Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers
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Abstract
Purpose Considering the increasing impact of Artificial Intelligence (AI) on financial technology (FinTech), the purpose of this paper is to propose a research framework to better understand robo-advisor adoption by a wide range of potential customers. It also predicts that personal and sociodemographic variables (familiarity with robots, age, gender and country) moderate the main relationships. Design/methodology/approach Data from a web survey of 765 North American, British and Portuguese potential users of robo-advisor services confirm the validity of the measurement scales and provide the input for structural equation modeling and multisample analyses of the hypotheses. Findings Consumers’ attitudes toward…
Citation impact
770
total citations
- FWCI
- 61.25
- Percentile
- 100%
- References
- 64
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Authors
3Topics & keywords
Topics
Keywords
- Structural equation modeling
- Marketing
- Originality
- Perception
- Financial services
- Consumer behaviour
- Interpersonal communication
- Psychology
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