Financial Literacy and Behavioral Intention Toward Digital Credit Card Usage among Young Consumers in Bengaluru

This study describes the determinants of behavioral intention to use digital credit card services among young consumers in Bengaluru, India on an expanded UTAUT model, involving financial literacy. The study takes a quantitative approach. A structured questionnaire was used to collect data on 126 respondents who were aged between 18-30 years. Strong internal consistency (Cronbachs Alpha>0.70) was checked by reliability analysis. The results of the correlation revealed that all the independent variables had positive relationships with behavioral intention. Regression analysis shows that behavioral intention is explained by the model at 73.4 (R 2 = 0.734). According to the findings, social influence was the most effective predictor of behavioral intention, there was a performance expectancy (followed by facilitating conditions) and performance expectancy which was not statistically significant. The research will be of helpful information to financial institutions, FinTech firms, and policymakers on how to facilitate the use of digital credit cards among young people.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20093381
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
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article

Financial Literacy and Behavioral Intention Toward Digital Credit Card Usage among Young Consumers in Bengaluru

Sarangapani Nivarthi, K. G. Soumya
Zenodo (CERN European Organization for Nuclear Research)
Technology Adoption and User Behaviour
article

Financial Literacy and Behavioral Intention Toward Digital Credit Card Usage among Young Consumers in Bengaluru

Sarangapani Nivarthi, K. G. Soumya
article en

Abstract

This study describes the determinants of behavioral intention to use digital credit card services among young consumers in Bengaluru, India on an expanded UTAUT model, involving financial literacy. The study takes a quantitative approach. A structured questionnaire was used to collect data on 126 respondents who were aged between 18-30 years. Strong internal consistency (Cronbachs Alpha>0.70) was checked by reliability analysis. The results of the correlation revealed that all the independent variables had positive relationships with behavioral intention. Regression analysis shows that behavioral intention is explained by the model at 73.4 (R 2 = 0.734). According to the findings, social influence was the most effective predictor of behavioral intention, there was a performance expectancy (followed by facilitating conditions) and performance expectancy which was not statistically significant. The research will be of helpful information to financial institutions, FinTech firms, and policymakers on how to facilitate the use of digital credit cards among young people.

Zenodo (CERN European Organization for Nuclear Research)
Jain University (IN)
Quality Education
Openalex Percentile: Top 7%
Technology Adoption and User Behaviour
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Financial Literacy and Behavioral Intention Toward Digital Credit Card Usage among Young Consumers in Bengaluru — Sarangapani Nivarthi, K. G. Soumya · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS