Che-Hung Lin Kuo Cheng Chung
Papers
1
Total Citations
17
H-Index
1
About
Che-Hung Lin Kuo Cheng Chung is a prominent researcher at the intersection of financial technology, human-computer interaction, and behavioral psychology. His work primarily explores the psychological drivers that shape user engagement with emerging financial tools, with a particular focus on the role of self-efficacy in technology adoption. In his highly cited 2023 study, "Drivers of Financial Robot Continuance Usage Intentions: An Application of Self-efficacy Theory," he developed an interactive model demonstrating how individuals' confidence in their own abilities influences their sustained use of financial robots for investment and financial management. This research, which has already garnered 17 citations, provides critical insights for FinTech developers seeking to enhance user retention and for policymakers aiming to promote financial literacy through technology. By bridging self-efficacy theory with practical financial applications, Chung has established himself as a key voice in understanding the human factors behind digital financial services, offering both theoretical frameworks and actionable guidance for the rapidly evolving FinTech landscape.
Research Focus
Key Achievements
Top Papers
- 1