International Journal For Multidisciplinary Research

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The Fintech Revolution in Digital Literacy, Trust Levels, Perceived Risk, and Consumer Adoption Behavior in the Financial Services Sector

Author(s) Dr. Ansar M
Country India
Abstract The swift spread of financial technology (FinTech) has transformed the ways people save, borrow, transact, and invest. This research investigates the behavioral and perceptual factors influencing FinTech adoption using a representative survey sample of 300 participants. Three statistical methods were utilized: descriptive statistics to define the sample and essential constructs, Pearson correlation analysis to explore the relationships between digital literacy, perceived risk, trust, usage frequency, adoption, and financial inclusion, and multiple linear regression to determine how the FinTech Adoption Score relates to digital literacy, perceived risk, trust, and usage frequency. The regression analysis accounted for roughly 57.1% of the variability in adoption scores (R² = 0.571, Adjusted R² = 0.565, F (4, 295) = 98.27, p < 0.001). Trust (β = 0.494, p < 0.001) and digital literacy (β = 0.445, p < 0.001) were identified as the most significant positive predictors, whereas perceived risk (β = -0.295, p < 0.001) was recognized as the strongest negative predictor. Usage frequency had a modest yet significant positive impact (β = 0.186, p < 0.001). Correlation analysis also revealed that FinTech adoption is moderately to strongly linked with financial inclusion (r = 0.507, p < 0.001), indicating that initiatives aimed at improving digital literacy and trust while effectively addressing perceived risk are likely to enhance both adoption and inclusion results. The implications of these findings are discussed in the context of the larger FinTech revolution, along with suggestions for financial institutions, regulators, and technology creators.
Keywords FinTech, digital financial services, adoption, trust, digital literacy, perceived risk, financial inclusion, regression analysis, correlation analysis, descriptive statistics
Field Mathematics > Economy / Commerce
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-31
DOI https://doi.org/10.36948/ijfmr.2026.v08i04.84786
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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