Drivers of Continuance Intention for Robo-Advisors in the Evolving FinTech Landscape

In recent years, the advancement of Artificial Intelligence (AI) and its applications has garnered significant attention, particularly in industries like FinTech, where AI plays a pivotal role. The emergence of Robo-Advisors (RA) within the financial sector has further fueled this growth. However, while the adoption of has been on the rise, there is a scarcity of research focusing on users' long-term continuance intentions with these platforms. To address this gap, this research used an exploratory sequential mixed method research design to explore (Study 1) and identify (Study 2) the factors that drive continuance intention with AI-based RA. The research employed Social Cognitive Theory (SCT) to develop a conceptual model incorporating personal, social, and system factors. Through an analysis involving 425 investors, the study revealed that performance and intelligence emerged as the primary drivers of continuance intention with. By integrating SCT with the existing literature on AI-based financial decisions, the research significantly contributes to the SCT literature. Moreover, the study offers valuable insights for practitioners in the financial industry.