TY - GEN
T1 - Fintech and technology finance synergistically empower the supply chain
AU - Xu, Xiaoya
AU - Lee, Liang
AU - Xie, Haoran
AU - Wang, Fu Lee
N1 - Publisher Copyright:
© 2025 Proceedings of the 15th International Conference on Logistics and Systems Engineering. All rights reserved.
PY - 2025
Y1 - 2025
N2 - This study focuses on supply chain synergistic empowerment by FinTech and technology finance, tackling two linked issues: global supply chain pain points (insufficient resilience, fragmentation, poor capital flow) and the dilemma of enterprises lacking upgrading funds & banks with inefficient risk control. It aims to optimize supply chain "resilience + efficiency + capital flow" via bank-enterprise collaboration. Following "theory-case-law-countermeasure" logic, it uses three methods: literature research (define concepts, identify gaps), multi-case study (CMB, Sany, SHEIN), cross-case comparison. Key findings: 1. Supply chain pain points stem from "technology-information-mechanism" barriers (uneven digitalization, data silos, no standardized systems); 2. FinTech and technology finance share "AI + big data + blockchain" base, adopt "data as credit core" logic, and form a four-step mechanism (data interoperability, precise adaptation, risk control linkage, full-chain upgrading); 3. Synergy has universality (convergent tech/value) and industry differences (Sany: equipment/capital; SHEIN: supplier payment/consumers; CMB: tailored support). It builds an "enterprise + bank" dual-subject framework, confirming their interdependence as key. Countermeasures: enterprises pursue phased digitalization (start with order management); financial institutions provide scenario-based services; governments build unified data platforms. Fills single-subject gaps, offers paths to boost supply chain stability/efficiency, guides industrial digital transformation.
AB - This study focuses on supply chain synergistic empowerment by FinTech and technology finance, tackling two linked issues: global supply chain pain points (insufficient resilience, fragmentation, poor capital flow) and the dilemma of enterprises lacking upgrading funds & banks with inefficient risk control. It aims to optimize supply chain "resilience + efficiency + capital flow" via bank-enterprise collaboration. Following "theory-case-law-countermeasure" logic, it uses three methods: literature research (define concepts, identify gaps), multi-case study (CMB, Sany, SHEIN), cross-case comparison. Key findings: 1. Supply chain pain points stem from "technology-information-mechanism" barriers (uneven digitalization, data silos, no standardized systems); 2. FinTech and technology finance share "AI + big data + blockchain" base, adopt "data as credit core" logic, and form a four-step mechanism (data interoperability, precise adaptation, risk control linkage, full-chain upgrading); 3. Synergy has universality (convergent tech/value) and industry differences (Sany: equipment/capital; SHEIN: supplier payment/consumers; CMB: tailored support). It builds an "enterprise + bank" dual-subject framework, confirming their interdependence as key. Countermeasures: enterprises pursue phased digitalization (start with order management); financial institutions provide scenario-based services; governments build unified data platforms. Fills single-subject gaps, offers paths to boost supply chain stability/efficiency, guides industrial digital transformation.
KW - Bank-Enterprise Collaborative Empowerment
KW - Financial Technology
KW - Supply Chain Efficiency
KW - Supply Chain Finance
KW - Supply Chain Resilience
KW - Technology Finance
UR - https://www.scopus.com/pages/publications/105031597445
U2 - 10.52202/083767-0036
DO - 10.52202/083767-0036
M3 - Conference contribution
AN - SCOPUS:105031597445
T3 - Proceedings of the 15th International Conference on Logistics and Systems Engineering
SP - 352
EP - 362
BT - Proceedings of the 15th International Conference on Logistics and Systems Engineering
A2 - Li, Wei
A2 - Zhang, Hanjiang
A2 - Zhang, Henry
T2 - 15th International Conference on Logistics and Systems Engineering
Y2 - 14 November 2025 through 15 November 2025
ER -