Multidimensional Determinants of Repayment Intention in Fintech Loans in Mexico: A Multifactorial Explanatory Model (Revistalexenlace)

Summary

• Mobile internet usage in the Latin American region reached 65% of the population by late 2023.p.4
• Mexico hosted 990 active Fintech platforms at the end of 2023, concentrating approximately 20% of total regional platforms.p.8
• The number of Fintech service users in Mexico is projected to reach 86 million by 2027.p.4
• Filtring criteria narrowed the analysis to 30 scientific articles used to build the explanatory matrix.p.6
• Authorizations for new Fintech platforms under Mexico's Fintech Law slowed to 9 in 2024, down from 30 in 2023 and 20 in 2022.p.9

Key insights

1. Repayment intention in Fintech credit is a dynamic construct continuously shaped by app interactions, user experience, and provider communications over the loan lifespan.p.7
2. The Theory of Planned Behavior anchors repayment analysis across three core drivers: attitude toward behavior, subjective norms, and perceived behavioral control.p.7
3. Digital financial literacy and technical self-efficacy are essential elements of perceived behavioral control when managing loans through mobile apps.p.7
4. Private digital borrowing attenuates direct social pressure from immediate family while elevating the influence of online peer communities.p.11
5. Perceptions of fairness, service transparency, and ethical lending practices strengthen borrowers' intrinsic moral obligation to honor debt commitments.p.12
6. Opaque AI-driven credit decisions and algorithmic bias can severely erode borrower trust and weaken moral commitment to repayment.p.12