Analysis of User Satisfaction in Information Systems Using TAM Model

Authors

  • Sakha Aulia UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Anggun Fitriana Dewi UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Esti Salsabella Pratiwi UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Faradila Rifkotun Niswah UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Rizki Kurniawan UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Muhammad Rizki UIN K.H Abdurahman Wahid Pekalongan Penulis
  • Mansur Chadi Mursid UIN K.H Abdurahman Wahid Pekalongan Penulis

Keywords:

TAM, User Satisfaction, Information Systems

Abstract

TAM is a conceptual framework developed by Davis to explain technology acceptance through perceived ease of use and perceived usefulness. The model has been extensively applied in information systems research as it captures the relationship between user attitudes and levels of satisfaction. The background of this study arises from the rapid expansion of digital systems across multiple sectors, which demands evidence-based evaluation of user satisfaction. The objective of this research is to examine patterns of user satisfaction in information systems through the Technology Acceptance Model by comparing findings from twenty international scholarly articles indexed in Scopus Q1, Q2, and Q3. The method employed is a literature review using a comparative analytical approach focused on key variables such as perceived usefulness, perceived ease of use, attitude towards use, and user satisfaction. The findings indicate that most studies report a strong influence of perceived usefulness on user satisfaction, accompanied by the contribution of perceived ease of use in reinforcing positive user attitudes. Variations in findings are identified in relation to external factors, including system quality and user experience. The study concludes that TAM remains a dominant model in the evaluation of information systems and provides a structured understanding of user satisfaction grounded in empirical evidence.

Unduhan

Data unduhan tidak tersedia.

References

Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023). “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms”. Education and Information Technologies, 28(11), 15381–15413. https://doi.org/10.1007/s10639-023-11816-3

Alshammari, M. M., & Al-Mamary, Y. H. (2025). User acceptance of AI-powered training: extending the technology acceptance model (TAM). Future Business Journal, 11(1). https://doi.org/10.1186/s43093-025-00665-w

Alsyouf, A., Lutfi, A., Alsubahi, N., Alhazmi, F. N., Al-Mugheed, K., Anshasi, R. J., Alharbi, N. I., & Albugami, M. (2023). The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability. International Journal of Environmental Research and Public Health, 20(2). https://doi.org/10.3390/ijerph20021347

Chen, B., Chang, Y., Wang, B., Zou, J., & Tu, S. (2024). Technology acceptance model perspective on the intention to participate in medical talents training in China. Heliyon, 10(4), e26206. https://doi.org/10.1016/j.heliyon.2024.e26206

Damanik, F. S., Widayanti, A. W., & Wiedyaningsih, C. (2025). Exploring Technology Acceptance Models: A Systematic Review of Health Application Adoption in Asian Countries. JURNAL MANAJEMEN DAN PELAYANAN FARMASI (Journal of Management and Pharmacy Practice), 15(2), 110. https://doi.org/10.22146/jmpf.96755

Fel, S., Kozak, J., & Horodyski, P. (2025). Responsibility and AI: Exploring technology acceptance models. Journal of Innovation and Knowledge, 10(6). https://doi.org/10.1016/j.jik.2025.100852

García, J. A. M., Gómez, C. G., López, A. T., & Schlosser, M. J. (2024). Applying the technology acceptance model to online self-learning: A multigroup análisis. Journal of Innovation and Knowledge, 9(4). https://doi.org/10.1016/j.jik.2024.100571

Hussain, A., Zhiqiang, M., Li, M., Jameel, A., Kanwel, S., Ahmad, S., & Ge, B. (2025). The mediating effects of perceived usefulness and perceived ease of use on nurses’ intentions to adopt advanced technology. BMC Nursing, 24(1). https://doi.org/10.1186/s12912-024-02648-8

Kelly, A. E., & Palaniappan, S. (2023). Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana. Journal of Innovation and Entrepreneurship, 12(1). https://doi.org/10.1186/s13731-023-00301-3

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding Psychosocial Barriers to Healthcare Technology Adoption: A Review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT Frameworks. Healthcare (Switzerland), 13(3). https://doi.org/10.3390/healthcare13030250

Musa, H. G., Fatmawati, I., Nuryakin, N., & Suyanto, M. (2024). Marketing research trends using technology acceptance model (TAM): a comprehensive review of researches (2002–2022). Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2329375

Park, J. H., Lee, C. W., & Do, C. (2025). Examining Users’ Acceptance Intention of Health Applications Based on the Technology Acceptance Model. Healthcare (Switzerland), 13(6), 1–13. https://doi.org/10.3390/healthcare13060596

Schorr, A. (2023). The Technology Acceptance Model (TAM) and its Importance for Digitalization Research: A Review. International Symposium on Technikpsychologie (TecPsy) 2023, 55–65. https://doi.org/10.2478/9788366675896-005

Song, Y., Gui, L., Wang, H., & Yang, Y. (2023). Determinants of Continuous Usage Intention in Community Group Buying Platform in China: Based on the Information System Success Model and the Expanded Technology Acceptance Model. Behavioral Sciences, 13(11). https://doi.org/10.3390/bs13110941

Wan, D., & Peng, L. (2025). Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts. World Electric Vehicle Journal, 16(1), 1–27. https://doi.org/10.3390/wevj16010002

Wang, C., Ahmad, S. F., Bani Ahmad Ayassrah, A. Y. A., Awwad, E. M., Irshad, M., Ali, Y. A., Al-Razgan, M., Khan, Y., & Han, H. (2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce. Heliyon, 9(8), e18349. https://doi.org/10.1016/j.heliyon.2023.e18349

Wang, M., Ramasamy, S. S., Dawod, A. Y., & Yu, X. (2025). Development and TAM-Based Validation of a User Experience Scale for Actual System Use in Online Courses. Education Sciences, 15(7), 1–31. https://doi.org/10.3390/educsci15070855

Wang, W., & Lu, Y. (2025). Survey on Chinese users’ acceptance of AI assistants: expanding technology acceptance model. Scientific Reports, 15(1), 1–20. https://doi.org/10.1038/s41598-025-18123-6

Wei, W., Prasetyo, Y. T., Belmonte, Z. J. A., Cahigas, M. M. L., Nadlifatin, R., & Gumasing, M. J. J. (2025). Applying the technology acceptance model – Theory of planned behavior (TAM-TPB) model to study the acceptance of building information modeling (BIM) in green building in China. Acta Psychologica, 254(February), 104790. https://doi.org/10.1016/j.actpsy.2025.104790

Published

2026-06-28

How to Cite

Analysis of User Satisfaction in Information Systems Using TAM Model. (2026). Jurnal Penelitian Ilmiah Multidisipliner , 3(01). https://ojs.ruangpublikasi.com/index.php/jpim/article/view/2323