Quantitative study examines factors influencing digital credit card usage in young consumers, suggesting implications for financial institutions.
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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Soumya et al. (2026) studied this question.
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