Implementation of The Technology Acceptance Model (TAM) to Evaluate The Information System Application at Universitas Putra Indonesia YPTK
DOI:
https://doi.org/10.22303/csrid-.18.2.2026.366-380Keywords:
Technology acceptance, user acceptance, perceived usefulness, perceived ease of useAbstract
The development of information technology in education has encouraged of implementation of integrated information systems to improve academic, administrative, and service processes; however, their effectiveness is strongly influenced by the level of user acceptance. This study aims to measure the acceptance of the Academic Information System at Universitas Putra Indonesia YPTK using the Technology Acceptance Model (TAM). The novelty of this study lies in the development of an extended TAM model by integrating Information Quality (INQ), System Quality (SYQ), and Service Quality (SVQ) as quality factors mediated by User Satisfaction (USF) in influencing Net Benefit (NBF). A quantitative descriptive approach was employed involving 108 respondents consisting of students, lecturers, and administrative staff. Data were collected using a Likert-scale questionnaire and analyzed using Structural Equation Modeling (SEM). The results indicate that System Quality (SYQ) is the strongest predictor of User Satisfaction (USF), which subsequently has a dominant effect on Net Benefit (NBF), thereby validating the model as an effective evaluation framework to support system quality improvement and digital transformation in higher education.
References
Laudon, K. C., & Laudon, J. P. (2020). Management information systems: Managing the digital firm (15th ed.). Pearson.
Lee, K. C., & Chung, N. K. (2009). Understanding factors affecting user acceptance of e-learning: An empirical study. Computers & Education, 49(4), 110–122.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation). Massachusetts Institute of Technology.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://www.jstor.org/stable/30036540.
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & ducation, 52, 302–312.
Šumak, B., Heričko, M., & Pušnik, M. (2013). A meta-analysis of e-learning and technology acceptance model studies. Educational Technology & Society, 16(2), 317–333.
Yousafzai, S., Foxall, G., & Pallister, J. (2007). Technology acceptance: A meta-analysis of the TAM. Journal of Modelling in Management, 2(3), 251–280.
Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81–95. https://doi.org/10.1007/s10209-014-0348-1.
Tarhini, A., Hone, K., & Liu, X. (2014). Cross-cultural examination of factors influencing education technology acceptance. British Journal of Educational Technology, 45(1), 92–114.
Oliveira, T., Thomas, M., & Espadanal, M. (2015). Assessing the determinants of cloud computing adoption: An analysis using TAM. Computers in Human Behavior, 43, 165–176.
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12(3), 150–162.
Kuo, L., & Yen, J. (2017). Explaining students’ intention to use e-learning systems: A new TAM framework. Computers & Education, 105, 1–17.
Saputro, R., & Salam, Y. (2020). Penerapan model TAM terhadap perilaku penggunaan aplikasi SIAKAD. Jurnal Ilmiah Informatika Komputer, 10(2), 45–54.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Pearson.
Alshare, K., & Lane, M. (2011). Predicting student perceived learning outcomes using the TAM. Journal of Information Systems Education, 22(4), 309–317.
King, M., & He, Y. (2015). Understanding the role of user satisfaction in technology acceptance. Information & Management, 52(3), 384–395.
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.
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. https://doi.org/10.1080/07421222.2003.11045748.
Sensuse, D., et al. (2010). Penerimaan e-learning di Universitas Indonesia. Jurnal Sistem Informasi (JSI).
Oliveira, T., et al. (2015). Cloud computing adoption. Computers in Human Behavior.
Tarhini, A., et al. (2014). Educational technology acceptance across cultures.
Alshare, A., & Lane, M. (2011). Learning outcomes using TAM.
Çelik, K., & Ayaz, A. (2022). Validation of the DeLone and McLean Information Systems Success Model: A Study on Student Information System. Education and Information Technologies, 27(4), 4709–4731. https://doi.org/10.1007/s10639-021-10807-1
Widyaningrum, T., et al. (2024). The DeLone and McLean Information System Success Model: Investigating User Satisfaction in Learning Management Systems. Journal of Education Technology, 8(2), 135–149.
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., et al. (2022). Meta-analysis and future research directions in technology adoption research. International Journal of Information Management, 63, 102488.
Xue, L., Zhang, Y., & Wang, H. (2024). The Unified Theory of Acceptance and Use of Technology in Higher Education: A Systematic Literature Review. SAGE Open, 14(1), 1–19.
Barz, N., & Colleagues. (2024). Students’ Acceptance of E-Learning: Extending the Technology Acceptance Model with Individual Factors. Discover Education, 3(1), 1–19.
Azeroual, O., Schöpfel, J., & Saake, G. (2021). Implementation and User Acceptance of Research Information Systems. Data Technologies and Applications, 55(4), 585–604.
Shahi, R., & Sharma, P. (2025). Digital Transformation: Adoption of Information Technology Systems in Higher Education Institutions. Cogent Education, 12(1), 2524601.
Bilgin, S., & Colleagues. (2025). A Detailed Examination of Faculty Acceptance of Artificial Intelligence: Insights from Key Variables of the Technology Acceptance Model. Journal of Positive School Psychology, 9(2), 125–142.
Slamet, T. S. (2025). Critical Review of the Technology Acceptance Model in Information Systems Research. Jurnal Sistem Informasi dan Komputer Akuntansi, 5(1), 45–60.
Wulansari, A., et al. (2024). Analisis Kesuksesan Layanan Digital Perguruan Tinggi Menggunakan Model DeLone dan McLean untuk Meningkatkan Kepuasan Pengguna. Jurnal Sistem Informasi Bisnis, 14(2), 120–13
Baginda, F. O. (2025). Penerapan Model DeLone dan McLean dalam Menganalisis Keberhasilan Sistem Informasi. Diffusion: Journal of Systems and Information Technology, 5(1), 15–29.
Schorr, A. (2023). The Technology Acceptance Model (TAM) and Its Importance for Digitalization Research: A Review. Proceedings of the International Symposium on Technikpsychologie, 55–65
