Linking the Robo-advisors Phenomenon and Behavioural Biases in Investment Management: An Interdisciplinary Literature Review and Research Agenda
Nomeda Lisauskiene
ISM University of Management and Economics, Lithuania
Valdone Darskuviene
ISM University of Management and Economics, Lithuania
Published 2021-12-22


behavioural biases
dual process theory

How to Cite

Lisauskiene N. and Darskuviene V. (2021) “Linking the Robo-advisors Phenomenon and Behavioural Biases in Investment Management: An Interdisciplinary Literature Review and Research Agenda”, Organizations and Markets in Emerging Economies, 12(2), pp. 459-477. doi: 10.15388/omee.2021.12.65.


Technological advancements bring continuous changes into the investment industry. The paper aims to provide insights on future research agenda based on a review of the current stance of research on the links between the Robo-advisors phenomenon and behavioural biases of individual investors. A qualitative investigation method has been applied for literature review on Robo-advisors and their impact on behavioural biases.

The key findings indicate that Robo-advisors can help users to make better informed and less biased decisions. However, Robo-advisors activate the investors’ automatic system processes. The resulting passive investment approach could lead to alienation of the investors from the stock market, decreasing their understanding of the investment process that could widen a gap between different clusters of investors.

The paper makes several contributions to the literature. First, it provides arguments on why a dual process theoretical framework in the relationship between financial advisory and investment behavioural biases is applicable. Second, it studies the Robo-advisor phenomenon and proposes a comprehensive definition of Robo-advisors. Third, the literature review suggests drivers of the Robo-advisors effect on the changes of behavioural biases as a future research direction.



Abraham, F., Schmukler, S. L., & Tessada, J. (2019). Robo-Advisors: Investing through Machines. Research and Policy Briefs (134881). The World Bank.

Adam, M., Toutaoui, J., Pfeuffer, N., & Hinz, O. (2019). Investment Decisions with Robo-advisors: The Role of Anthropomorphism and Personalized Anchors in Recommendations. In Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Upsala, Sweden, June 8-14. https://aisel. aisnet. org/ecis2019_rp/33.

Alsabah, H., Capponi, A., Ruiz Lacedelli, O., & Stern, M. (2019). Robo-Advising: Learning Investors’ Risk Preferences via Portfolio Choices. Journal of Financial Econometrics.

Au, C.-D., & Krahnhof, P. (2020). The Role of Robo-Advisors in the German Banking Market–Critical Analysis on Human Versus Digital Advisory Services. In Proceedings of IASTEM International Conference, Brussels, Belgium, Institute for Technology and Research.

Baker, T. (2018). Regulating Robo Advice Across the Financial Services Industry. SSRN Electronic Journal. doi:10.2139/ssrn.2932189

Balwani, D., Dash, A., Das, A., Das, L., Misra, D., & Ghose, D. (2019). Robo-Advisory: An Investor’s Perception. International Journal of Psychosocial Rehabilitation, 23(3).

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.

Beketov, M., Lehmann, K., & Wittke, M. (2018). Robo Advisors: Quantitative Methods Inside the Robots. Journal of Asset Management, 19(6), 363-370.

Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: Understanding Robo-advisors Adoption among Customers. Industrial Management & Data Systems.

Bhandari, G., Hassanein, K., & Deaves, R. (2008). Debiasing Investors with Decision Support Systems: An Experimental Investigation. Decision Support Systems, 46(1), 399-410.

Bhatia, A., Chandani, A., & Chhateja, J. (2020). Robo Advisory and its Potential in Addressing the Behavioral Biases of Investors—A Qualitative Study in Indian Context. Journal of Behavioral and Experimental Finance, 25, 100281.

Bhattacharya, U., Hackethal, A., Kaesler, S., Loos, B., & Meyer, S. (2012). Is Unbiased Financial Advice to Retail Investors Sufficient? Answers from a Large Field Study. The Review of Financial Studies, 25(4), 975-1032.

Boreiko, D., & Massarotti, F. (2020). How Risk Profiles of Investors Affect Robo-advised Portfolios. Frontiers in Artificial Intelligence, 3, 60.

Bourgeron, T., Lezmi, E., & Roncalli, T. (2018). Robust Asset Allocation for Robo-Advisors. SSRN Electronic Journal. doi:10.2139/ssrn.3261635

Braeuer, K., Hackethal, A., & Scheurle, S. (2017). Fund Savings Plan Choices with and without Robo-Advice. Observatoire de l’épargne européenne.

Brenner, L., & Meyll, T. (2020). Robo-advisors: A Substitute for Human Financial Advice? Journal of Behavioral and Experimental Finance, 25, 100275.

D’Acunto, F., Prabhala, N., & Rossi, A. G. (2019). The Promises and Pitfalls of Robo-advising. The Review of Financial Studies, 32(5), 1983-2020.

D’Hondt, C., De Winne, R., Ghysels, E., & Raymond, S. (2019). Artificial Intelligence Alter Egos: Who Benefits from Robo-nvesting? Journal of Empirical Finance, 59, 278-299 (2020).

da Silva, E. B., Silva, T. C., Constantino, M., Amancio, D. R., & Tabak, B. M. (2020). Overconfidence and the 2D: 4D Ratio. Journal of Behavioral and Experimental Finance, 100278.

Deloitte. (2016). The Expansion of Robo-advisory in Wealth Management.

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.

Evans, J. S. B. T. (2008). Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition. Annual Review of Psychology, 59(1), 255-278.

Faloon, M., & Scherer, B. (2017). Individualization of Robo-Advice. The Journal of Wealth Management, 20(1), 30-36.

Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-417.

Feng, L., & Seasholes, M. S. (2005). Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets? Review of Finance, 9(3), 305-351.

Fisch, J. E., Labouré, M., & Turner, J. A. (2019). The Emergence of the Robo-advisor. In J. Agnew & O. S. Mitchell (Eds.), The Disruptive Impact of FinTech on Retirement Systems (pp.13-37). Oxford, UK: Oxford University Press. DOI:10.1093/oso/9780198845553.003.0002

Glaser, F., Iliewa, Z., Jung, D., & Weber, M. (2019). Towards Designing Robo-advisors for Unexperienced Investors with Experience Sampling of Time-series Data. In Information Systems and Neuroscience (pp. 133-138). Springer.

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2019). Transferring Decisions to an Algorithm: A Simple Route Choice Experiment. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 402-417.

Grinblatt, M., & Keloharju, M. (2001). What Makes Investors Trade? The Journal of Finance, 56(2), 589-616.

Hayes, A. S. (2019). The Active Construction of Passive Investors: Roboadvisors and Algorithmic ‘low-finance’. Socio-Economic Review, 19(1). DOI:10.1093/ser/mwz046

Hildebrand, C., & Bergner, A. (2020). Conversational Robo Advisors as Surrogates of Trust: onboarding Experience, Firm Perception, and Consumer Financial Decision Making. Journal of the Academy of Marketing Science, 1-18.

Hirshleifer, D. (2015). Behavioral Finance. Annual Review of Financial Economics, 7(1), 133-159. doi:10.1146/annurev-financial-092214-043752

Hohenberger, C., Lee, C., & Coughlin, J.F (2019). Acceptance of Robo-advisors: Effects of Financial Experience, Affective Reactions, and Self-enhancement Motives. Financial Planning Review, e1047.

Horn, M., & Oehler, A. (2020). Automated Portfolio Rebalancing: Automatic Erosion of Investment Performance? Journal of Asset Management, 1-17.

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. doi:10.1007/s12525-017-0279-9

Jung, D., Dorner, V., Glaser, F., Morana, S. (2018). Robo-Advisory: Digitalization and Automation of Financial Advisory. Business & Information Systems Engineering, 60(1), 81-86.

Jung, D., Glaser, F., & Köpplin, W. (2019). Robo-Advisory: Opportunities and Risks for the Future of Financial Advisory. In Advances in Consulting Research (pp. 405-427). Springer.

Jung, D., & Weinhardt, C. (2018). Robo-Advisors and Financial Decision Inertia: How Choice Architecture Helps to Reduce Inertia in Financial Planning Tools. In 39th International Conference of Information Systems (ICIS 2018), San Francisco.

Kahneman, D. (2012). Thinking, Fast and Slow. Penguin Books.

Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgement Under Uncertainty: Heuristics and Biases: Cambridge University Press.

Liaudinskas, K. (2019). Human vs. Machine: Disposition Effect Among Algorithmic and Human Day-traders. Working Papers 1133, Barcelona Graduate School of Economics.

Litterscheidt, R., & Streich, D. J. (2020). Financial Education and Digital Asset Management: What’s in the Black Box? Journal of Behavioral and Experimental Economics, 101573.

Loos, B., Previtero, A., Scheurle, S., & Hackethal, A. (2020). Robo-advisers and Investor Behavior. University of Technology of Sidney.

Lopez, J. C., Babcic, S., & De La Ossa, A. (2015). Advice Goes Virtual: How New Digital Investment Services Are Changing the Wealth Management Landscape. Journal of Financial Perspectives, 3(3).

Market Data Forecast (2020). Global Robo Advisory Market Research Report.

Maume, P. (2019). Regulating Robo-Advisory. Texas International Law Journal, 55, 49-87.

Niszczota, P., & Kaszás, D. (2020). Robo-fund Aversion: People Prefer it When Humans and not Computers Make Investment Decisions with Moral Undertones. PsyArXiv. March, 13.

OECD. (2017). G20/OECD INFE: Report on ensuring financial education and consumer protection for all in the digital age.

Polansky, S., Chandler, P., & Mottola, G. R. (2019). The Big Spenddown: Digital Investment Advice and Decumulation. In J. Agnew & O. S. Mitchell (Eds.), The Disruptive Impact of FinTech on Retirement Systems (pp.129-148). Oxford University Press.

Puhle, M. (2019). The Performance and Asset Allocation of German Robo-Advisors. Society and Economy, 41(3), 331-351.

Rohner, P., Uhl, M. (2018). Robo-Advisors vs. Traditional Investment Advisors-An Unequal Game. Journal of Wealth Management, 21(1), 44-50.

Rossi, A., & Utkus, S. (2020). The Needs and Wants in Financial Advice: Human versus Robo-advising. Working Paper, Georgetown University.

Rühr, A. (2020). Robo-Advisor Configuration: An Investigation of User Preferences and the Performance-Control Dilemma. Proceedings of the 28th European Conference on Information Systems (ECIS), An Online AIS Conference, June 15-17, 2020.

Rühr, A., Berger, B., & Hess, T. (2019). Can I Control My Robo-Advisor? Trade-Offs in Automation and User Control in (Digital) Investment Management. Americas Conference on Information Systems (AMCIS) Cancun, Mexico, 25.

Rühr, A., Streich, D., Berger, B., & Hess, T. (2019). A Classification of Decision Automation and Delegation in Digital Investment Management Systems. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) at Wailea, Hawaii, volume 52.

Salo, M., & Haapio, H. (2017). Robo-Advisors and Investors: Enhancing Human – Robot Interaction Through Information Design. In E. Schweighofer et al. (Eds.), Trends and Communities of Legal Informatics. Proceedings of the 20th International Legal Informatics Symposium IRIS 2017 (Österreichische Computer Gesellschaft, Wien 2017), pp. 441–448.

Shanmuganathan, M. (2020). Behavioural Finance in an Era of Artificial Intelligence: Longitudinal Case Study of Robo-advisors in Investment Decisions. Journal of Behavioral and Experimental Finance, 100297.

Simon, H. A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69(1), 99-118.

Sironi, P. (2016). My Robo Advisor was an iPod–Applying the Lessons from Other Sectors to FinTech Disruption. In S. Chishti & J. Barberis (Eds.), The FinTech Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries (152-154).

Snihovyi, O., Ivanov, O., & Kobets, V. (2018). Implementation of Robo-Advisors Using Neural Networks for Different Risk Attitude Investment Decisions. Paper presented at the International Conference on Intelligent Systems (IS).

Sunstein, C. R. (2014). Nudging: A Very Short Guide. Journal of Consumer Policy, 37(4), 583-588.

Szeli, L. (2020). UX in AI Trust in Algorithm-based Investment Decisions. Junior Management Science, 5(1), 1-18.

Tan, G. K. S. (2020). Robo-advisors and the Financialization of Lay Investors. Geoforum,117, 46-60.

Tao, R., Su, C.-W., Xiao, Y., Dai, K., & Khalid, F. (2021). Robo Advisors, Algorithmic Trading and Investment Management: Wonders of Fourth Industrial Revolution in Financial Markets. Technological Forecasting and Social Change, 163, 120421.

Tauchert, C., & Mesbah, N. (2019). Following the Robot? Investigating Users’ Utilization of Advice from Robo-Advisors.

Teixeira, A. M., Tabak, B. M., & Cajueiro, D. O. (2015). The 2D:4D ratio and Myopic Loss Aversion (MLA): An Experimental Investigation. Journal of Behavioral and Experimental Finance, 5, 81-84.

Thaler, R. H. (2016). Behavioral Economics: Past, Present, and Future. American Economic Review, 106(7), 1577-1600.

Todd, T. M., & Seay, M. C. (2020). Financial Attributes, Financial Behaviors, Financial‐advisor‐use Beliefs, and Investing Characteristics Associated with Having Used a Robo‐advisor. Financial Planning Review, 3(3), e1104.

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases (Vol. 185): Cambridge University Press.

Wynes, M. J. (2020). Anger, Fear, and Investor’s Information Search Behavior. Journal of Behavioral Finance, 1-17.

Zhang, L., Pentina, I., & Fan, Y. (2021). Who do you choose? Comparing Perceptions of Human vs Robo-advisor in the Context of Financial Services. Journal of Services Marketing.

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