Algorithmic Digital Finance Platforms as a Driver of Transformation of Financial Behaviour of Economic Entities (International Journal of Information Engineering and Electronic Business)

Summary

• The ITI modeling framework established average baseline indices of 0.81 for behavioural transformation and 0.77 for responsibility institutionalization across platforms.p.1
• Empirical verification showed that the Optimized Robo-Advisory System achieved the top transformative index score of ITI* = 0.86.p.13
• The primary dataset utilized from the National Financial Capability Study contains over 150,000 total observations across six survey waves.p.5
• Integrating explainability, fairness, and bias-correction modules produced a +7.5% increase in systemic structural coherence.p.15
• System optimization generated a +9.2% growth in responsibility propagation efficiency compared to baseline configurations.p.15
• Statistical precision of the ITI evaluation was verified using bias-corrected bootstrap resampling across 5,000 replications.p.14

Key insights

1. Robo-Advisory Systems and Big Data Financial Analytics Platforms demonstrated the highest integrated transformative potential among digital finance categories.p.11
2. DeFi Protocols achieved an ITI* score of 0.71, exhibiting high behavioural autonomy alongside lower regulatory coherence.p.14
3. RegTech Compliance engines attained an ITI* score of 0.76, displaying strong responsibility institutionalization but low behavioural elasticity.p.14
4. The Optimized Robo-Advisory System recorded a behavioural transformation coefficient of Bₚ = 0.85 and a responsibility institutionalization index of Rₚ = 0.90.p.14
5. Robustness evaluation across equal-weighting, expert-adjusted, and PCA-based specifications showed mean ITI* deviations from baseline below 0.026.p.14
6. The addition of explainable AI and bias-mitigation modules improved procedural traceability while reducing affective cognitive distortions.p.12