Journal of Cloud Computing: Advances, Systems and Applications (Jan 2024)

Enhancing trust transfer in supply chain finance: a blockchain-based transitive trust model

  • Chang Shu,
  • Yuling Chen,
  • Chaoyue Tan,
  • Yun Luo,
  • Hui Dou

DOI
https://doi.org/10.1186/s13677-023-00557-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Abstract Artificial intelligence and blockchain technology have become indispensable in the era of the digital economy, particularly in the field of financial financing. However, when it comes to supply chain finance (SCF), existing models primarily focus on risk identification and credit evaluation, neglecting the critical aspects of trust transfer continuity and reliability within the chain. To address this issue, this paper proposes a blockchain-based transitive trust model for SCF, which ensures seamless trust transfer from core enterprises to bottom suppliers during financing enterprise credit evaluation. The model utilizes multi-layer metrics to calculate the comprehensive trust value of underlying suppliers, serving as the basis for credit delivery. Additionally, the model stores transitive signature receivable warrants on the blockchain and utilizes splittable delivery of warrants to underlying suppliers. The model’s rationality and correctness are verified through experimental analysis, with results demonstrating that the transitive trust model enhances Small and Medium-Sized Enterprises’ (SMEs) trust at the bottom of the supply chain, thus alleviating financing difficulties for SMEs.

Keywords