Main article

Lorenzo Bianchi*
Department of Economics and Management, University of Pisa, Pisa, Italy, 56124
lorenzo.bianchi@unipi.it
Giulia Romano
Department of Industrial Engineering, University of Naples Federico II, Naples, Italy, 80125

Abstract

This article reviews how blockchain-native finance is reshaping financial intermediation and how the next wave of digital finance is likely to be influenced by large language models (LLMs) and quantum finance research. Building on recent work on decentralized finance, blockchain implementation, supply chain finance, and emerging FinTech architectures, the study develops an integrated analytical framework that connects three layers of change: programmable settlement, intelligent decision support, and frontier computational finance. Rather than treating DeFi, blockchain-based supply chain finance, LLM applications, and quantum finance as isolated topics, the review shows that they form a continuous innovation trajectory with shared challenges in governance, interoperability, data quality, risk modeling, and institutional trust. The paper synthesizes prior findings, compares major technical and managerial mechanisms, and proposes a research agenda for resilient, explainable, and regulation-aware financial innovation. The results suggest that blockchain creates a credible record and execution layer, LLMs expand interpretive and operational intelligence, and quantum finance may eventually widen the solution space for complex risk-pricing and portfolio problems. The article concludes with practical implications for platform designers, regulators, and industry managers.

Article details

How to Cite

Bianchi, L. ., & Romano, G. . (2026). From DeFi to Intelligent Supply Chain Finance: Blockchain-Native Financial Innovation, Large Language Models, and Quantum Finance Prospects. Journal of Technology Innovation and Society, 4(1), 1-23. https://doi.org/10.63646/jtis.2026.040101