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The Impact Mechanism of Supply Chain Finance Enabling Supply Chain Resilience Under the Background of Smart Logistics

  • Xiaoya Xu
  • , Wenxuan Jiang
  • , Ping Jiao
  • , Haoran Xie
  • , Fu Lee Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Set in the logistics 4.0 era, we dissect how supply-chain finance (SCF) simultaneously strengthens supply-chain resilience (SCR) and builds risk buffers across the goods–data flow. Empirically, we find a dual-channeled causality. First, within the digital-economy epoch, smart-logistics infrastructures endow SCF with self-healing capacity: real-time visibility compresses information asymmetry, elevating credit-quality assessment and injecting cost-efficiency into financing contracts while embedding dynamic risk-off mechanisms at each node. Second, and centrally, the paper theorizes and tests how SCF acts as a relational lubricant that vertically integrates small and medium-sized enterprises (SMEs) with upstream and downstream actors. SCF can wide the coordination bandwidth among supply-chain partners, dilute systemic exposure and unlock liquidity for SMEs by receivables and collateralizing inventory, thereby stiffening the resilience of the entire industrial ecosystem. These insights furnish policymakers with a framework for coupling intelligent logistics with SCF architectures, simultaneously strengthening macro-level chain resilience and micro-level organizational robustness of SMEs.

Original languageEnglish
Title of host publicationThe Proceedings of 2025 International Conference on Artificial Intelligence and Autonomous Transportation - Volume 7
EditorsShu-Feng Wang, Zhihong Li, Mingyang Pei, Wenhui Zhang, Tianli Tang, Ying Rong
Pages514-520
Number of pages7
DOIs
Publication statusPublished - 2026
EventInternational Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025 - Beijing, China
Duration: 12 Dec 2025 → 14 Dec 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1595 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2025
Country/TerritoryChina
CityBeijing
Period12/12/25 → 14/12/25

Keywords

  • Digital intelligence
  • Risk management
  • Smart logistics
  • Smart supply chain finance
  • Supply chain resilience

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