In recent years, financial technologies (FinTech) have been gaining increasing popularity. Although previous studies have glimpsed the role of Robo-Advisors as one potential source of cost saving and transparency in the financial service industry, it is still unclear whether Robo-Advisors will become a disruptive technology in the foreseeable future. Furthermore, there exists little work that examines fundamental questions regarding when and how Robo-Advisors can be successfully deployed. The dynamic nature and complexity of trust building mechanisms make these questions even more challenging. This study serves as a research-in-progress manuscript to report on the initial stages of a comprehensive study which aims to examine strategies for the implementation and deployment of Robo-Advisors.
Lee, Sangho; Choi, Jae; Ngo-Ye, Thomas L.; and Cummings, Maeve, "Modeling Trust in the Adoption Decision Process of Robo-Advisors: An Agent-Based Simulation Approach" (2018). MWAIS 2018 Proceedings. 24.