Automation of Financial Decision-Making
Empirical Studies on the Interaction between Humans and Robo-Advisors
The realization of these automation potentials is dependent on the individual willingness to make use of such IT systems. This dissertation identifies barriers to the utilization of automation potentials as grounded in human attitude and behavior. Further, it suggests principles that can guide the successful realization of automation potentials by increasing user trust in the IT systems that automate tasks and decisions. All such suggestions are derived based on empirical studies on human behavior in the interaction with highly autonomous IT systems on the example of robo-advisors. Hereby, this dissertation adds to theory on user interaction with autonomous IT systems and provides insights for practitioners that aim at designing and implementing IT systems that automate tasks and decisions.