EVALUATING THE INFLUENCE OF AI - POWEREDFINANCIALADVISORY SERVICE ON CUSTOMER DECISION-MAKINGCOMPARED TO TRADITIONAL IN-PERSON BANKINGADVISORS

Aim The purpose of this study is to assess how consumer trust and decision-making are affectedby AI-powered financial advisory services. The study examines user preferences, satisfactionlevels, and the influence of demographic characteristics on consumer views of AI in financial planning by contrasting AI-driven and conventional advice approaches. Methods andMaterialsTechniques and Resources. The study employed a mixed-methods approach, integratingbothqualitative interviews and quantitative surveys. A sample of 100 people took part, includingfinancial experts and banking customers. To find trends in trust in financial advising services, data were gathered through focus groups and structured questionnaires. SPSS was usedforanalysis, which included chi-square test, ANOVA, and correlations.In conclusion The resultsindicate that there is no discernible relationship between age and confidence in financial servicesdriven by AI. AI-based advisers improve accessibility and efficiency, but in order to satisfyarange of customer demands, they must be integrated with traditional banking. In order tomaintain a balanced strategy that builds trust and enhances financial decision-making, financial institutions should deploy AI while addressing consumer concerns

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Publication Details

Journal
ASET Journal of Management Science
Published
2025-05-09
DOI
https://doi.org/10.47059/ajms/v4i2/38
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

EVALUATING THE INFLUENCE OF AI - POWEREDFINANCIALADVISORY SERVICE ON CUSTOMER DECISION-MAKINGCOMPARED TO TRADITIONAL IN-PERSON BANKINGADVISORS

N. Kalaivani, T. Lokesh, P. Harini, T. Bhavya Shree
ASET Journal of Management Science
Technology Adoption and User Behaviour
article

EVALUATING THE INFLUENCE OF AI - POWEREDFINANCIALADVISORY SERVICE ON CUSTOMER DECISION-MAKINGCOMPARED TO TRADITIONAL IN-PERSON BANKINGADVISORS

N. Kalaivani, T. Lokesh, P. Harini, T. Bhavya Shree
article en

Abstract

Aim The purpose of this study is to assess how consumer trust and decision-making are affectedby AI-powered financial advisory services. The study examines user preferences, satisfactionlevels, and the influence of demographic characteristics on consumer views of AI in financial planning by contrasting AI-driven and conventional advice approaches. Methods andMaterialsTechniques and Resources. The study employed a mixed-methods approach, integratingbothqualitative interviews and quantitative surveys. A sample of 100 people took part, includingfinancial experts and banking customers. To find trends in trust in financial advising services, data were gathered through focus groups and structured questionnaires. SPSS was usedforanalysis, which included chi-square test, ANOVA, and correlations.In conclusion The resultsindicate that there is no discernible relationship between age and confidence in financial servicesdriven by AI. AI-based advisers improve accessibility and efficiency, but in order to satisfyarange of customer demands, they must be integrated with traditional banking. In order tomaintain a balanced strategy that builds trust and enhances financial decision-making, financial institutions should deploy AI while addressing consumer concerns

ASET Journal of Management ScienceVol. 4(2)
Openalex Percentile: Top 90%
Technology Adoption and User Behaviour
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EVALUATING THE INFLUENCE OF AI - POWEREDFINANCIALADVISORY SERVICE ON CUSTOMER DECISION-MAKINGCOMPARED TO TRADITIONAL IN-PERSON BANKINGADVISORS — N. Kalaivani, T. Lokesh, et al. · ASET Journal of Management Science (2025) | TGRS Research Map | TGRS