Do AI Markets Drive Financial Performance in Chinese Banks? A Quantum-Inspired (QI) MCDM Approach

Key findings from this study

• The study found that top-performing Chinese banks exhibit higher adaptability through agile governance and fintech integration, while lower-performing institutions are constrained by legacy systems and structural fragmentation.
• The authors report that larger AI and smart city markets are paradoxically associated with reduced systemic entanglement among banking performance metrics, indicating that technological maturity fosters functional decoupling.
• The researchers demonstrate that quantum-inspired MCDM captures performance heterogeneity absent from conventional decision-making frameworks, revealing inter-criteria entanglement and decoherence dynamics in banking structures.

Overview

The paper develops a quantum-inspired multi-criteria decision-making (QI-MCDM) framework to evaluate structural performance in Chinese banks within AI technological contexts. The framework embeds classical banking performance indicators into quantum probability space, capturing inter-criteria entanglement, decoherence from benchmarks, and noise robustness. These constructs remain absent from conventional MCDM approaches. The research examines how emerging AI markets influence financial performance heterogeneity across Chinese banking institutions.

Methods and approach

The authors constructed a QI-MCDM model that operates within quantum probability space rather than classical decision frameworks. The methodology integrates standard bank performance metrics while accounting for quantum mechanical properties including entanglement and decoherence dynamics. Regression and random forest analyses were applied to assess relationships between AI market size, smart city development, and banking performance metrics. The study evaluated multiple Chinese bank types to capture structural efficiency variation across the sector.

Results

Structural efficiency diverges significantly across Chinese bank types within the QI-MCDM framework. Top-performing banks demonstrate higher adaptability through agile governance structures and fintech integration, while lower-performing institutions face constraints from legacy systems and structural fragmentation. Regression and random forest analyses reveal a counterintuitive relationship: larger AI and smart city markets are associated with reduced systemic entanglement among traditional banking metrics. This pattern suggests that contextual technological maturity promotes functional decoupling rather than integrated performance structures.

Implications

The quantum-inspired approach reveals performance heterogeneity not captured by conventional MCDM models, particularly regarding how technological complexity reshapes banking structures. The framework's ability to model inter-criteria entanglement and decoherence provides new analytical tools for assessing organizational adaptation to technological change in financial systems. These results indicate that technological maturity operates as a decoupling mechanism, suggesting that banks in advanced AI markets reorganize traditional metrics into functionally independent structures.

For bank management, the findings indicate that integration with fintech ecosystems and agile governance correlate with superior structural performance. Legacy system constraints emerge as material barriers to adaptation, particularly evident in lower-performing institutions. The paradoxical relationship between market maturity and systemic entanglement suggests that banks must actively restructure operations to benefit from technological advancement rather than assuming automatic performance gains from market development.

The research contributes theoretical perspective on how emerging technologies reshape organizational performance structures in developing financial systems. The QI-MCDM framework offers methodological advancement for evaluating complex organizational systems where traditional independence assumptions between performance metrics may not hold. Future research applying this framework across different banking sectors and national contexts could clarify whether decoupling patterns represent optimal adaptation or institutional fragmentation.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.