| Title: | The Influence of Financial Technology on Loan Based on Technology Acceptance Model∶ A Case Study of Small and Medium-Sized Enterprises in Zhejiang Province |
| Author: | Cheng Liyun |
| Advisor: | ดร.จิดาภา ชลธารรัตนพงศ์ – Dr. Jidapa Chollathanrattanapong |
| Degree: | Master of Business Administration |
| Major: | Finance and Accounting |
| Faculty: | บัณฑิตวิทยาลัย (Graduate School) |
| Academic year: | 2568 (2025) |
| Published: | นำเสนอในที่ประชุมวิชาการ (Conference) The 1st Thailand-Sino International Conference and The 17th National and International Academic Conference “New Quality Productive Forces and Sustainable Innovation” 14-16 November 2024 (pp.1084-1096) Click PDF |
Abstract
This study investigated the adoption of fintech lending among Small and Medium-Sized Enterprises (SMEs) in Zhejiang Province, China, through the lens of the Technology Acceptance Model (TAM). Despite fintech’s potential to address SMEs financing gaps, low financial literacy (38.03% as per national surveys) and uneven technology acceptance hinder its transformative impact. The objectives of this study were: 1) To analyze the impact of fintech on lending factors based on the Technology Acceptance Model (TAM), as well as their interaction relationships, 2) To provide decision – making references for fintech companies, the government, and Zhejiang’s SMEs.
This study employed a quantitative research method,with 171 SMEs selected via purposive sampling, and structural equation modeling (SEM) to analyze the causal pathways between TAM constructs—Perceived Ease of Use (PEU), Perceived Usefulness (PU), Attitude toward Using (ATU), and Behavioral Intention to Use (BI).
The findings revealed: 1) Fintech lending streamlines loan processes (85% efficiency gain), reduces transaction costs by 40%, and expands capital access for 70% of SMEs with annual revenues below 200 million yuan, directly addressing traditional financing barriers. 2) The study identifies digital literacy gaps as a key moderating factor, with only 25% of respondents holding postgraduate degrees correlating with lower PEU scores (p<0.01).
These outcomes underscore fintech’s dual role as an operational efficiency tool and a financial inclusion catalyst. For practitioners, the results suggest fintech firms should prioritize user-centric design and targeted education programs to bridge literacy gaps. Policymakers are urged to develop balanced regulatory frameworks that incentivize innovation while mitigating cybersecurity risks—a critical concern given Zhejiang’s 350 registered fintech lenders.
By integrating the empirical TAM validation with actionable policy insights, this study advances the theoretical discourse on technology adoption in emerging economies while providing a replicable framework for MSME financing optimization.
Keywords: fintech lending, Technology Acceptance Model, perceived ease of use, perceived usefulness, digital literacy, attitude towards use, behavioral intention to use.
6617195706 Cheng Liyun. 2568 (2025). Advisor: ดร.จิดาภา ชลธารรัตนพงศ์ – Dr. Jidapa Chollathanrattanapong, สารนิพนธ์ (Independent Study), The Influence of Financial Technology on Loan Based on Technology Acceptance Model∶ A Case Study of Small and Medium-Sized Enterprises in Zhejiang Province, นำเสนอในที่ประชุมวิชาการ (Conference), The 17th National and International Academic Conference 2024, ปริญญาโท (Master’s Degree), บัณฑิตวิทยาลัย (Graduate School), Master of Business Administration, Finance and Accounting, Siam University, Bangkok, Thailand – มหาวิทยาลัยสยาม กรุงเทพมหานคร ประเทศไทย
