Journal article
Man vs machine: how artificial intelligence in banking influences consumer belief in financial advice
International Journal of Bank Marketing, Vol.40(6), pp.1182-1199
2022
Abstract
Purpose:
This research set out to examine how financial advice provided by a human advisor (vs robo-advisor) influences investment intentions in a retail banking context.
Design/methodology/approach:
In two experiments, between-subjects experimental designs were employed to test the primary hypothesis and identify the underlying causal mechanisms that influence consumer investment decisions.
Findings:
The results from two experiments indicate consumers have more belief in financial advice provided by a human financial advisor (vs robo-advisor), when the level of involvement is high. The authors also identify customer belief in the information and the customer's perception of the bank's “customer focus” as the causal mechanisms that have downstream effects on investment intentions.
Originality/value:
This research is the first to examine how financial advice received from a human advisor (vs robo-advisor) influences investment intentions in a retail banking context. Furthermore, this research identifies high involvement as a key boundary condition moderating the effects on investment intention and identifies consumer belief in the advice, as well as the bank's perceived level of customer focus as the causal mechanisms influencing investment intentions
Details
- Title
- Man vs machine: how artificial intelligence in banking influences consumer belief in financial advice
- Authors
- Gavin Northey (Author) - Griffith UniversityVanessa Hunter (Author) - Griffith UniversityRory Mulcahy (Author) - University of the Sunshine Coast, Queensland, School of Business and Creative IndustriesKelly Choong (Author) - Edith Cowan UniversityMichael Mehmet (Author) - University of Wollongong
- Publication details
- International Journal of Bank Marketing, Vol.40(6), pp.1182-1199
- Publisher
- Emerald Publishing Limited
- DOI
- 10.1108/IJBM-09-2021-0439
- ISSN
- 1758-5937
- Organisation Unit
- School of Business and Creative Industries; University of the Sunshine Coast, Queensland; School of Creative Industries - Legacy
- Language
- English
- Record Identifier
- 99640278202621
- Output Type
- Journal article
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- Domestic collaboration
- Web Of Science research areas
- Business
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