Drivers of Financial Robot Continuance Usage Intentions: An Application of Self-efficacy Theory

Abstract

As financial technology (FinTech) continues to improve, financial robots gradually become the direction for customers’ investment and financial management references. This study develops an interactive model to illustrate how individuals use financial robots to achieve continuance intentions through self-efficacy. This study is conducted from the perspective of consumers. At present, most consumers obtain financial consulting services from financial robots and determine their investment directions based on data given. This study uses a self-efficacy model and the FinTech perspective to find the key factors for future investors to consider using financial robots. SPSS 21.0 and Smart PLS 3.0 are used in the analysis process. A total of 320 samples are obtained for the analysis in this study. Results show that financial and technological self-efficacy positively affect customers’ continuance intention. This study will help consumers possess the ability to choose financial robots and improve their continuance intentions through financial literacy and task– technology fit (TTF).