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Key Influencers Shaping Postgraduate Student Satisfaction and Continued Use of Knowledge Payment Platforms in Chengdu, China |
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| รหัสดีโอไอ | |
| Creator | Kejing Liang |
| Title | Key Influencers Shaping Postgraduate Student Satisfaction and Continued Use of Knowledge Payment Platforms in Chengdu, China |
| Publisher | Assumption University Press |
| Publication Year | 2569 |
| Journal Title | The Scholar: Human Sciences |
| Journal Vol. | 18 |
| Journal No. | 1 |
| Page no. | 1-9 |
| Keyword | Postgraduates, Knowledge Payment Platforms, ISSM, User Satisfaction, Continuing Intention |
| URL Website | https://assumptionjournal.au.edu/index.php/Scholar/article/view/8551 |
| Website title | The Scholar: Human Sciences |
| ISSN | 2586-9388 |
| Abstract | Purpose: The purpose of this study was to identify and analyze the factors influencing graduate students' behavioral intention (CI) and user satisfaction (USAT) with a knowledge payment platform. It focused on how system quality, information quality, service quality, utilitarian value, and hedonic value affect these outcomes. Research Design, Data, and Methodology: The research utilized a quantitative survey approach to collect data from 490 valid responses from 500 distributed questionnaires among graduate students in Chengdu, China. The study used a structured questionnaire to measure system quality (SEQ), information quality (INQ), service quality (SEQ), utilitarian value (UV), hedonic value (HV), user satisfaction (USAT), and continuance intention (CI), guided by the Technology Acceptance Model (TAM) and the Information Systems Success Model (ISSM). Results: The analysis revealed that information quality was the most significant predictor of user satisfaction and influenced continuance intention. Five out of six proposed hypotheses were supported, while the data did not validate one hypothesis. Conclusions: The study concluded that enhancing information quality is crucial for improving user satisfaction and encouraging continued use of the knowledge payment platform. Future research should consider incorporating additional variables to expand and refine the conceptual framework for a more comprehensive understanding of user behavior. |
