Prediction of robo-advisory acceptance in banking services using tree-based algorithms

The results of the survey conducted in October 2020 covered a sample of 911 Polish citizens aged 18–65 on the demographic and socio-economic characteristics, behaviours, and attitudes of consumers that determine respondents’ adoption of robo-advisory.The dependent variable Robo Intention refers to respondents’ attitudes towards using robo-advisory that supports banking services in the following five years. The explanatory variables relate to the socio-demographic characteristics of the respondents, their experience in using banking services, their attitudes towards modern digital technologies (including perceptions of artificial intelligence and robo-advisory in banking), and trust towards banks.