https://doi.org/10.1108/K-07-2019-0455
  3. [3]Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
  4. [4]Baker, H. K., & Ricciardi, V. (2014). How biases affect investor behaviour. The European Financial Review, 10(7), 7–10.
  5. [5]Baker, T., & Dellaert, B. G. C. (2018). Regulating robo-advice across the financial services industry. Iowa Law Review, 103(2), 713–750.
  6. [6]Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), 773–806. https://doi.org/10.1111/0022-1082.00226
  7. [7]Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261–292. https://doi.org/10.1162/003355301556400
  8. [8]Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In G. Constantinides, M. Harris, & R. Stulz (Eds.), Handbook of the Economics of Finance (Vol. 1, pp. 1053–1128). Elsevier.
  9. [9]Bashir, T., Azam, N., Butt, A. A., Javed, A., & Tanvir, A. (2013). Are behavioral biases influenced by demographic characteristics and personality traits? Evidence from Pakistan. European Scientific Journal, 9(29), 277–293.
  10. [10]Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews. Review of General Psychology, 1(3), 311–320. https://doi.org/10.1037/1089-2680.1.3.311
  11. [11]Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial intelligence in fintech: Understanding robo-advisor adoption among customers. Industrial Management & Data Systems, 119(7), 1411–1430.
  12. [12]Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2019). Service robot implementation: A theoretical framework and research agenda. Service Industries Journal, 40(3–4), 203–225. https://doi.org/10.1080/02642069.2019.1672666
  13. [13]Biais, B., Hilton, D., Mazurier, K., & Pouget, S. (2005). Judgemental overconfidence, self-monitoring, and trading performance in an experimental financial market. Review of Economic Studies, 72(2), 287–312. https://doi.org/10.1111/0034-6527.00333
  14. [14]Bikhchandani, S., & Sharma, S. (2001). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310.
  15. [15]Devenow, A., & Welch, I. (1996). Rational herding in financial economics. European Economic Review, 40(3–5), 603–615. https://doi.org/10.1016/0014-2921(95)00073-9
  16. [16]Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033
  17. [17]European Parliament & Council of the European Union. (2024). Artificial Intelligence Act. Official Journal of the European Union.
  18. [18]European Securities and Markets Authority. (2023). Artificial intelligence in EU securities markets. ESMA Report.
  19. [19]Financial Conduct Authority. (2022). Artificial intelligence and machine learning in UK financial services. FCA Discussion Paper.
  20. [20]Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
  21. [21]Glaser, M., Langer, T., & Weber, M. (2007). On the trend recognition and forecasting ability of professional traders. Decision Analysis, 4(4), 176–193.
  22. [22]Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057
  23. [23]Goyal, K., Kumar, S., & Xiao, J. J. (2022). Behavioural biases in investment decision making: A systematic literature review. Qualitative Research in Financial Markets, 14(2), 275–305. https://doi.org/10.1108/QRFM-07-2021-0109
  24. [24]Green, B. N., Johnson, C. D., & Adams, A. (2006). Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. Journal of Chiropractic Medicine, 5(3), 101–117. https://doi.org/10.1016/S0899-3467(07)60142-6
  25. [25]Gregor, S., & Benbasat, I. (1999). Explanations from intelligent systems: Theoretical foundations and implications for practice. MIS Quarterly, 23(4), 497–530. https://doi.org/10.2307/249487
  26. [26]Jung, D., Dorner, V., Weinhardt, C., & Pusmaz, H. (2018). Designing a robo-advisor for risk-averse, low-budget consumers. Electronic Markets, 28(3), 367–380. https://doi.org/10.1007/s12525-017-0279-9
  27. [27]Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
  28. [28]Kumar, S., & Goyal, N. (2015). Behavioural biases in investment decision making – A systematic literature review. Qualitative Research in Financial Markets, 7(1), 88–108. https://doi.org/10.1108/QRFM-07-2014-0022
  29. [29]Logg, J. M., Minson, J. A., & Moore, D. A. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151, 90–103. https://doi.org/10.1016/j.obhdp.2018.12.005
  30. [30]Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650. https://doi.org/10.1093/jcr/ucz013
  31. [31]Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5
  32. [32]Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21. https://doi.org/10.1177/2053951716679679
  33. [33]Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The need to promote digital financial literacy for the digital age. Asian Development Bank Institute Working Paper No. 1008.
  34. [34]Mousa, G. A., Elamir, E. A. H., & Abdelaziz, H. M. (2023). Behavioral biases and investment decisions in the Egyptian stock market: A review of recent evidence. Review of Behavioral Finance, 15(4), 512–529.
  35. [35]OECD. (2023). OECD/INFE toolkit for measuring financial literacy and financial inclusion 2023. OECD Publishing.
  36. [36]OECD. (2024). OECD consumer finance risk monitor 2024. OECD Publishing.
  37. [37]Pompian, M. M. (2012). Behavioral finance and investor types: Managing behavior to make better investment decisions (2nd ed.). Wiley.
  38. [38]Rai, A. (2020). Explainable AI: From black box to glass box. Journal of the Academy of Marketing Science, 48(1), 137–141. https://doi.org/10.1007/s11747-019-00710-5
  39. [39]Rastogi, S., Chaudhary, R., & Sharma, A. (2022). Digital financial literacy and financial well-being in emerging economies: Evidence from India. International Journal of Social Economics, 49(8), 1147–1163.
  40. [40]Ricciardi, V., & Simon, H. K. (2000). What is behavioral finance? Business, Education and Technology Journal, 2(2), 1–9.
  41. [41]Securities and Exchange Commission. (2017). Guidance update: Robo-advisers. U.S. Securities and Exchange Commission.
  42. [42]Securities and Exchange Commission. (2024). 2024 examination priorities. U.S. Securities and Exchange Commission.
  43. [43]Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40(3), 777–790. https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
  44. [44]Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
  45. [45]Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356–367. https://doi.org/10.1177/1534484305278283
  46. [46]Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
  47. [47]Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574
  48. [48]Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
  49. [49]Xiao, J. J., & Porto, N. (2022). Financial literacy and investment behaviors among young adults. Journal of Consumer Affairs, 56(2), 604–628.

Authors (2)

Rahul Negi
ORCID

Hemwati Nandan Bahuguna Garhwa...

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Kaushal Kumar

D.A.V. (P.G.) College, Dehradu...

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IJMSP310002

IJMSP-01-000022

82 - 89

2026-08-16

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Negi, R., & Kumar, K. (2026). Behavioral Biases and Investment Decision-Making: The Mediating Role of Trust in AI and the Moderating Role of Financial and Digital Financial Literacy: A Narrative Literature Review. International Journal of Management and Sustainability Practices, 1(3), 82 - 89. https://ijmsp.com/articles/IJMSP310002

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