The Impact Mechanism of Ai-Driven Supply Chain Creditworthiness Assessment on Commercial Banks' Credit Policies for Smes

Item

ชื่อเรือง

The Impact Mechanism of Ai-Driven Supply Chain Creditworthiness Assessment on Commercial Banks' Credit Policies for Smes

ผู้แต่ง

Wu Feng

หัวเรื่อง

Artificial intelligence -- Financial applications
Business logistics -- Finance หรือ Supply chain finance
Credit analysis

รายละเอียดอื่นๆ

This study explores how Artificial Intelligence (AI)-driven creditworthiness assessments within supply chains can reshape commercial banks' credit policies toward small and medium-sized enterprises (SMEs), aiming to address persistent SME financing challenges through technological innovation. Grounded in information asymmetry theory, relationship lending theory, group lending theory, and supply chain finance theory, the study tests five core hypotheses using structural equation modelling (SEM) based on survey data from 360 commercial banking professionals in China.
The results reveal that both SME credit status and core firm influence exert significant positive direct effects on bank credit policy (β = 0.285, β = 0.317, p < 0.001). Furthermore, AI-enhanced bank cognition plays a key partial mediating role in these relationships, with significant indirect effects (β = 0.167, β = 0.193, p < 0.001). Notably, AI assessment accuracy demonstrates a significant positive moderating effect, with high-precision AI systems amplifying the influence on policy outcomes (β = 0.124, β = 0.138, p < 0.001). These findings suggest that AI fundamentally transforms SME credit assessment by improving risk evaluation precision, leveraging supply chain relational value, and enhancing banks' cognitive capabilities. The moderating role of AI system accuracy highlights the importance of technological maturity in optimizing AI's benefits.
This study provides robust empirical evidence that AI-enabled supply chain finance presents a viable pathway to easing global SME financing constraints while upholding sound risk management practices.

Keywords: Artificial Intelligence, supply chain finance, SME financing, credit policy, structural equation modelling, mediating effect, moderating effect

ผู้จัดพิมพ์/สำนักพิมพ์

Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology

ผู้ร่วมสร้างรรค์ ผู้ร่วมงาน

Nusanee Meekaewkunchorn
Chaiyawit Muangmee
Tatchapong Sattabut

วันที่ ปีที่จัดพิมพ์

2025

วันที่ผลิต วันที่จัดทำ

2026-09-23

วันที่ปรับปรุงข้อมูล

2026-09-23

วันที่เผยแพร่

2026-09-23

ประเภท

thesis

รูปแบบ

application/pdf

ภาษา

eng

ลิขสิทธิ์

Bansomdejchaopraya Rajabhat University

Degree (name, level, descipline, grantor)

Degree of Doctor of Philosophy
Doctoral degree
Business Administration Program (International Program)
Bansomdejchaopraya Rajabhat University

คอลเลกชั่น

Wu Feng.pdf

Wu Feng, “The Impact Mechanism of Ai-Driven Supply Chain Creditworthiness Assessment on Commercial Banks' Credit Policies for Smes”, Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology, 2025, คลังข้อมูลวิจัย มหาวิทยาลัยราชภัฎบ้านสมเด็จเจ้าพระยา, accessed September 24, 2026, http://dlib.bsru.ac.th/s/research/item/3874