Beyond Adoption: Behavioural Validation of an Integrated FinTech Engagement Framework in India (Journal of Intelligent Decision Making and Information Science)

Summary

• The study surveyed 450 active FinTech users across India to empirically validate a quadripartite integrated framework using PLS-SEM with 5,000 resampling iterations.p.1
• The Reserve Bank of India estimates that monthly transactions processed by UPI reach over 13.7 billion transactions.p.2
• Personalisation emerged as the strongest direct predictor of Emotional Engagement with a path coefficient of β = 0.148 (p < 0.001).p.1
• Self-reported actual usage demonstrated strong convergent validity with objective platform transaction logs, showing a correlation of r = 0.895 (p < 0.001).p.9
• Self-reported user satisfaction correlated strongly with the objective Behavioural Engagement Index at r = 0.862 (p < 0.001).p.9
• Information Quality was determined to be the strongest direct driver of User Satisfaction, recording a path coefficient of β = 0.155 (p < 0.01).p.1
• The sample of 450 FinTech users comprised 47.30% wallet/UPI users, 18.70% neobank users, 17.10% broker/investment app users, and 16.90% bank app users.p.8

Key insights

1. Emotional Engagement significantly drives both User Satisfaction (β = 0.109, p < 0.05) and Behavioural Loyalty (β = 0.230, p < 0.05).p.1
2. Trust directly drives Habit Formation (β = 0.148, p < 0.001), whereas Security alone does not show a statistically significant effect.p.1
3. Harman's single-factor test accounted for 12.86% of total variance, confirming minimal risk of common method bias.p.9
4. The sample recorded a mean score of 29.94 for the objective Behavioural Engagement Index.p.9