The Influence of System Quality, Information Quality, and Expectation Confirmation on satisfaction of Government Housing Bank Digitizer System
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Abstract
This independent study aimed to 1) To study the effect of system quality on the satisfaction of users of the Government Housing Bank's Digitizer system. 2) To study the effect of information quality on the satisfaction of users of the Government Housing Bank's Digitizer system. And 3) To study the effect of confirming expectations on the satisfaction of users of the Government Housing Bank's Digitizer system. The sample group consisted of 370 employees, contract employees, and employees of the Government Housing Bank who had the right to use the Digitizer system. The instrument used in this study was a questionnaire. The statistics used for data analysis included frequency, percentage, mean, standard deviation, and multiple regression analysis
The study results found that 1) System quality factors do not significantly affect the satisfaction of users of the Government Housing Bank's Digitizer system at a statistical level of 0.05. 2) Information quality factors do significantly affect the satisfaction of users of the Government Housing Bank's Digitizer system at a statistical level of 0.05. 3) Expectation confirmation factors do significantly affect the satisfaction of users of the Government Housing Bank's Digitizer system at a statistical level of 0.05.
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References
เกษรินทร์ แพทอง. (2021, September 1). การศึกษาความพึงพอใจของผู้ใช้บริการในเขตกรุงเทพมหานครที่มีต่อคุณภาพบริการศูนย์บริการลูกค้าทางโทรศัพท์. ใน Rangsit Graduate Research Conference.
ธนาคารอาคารสงเคราะห์. (2568). รายงานประจำปี 2567. สืบค้นเมื่อ 20 มีนาคม 2568 จาก https://www.
ghbank.co.th/information/report/annual-report/
รอนงค์ ทองผา. (2564). ปัจจัยที่ส่งผลต่อความตั้งใจใช้แอปพลิเคชันค่ายมือถืออย่างต่อเนื่อง (สารนิพนธ์การจัดการมหาบัณฑิต). มหาวิทยาลัยมหิดล.
Al-Okaily, A., Al-Okaily, M., Ai Ping, T., Al-Mawali, H., & Zaidan, H. (2021). An empirical investigation of enterprise system user satisfaction antecedents in Jordanian commercial banks. Cogent Business & Management, 8(1), 1918847. https://doi.org/ 10.1080/23311975.2021.1918847.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
Choi, Y.-s., Lee, S.-z., & Choi, J. (2025). A study on factors influencing continuous usage intention of chatbot services in South Korean financial institutions. International Journal of Financial Studies, 13(2), 56. https://doi.org/10.3390/ijfs13020056.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.
Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of business process management (2nd ed.). Springer.
Li, Y., & Wang, J. (2021). Evaluating the impact of information system quality on continuance intention toward cloud financial information system. Frontiers in Psychology, 12, 713353. https://doi.org/10.3389/fpsyg.2021.713353
Nani, D. A., & Lina, L. F. (2021). Determinants of Continuance Intention to Use Mobile Commerce during the Emergence of COVID-19 In Indonesia: DeLone and McLean Perspective. SRIWIJAYA International Journal of Dynamic Economics and Business, 5(3), 261. https://doi.org/10.29259 /sijdeb.v5i3.261-272.
Mahmud, A., Prayogo, D., Sosilawati, N., Handayani, B. D., & Mardi, M. (2023). Analyzing the effects of system quality on the net benefits of the village financial system (Siskeudes): Information quality and user satisfaction as mediating variables. Management and Accounting Review, 22(1), 109–131.
Marcu, A., & Cosbey, A. (2021). Border carbon adjustments in the EU. The European Roundtable on Climate Change.
Phan Thi , H. X., & Nguyen Thi , T. N. (2020, January 31). Tourism activities and the impacts on the life of ethnic minorities in Southern Vietnam. VNU-Ho Chi Minh City, University of Social Sciences and Humanities.
Yamane, T. (1973). Statistics: An introductory analysis. Harper & Row.
Tam, C., Santos, D., & Oliveira, T. (2018). Exploring the influential factors of continuance
intention to use mobile apps: Extending the expectation-confirmation model.
Information Systems Frontiers, 20(1), 1–15. https://doi.org/10.1007/s10796-018-9864-5