Financial robo‑advisors and AI
Within the Digital banking and finance research area, the financial robo-advisors and AI theme focuses on the emergence, adoption, and trustworthiness of automated investment advisory services.
These services use algorithms and AI to provide investment advice and portfolio management with limited human intervention. Particular attention is given to the role of cultural context, decision-making style, and trust in shaping investors’ behavioural intention to use these technologies.
The research also questions whether financial robo-advisors can rely on a universal “one-size-fits-all” model or whether their design, communication, and implementation need to be adapted to different cultural, behavioural, and financial literacy contexts. In addition, it considers opportunities and limitations of robo-advisors, as well as their risks related to limited personalisation, algorithmic dependency, and uneven suitability across different investor groups.
The aim is to analyse the trust-building of retail investors in financial robo-advisors, and the influence of technological, behavioural, informational, and cultural aspects on the adoption and use of this technology.
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