Critical Review of the Technology Acceptance Model in Information Systems Research
DOI:
https://doi.org/10.56861/jsiska.v1i1.24Keywords:
Technology Acceptance Model (TAM), Information Systems, IS ResearchAbstract
This paper presents a critical review of the Technology Acceptance Model (TAM), a widely recognized framework in Information Systems (IS) research used to explain and predict technology adoption behavior. Originating from the Theory of Reasoned Action, TAM emphasizes two core constructs: perceived usefulness and perceived ease of use, which shape users’ intentions and actual system usage. While its simplicity and predictive capability have driven widespread application across domains such as e-commerce, healthcare, education, and mobile technology, the model has also faced criticism for overlooking social, emotional, and contextual influences. This review explores the model’s theoretical foundations, empirical applications, limitations, and evolution through extensions like TAM2, TAM3, and the Unified Theory of Acceptance and Use of Technology (UTAUT). It further discusses contextual and cross-cultural factors that affect the model’s applicability and provides insights for adapting TAM to contemporary technologies such as AI, mobile platforms, and social media. Ultimately, the study underscores the importance of integrating TAM with alternative models to capture the complexity of technology acceptance in diverse environments
References
Alfalih, A., & Ragmoun, W. (2025). The impact of transformational leadership on the workplace well-being of employees with disabilities: series mediation and moderation process. Frontiers in Public Health, 13. https://doi.org/10.3389/fpubh.2025.1506257
Alzahrani, L., & Seth, K. P. (2021). Factors influencing students’ satisfaction with continuous use of learning management systems during the COVID-19 pandemic: An empirical study. Education and Information Technologies, 26(6), 6787. https://doi.org/10.1007/s10639-021-10492-5
Barrette, C. (2015). Usefulness of technology adoption research in introducing an online workbook. System, 49, 133. https://doi.org/10.1016/j.system.2015.01.005
Birkmeyer, S., Wirtz, B. W., & Langer, P. F. (2021). Determinants of mHealth success: An empirical investigation of the user perspective. International Journal of Information Management, 59, 102351. https://doi.org/10.1016/j.ijinfomgt.2021.102351
Hakkak, M., Vahdati, H. A., & Biranvand, V. P. (2013). An extended technology acceptance model for detecting influencing factors: An empirical investigation. Management Science Letters, 2795. https://doi.org/10.5267/j.msl.2013.09.030
Hoong, Y., & Rezania, D. (2024). Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises. Computers & Security, 142, 103852. https://doi.org/10.1016/j.cose.2024.103852
Hossain, M. A., Tiwari, A., Saha, S., Ghimire, A., Imran, M. A. U., & Khatoon, R. (2024). Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System. Journal of Computer and Communications, 12(8), 242. https://doi.org/10.4236/jcc.2024.128015
Ibrahim, F., Münscher, J., Daseking, M., & Telle, N.-T. (2025). The technology acceptance model and adopter type analysis in the context of artificial intelligence. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1496518
Kamarulzaman, N. H., Mukherjee, A., & Rashid, M. F. Z. (2013). E-Procurement Adoption in the Agro-Based Sector: A Malaysian Perspective. Journal of International Food & Agribusiness Marketing, 25, 35. https://doi.org/10.1080/08974438.2013.800011
Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & Management, 35(4), 237. https://doi.org/10.1016/s0378-7206(98)00096-2
Koul, S., & Eydgahi, A. (2017). A systematic review of technology adoption frameworks and their applications [Review of A systematic review of technology adoption frameworks and their applications]. Journal of Technology Management & Innovation, 12(4), 106. Alberto Hurtado University. https://doi.org/10.4067/s0718-27242017000400011
Kruse, C. S., DeShazo, J. P., Kim, F., & Fulton, L. (2014). Factors Associated With Adoption of Health Information Technology: A Conceptual Model Based on a Systematic Review [Review of Factors Associated With Adoption of Health Information Technology: A Conceptual Model Based on a Systematic Review]. JMIR Medical Informatics, 2(1). JMIR Publications. https://doi.org/10.2196/medinform.3106
Kumari, V., Bala, P. K., & Chakraborty, S. (2023). An Empirical Study of User Adoption of Cryptocurrency Using Blockchain Technology: Analysing Role of Success Factors like Technology Awareness and Financial Literacy. Journal of Theoretical and Applied Electronic Commerce Research, 18(3), 1580. https://doi.org/10.3390/jtaer18030080
Lai, V. S., & Li, H. (2004). Technology acceptance model for internet banking: an invariance analysis. Information & Management, 42(2), 373. https://doi.org/10.1016/j.im.2004.01.007
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 [Review of 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, 13(3), 250. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/healthcare13030250
Li, Y., Castulo, N. J., & Xu, X. (2025). Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1505856
Lim, W. M. (2018). Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments. AJIS. Australasian Journal of Information Systems/AJIS. Australian Journal of Information Systems/Australian Journal of Information Systems, 22. https://doi.org/10.3127/ajis.v22i0.1651
Lim, W. M., & Ting, D. H. (2012). E-shopping: an Analysis of the Technology Acceptance Model. Modern Applied Science, 6(4). https://doi.org/10.5539/mas.v6n4p49
Malatji, W. R., Eck, R. V., & Zuva, T. (2020). Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM). Advances in Science Technology and Engineering Systems Journal, 5(6), 113. https://doi.org/10.25046/aj050612
Metallo, C., Agrifoglio, R., Lepore, L., & Landriani, L. (2022). Explaing users’ technology acceptance through national cultural values in the hospital context. BMC Health Services Research, 22(1). https://doi.org/10.1186/s12913-022-07488-3
Modliński, A. (2024). TO BOAST OR NOT TO BOAST: THE IMPACT OF ADVERTISING THE USE OF AUTONOMOUS ALGORITHMS TO BANK AND HOSPITAL CUSTOMERS AND EMPLOYEES.
Neves, C., Oliveira, T., Cruz‐Jesus, F., & Venkatesh, V. (2024). Extending the unified theory of acceptance and use of technology for sustainable technologies context. International Journal of Information Management, 80, 102838. https://doi.org/10.1016/j.ijinfomgt.2024.102838
Pedrosa, G. V., Kosloski, R. A. D., Menezes, V. G. de, Iwama, G. Y., Silva, W. C. M. P. da, & Figueiredo, R. M. da C. (2020). A Systematic Review of Indicators for Evaluating the Effectiveness of Digital Public Services [Review of A Systematic Review of Indicators for Evaluating the Effectiveness of Digital Public Services]. Information, 11(10), 472. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/info11100472
Peng, M. Y. (2019). The Influence of Technology Readiness and Interactivity on Consumers Behavior. DEStech Transactions on Social Science Education and Human Science. https://doi.org/10.12783/dtssehs/emse2018/27202
Pinho, J. C., & Soares, A. M. (2011). Examining the Technology Acceptance Model in the Adoption of Social Ne tworks. Apas Papers. https://ideas.repec.org/p/nsu/apasro/348.html
Rahimi, B., Nadri, H., Afshar, H. L., & Timpka, T. (2018). A Systematic Review of the Technology Acceptance Model in Health Informatics [Review of A Systematic Review of the Technology Acceptance Model in Health Informatics]. Applied Clinical Informatics, 9(3), 604. Thieme Medical Publishers (Germany). https://doi.org/10.1055/s-0038-1668091
Rathnayake, A. S., Nguyen, T. D. H. N., & Ahn, Y. (2025). Factors Influencing AI Chatbot Adoption in Government Administration: A Case Study of Sri Lanka’s Digital Government. Administrative Sciences, 15(5), 157. https://doi.org/10.3390/admsci15050157
Razali, M. A. M., & Razak, S. S. A. (2023). Adopting Dashboard Solution Reporting Mechanism: A Case of ABC Legal Advisory Department. International Journal of Academic Research in Business and Social Sciences, 13(2). https://doi.org/10.6007/ijarbss/v13-i2/16331
Revythi, A., & Τσέλιος, Ν. (2017). Extension of Technology Acceptance Model by using System Usability Scale to assess behavioral intention to use e-learning. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1704.06127
Revythi, A., & Τσέλιος, Ν. (2019). Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning. Education and Information Technologies, 24(4), 2341. https://doi.org/10.1007/s10639-019-09869-4
Roberts, P., & Henderson, R. (2000). Information technology acceptance in a sample of government employees: a test of the technology acceptance model. Interacting with Computers, 12(5), 427. https://doi.org/10.1016/s0953-5438(98)00068-x
Rosda, R., Wali, M., & Imilda, I. (2023). Evaluation of the Successful Implementation of the SIMARDI Using the Technology Acceptance Model (TAM). SAGA Journal of Technology and Information System, 1(2), 56. https://doi.org/10.58905/saga.v1i2.67
Scherer, R., Siddiq, F., & Tondeur, J. (2018). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13. https://doi.org/10.1016/j.compedu.2018.09.009
Shahzad, M. F., Xu, S., Lim, W. M., Hasnain, M., & Nusrat, S. (2024). Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-023-02528-7
Trenerry, B., Chng, S., Wang, Y., Suhaila, Z. S., Lim, S. S., Lu, H., & Oh, P. H. (2021). Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors [Review of Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors]. Frontiers in Psychology, 12. Frontiers Media. https://doi.org/10.3389/fpsyg.2021.620766
Walle, A. D., Ferede, T. A., Baykemagn, N. D., Shimie, A. W., Kebede, S. D., Tegegne, M. D., Wubante, S. M., Yehula, C. M., Demsash, A. W., Melaku, M. S., & Mengistie, M. B. (2023). Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model. BMJ Health & Care Informatics, 30(1). https://doi.org/10.1136/bmjhci-2022-100707
Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review [Review of The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review]. SAGE Open, 14(1). SAGE Publishing. https://doi.org/10.1177/21582440241229570
Zaineldeen, S., Li, H., Koffi, A. L., & Hassan, B. M. A. (2020). Technology Acceptance Model’ Concepts, Contribution, Limitation, and Adoption in Education. Universal Journal of Educational Research, 8(11), 5061. https://doi.org/10.13189/ujer.2020.081106
Zhong-qing, H., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry, 11(3), 340. https://doi.org/10.3390/sym11030340
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