The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
The Technology Acceptance Model: A Meta-Analysis of Empirical Findings
Abstract
The technology acceptance model proposes that perceived ease of use and perceived usefulness predict the acceptance of information technology. Since its inception, the model has been tested with various applications in tens of studies and has become the most widely applied model of user acceptance and usage. Nevertheless, the reported findings on the model are mixed in terms of statistical significance, direction, and magnitude. In this study, we conducted a meta-analysis based on 26 selected empirical studies in order to synthesize the empirical evidence. The results suggest that both the correlation between usefulness and acceptance, and that between usefulness and ease of use are somewhat strong. However, the relationship between ease of use and acceptance is weak, and its significance does not pass the fail-safe test.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Prior research shows that meta-analysis is a valuable tool for research synthesis (Hwang 1996; Lee et al. 2003; Ma and Liu 2004; Wu and Lederer 2009) and an operative instrument for hypothesis testing”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Ma and Liu 2004
In the citing paper
“This comprehensive search strategy allowed us to minimize the source bias, maximize the number of studies, and therefore increase the quality of the meta-analysis (Ma and Liu 2004) to be performed.”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Ma and Liu 2004
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Statistical Methods for Research Workers
Fisher, R. A. (1945) · American Journal of Clinical Pathology · doi:10.1093/ajcp/15.11.552b · Cited by 10,883
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Structural Equation Modeling and Regression: Guidelines for Research Practice
Gefen, D., Straub, D., & Boudreau, M.-C. (2000) · Communications of the Association for Information Systems · doi:10.17705/1cais.00407 · Cited by 6,416
(1985) · Cited by 6,185
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754
Cited by
Sorted by citations
Items 601–659 of 659
Buntoro, Y. M., Nastiti, P., Primasari, C. H., Wibisono, Y. P., & Negara, J. G. P. (2023) · Jurnal Sistem Informasi dan Informatika (Simika) · doi:10.47080/simika.v6i1.2351 · Cited by 2
Hadita, A., & Panjaitan, R. B. F. (2020) · Jurnal Publik · doi:10.52434/jp.v14i2.218
INTEREST FACTOR ANALYSIS IN USE OF SIA BASED E-COMMERCE ON THE SHOPEE APP USING TAM
khair, S. H. S., & Murdiansyah, I. (2023) · Value Jurnal Manajemen dan Akuntansi · doi:10.32534/jv.v18i1.3879
Kadir, J. M. A., Hassan, N. N. N. M., Bakar, A. N., Zakaria, N. B., Rawi, N. N. M., & Yunus, M. H. S. M. (2023) · Asian Journal of Empirical Research · doi:10.55493/5004.v13i3.4874
Apakah Literasi Keuangan Mampu Memperlemah Perilaku Konsumtif Mahasiswa?
Widiatami, A. K., Fatimatuzzahro, A. K., Astuti, D., & Mudrikah, S. (2023) · Value Jurnal Manajemen dan Akuntansi · doi:10.32534/jv.v18i3.4705
Faktor Yang Mempengaruhi Masyarakat Dalam Menggunakan Aplikasi Jak Lingko
Pratama, M. W., Aditya, T., Nurlukman, A. D., & Fadli, Y. (2023) · Risenologi · doi:10.47028/risenologi.v8i2.502
Langi, A. T., & Maria, E. (2023) · JABE (Journal of Applied Business and Economic) · doi:10.30998/jabe.v9i4.17158
Students’ Related Factors’ Effect on Their Performance in Online Learning: A Case Study
Tayoub, S., Sakouili, A., & Chroqui, R. (2023) · IEEE Congress on Information Science and Technology (CiSt) · doi:10.1109/cist56084.2023.10409975
“Moreover, according to the technology acceptance model, perceived utility and simplicity of use serve as the basis for the use of technology [22].”
BackgroundVaye, C., Eze, P., & Berhane, B. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--41398
HIDAYATI, N., & Karim, N. K. (2024) · GANEC SWARA · doi:10.35327/gara.v18i1.756
Riditya, N., Khaerudin, K., Winarsih, M., Wirawan, B. W., & Hidayah, N. (2023) · Jurnal ORTOPEDAGOGIA · doi:10.17977/um031v9i22023p112-117
Technologies for Collaborative Digital Information Management in Estates and Construction
Challender, J., & Oti, A. H. (2023) · doi:10.1002/9781119911425.ch07
Rabbani, A. N., & Haryatiningsih, R. (2024) · Bandung Conference Series Economics Studies · doi:10.29313/bcses.v4i1.10729
Alona, O. N., Minoza, J. T., Paglinawan, J. M., Zosa, L. T., & Rechie, B. (2024) · Ho Chi Minh City Open University Journal of Science- Economics and Business Administration · doi:10.46223/hcmcoujs.econ.en.14.2.2650.2024
“Accordingly, this model is anchored and an outcome of the integration of Social Psychology Theory and Reasoned Action Theory, which asserts that someone’s belief influences his attitude; thus, someone’s intention brings him or her to their behavior or actions (Ma & Liu, 2004).”
MethodGuo, Z., Ma, J., Cao, H., & Zhang, Z. (2024) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste62025.2024.00010
The Role of Social Media Engagement in Shaping Blockchain Adoption: Insights from Thai UsersPreprint
Pellegrino, A., & Stasi, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4954117
The Study of Characteristics of Successful Asnafpreneurs in Southern Malaysia
Munahar, M. M., Badarudin, I. M., & Harun, N. (2024) · Information Management and Business Review · doi:10.22610/imbr.v16i3s(i)a.4200
“Data from (Ma and Liu, 2004) show that usefulness is critical for IT adoption and that end users' assessments of a system's usefulness are highly impacted by its ease of use.”
BackgroundMa, C., Bunkrong, D., & Gao, C. (2025) · Cogent Arts and Humanities · doi:10.1080/23311983.2025.2482316
“While taM suggests a significant correlation between perceived usefulness and acceptance of new technologies, Ma and liu (2004) comprehensive meta-analysis of 26 empirical studies sheds light on the nuanced relationship between perceived usefulness, ease of use and acceptance. their findings…”
Baradyana, E. N., Kayunze, K. A., & Ngowi, E. E. (2025) · African Journal of Empirical Research · doi:10.51867/ajernet.6.2.39
Banerjee, A., Roychoudhury, B., & Gogoi, B. J. (2025) · Journal of Advanced Transportation · doi:10.1155/atr/4793525
Digital Transformation in Osun State's Tourism & Hospitality: A Path to Sustainable Growth
Asifat, J. T., & Abiola‐Oke, E. (2025) · doi:10.38124/ijisrt/25jun407
Food Safety 4.0: The Future of Food Safety Leveraging Industry 4.0 Technologies
Dogo, E. M., Bokaba, T., Makun, H. A., Ahmed, A., & Kparbong, P. B. (2025) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-94439-0_12
Comparison with Other Jurisdictions: Analysis of Nigeria’s Legal Framework for Electronic SignaturePreprint
Olaleye, N. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5395226
Una mirada analítica a los modelos de innovación agrícola.
Boza, C. S. Z., & Holgado, M. A. T. (2025) · Cuadernos de Economía · doi:10.15446/cuad.econ.v44n95.107350
Hansen, J. M., Levin, M. A., Whipple, J. L., & Cloud, K. (2025) · Journal of Marketing Theory and Practice · doi:10.1080/10696679.2025.2568044
Sun, W. N., Aguirre-Urreta, M. I., Ellis, M., & Marakas, G. M. (2008) · Journal of the Association for Information Systems
N., A. S. (2026) · British Journal of Mass Communication and Media Research · doi:10.52589/bjmcmr-3lrs4kxe
Torres, R. C., Olaivar, G. M., & Britanico, S. I. (2025) · doi:10.1145/3785171.3785192
“[10]”
Understanding Job Seekers' Acceptance of AI-Driven Recruitment Systems
Khan, S. A., Bhuyan, U., & Islam, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5871-0.ch002
Examining Blue Collar Adoption of Supply Chain Platforms Using Technology Acceptance Model (TAM)
Tannady, H., Wicaksana, H. H., Rustanto, A. E., Utami, E. Y., & Suprayitno, D. (2026) · International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) · doi:10.1109/icaect68478.2026.11425887
Magcuyao, J. P. H., Sabonsolin, J. A., Tejuco, H. J., & Almeniana, F. C. (2025) · International Conference on Artificial Intelligence and Teacher Education (ICAITE) · doi:10.1109/icaite68636.2025.11442388
Pertiwi, H. M. I., & Sari, W. P. (2026) · EKOMA Jurnal Ekonomi Manajemen Akuntansi · doi:10.56799/ekoma.v5i3.15527
Ghebali-Boukhris, L. (2018) · theses.fr (ABES) · doi:10.70675/76547e04z4bf6z43bbzb749zdc80c1b85584
Mudawi, M., Osman, N., Alshibani, A., Hassanain, M. A., & Mohammed, A. (2026) · Engineering Construction & Architectural Management · doi:10.1108/ecam-07-2025-1157
Rôle de l’acceptabilité dans l’interaction entre un véhicule conventionnel et un véhicule automatisé
Pottier, G. (2020) · theses.fr (ABES) · doi:10.70675/93ac0316z1d1bz4a77zb811za63aa5f8d98e
Kılınç, U., Kılınç, O., & İnce, A. (2026) · Anatolia Turizm Araştırmaları Dergisi · doi:10.17123/atad.1858362
Predicting AI adoption in research: a hybrid SEM-systematic review through an ethical lens
Miralamsi, A., & Moradi, M. (2026) · AI and Ethics · doi:10.1007/s43681-026-01114-2 · Cited by 1
“● Perceived Usefulness: Perceived usefulness has been identified as a key motivator in determining the behav - ior and intentions of using an innovative system [46 , 110 ].”
Dhewi, T. S., Kurniawan, D. T., Wilujeng, I. P., Kusnayain, Y. I., Ridzuan, A. R., & Puspitasari, E. F. (2026) · International Conference on AI Innovations and Industry (ICAIII) · doi:10.1109/icaiii69475.2026.11521568
“…perceived usefulness and perceived ease of use significantly affected the intention to visit, in fact there are still inconsistencies in the results stating that there is no significant relationship between perceived usefulness [14] – [16] and perceived ease of use [17] – [19] on visit intention.”
Uwamungu, E., Marara, A. A., Munyaneza, E., Ndahiriwe, J. B., & Pinney, J. (2026) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-026-03597-9
“However, numerous studies have also reported findings that do not align with TAM model [34].”
Value-Based Encroachment Strategy for Electric and Autonomous Vehicles: Evidence from Kuwait
Toglaw, S., Ahmad, A. A., & Salem, Z. (2026) · World Electric Vehicle Journal · doi:10.3390/wevj17060292
“A meta-analysis by [12] further revealed that while perceived usefulness strongly correlates with adoption, ease of use offers weaker explanatory power, underscoring the complexity of human behavior in high-tech transitions.”
Augmented versus mixed reality in retail: segment-specific purchase pathways
Liang, W., Xun, J., & Dolega, L. (2026) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-10-2025-0833
Jung, U., & Hwang, C. G. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2689525
Utami, T. P., Pratolo, S., Handayani, E., Anggara, A. A., & Hsiung, H.-H. (2026) · Journal of Accounting & Organizational Change · doi:10.1108/jaoc-11-2025-0445
Assessing Final Year Economics Pre-service Teachers’ Artificial Intelligence Readiness
Ngulube, B. (2026) · Journal of Educational Studies · doi:10.59915/jes.2026.25.1.2
Patanè, P., Pellino, V. C., Manzoni, F., Caldarella, E., Febbi, M., Pedrotti, L., Vandoni, M., Gatti, A., de Caro, F., & Marin, L. (2026) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-026-10281-6
“This finding is consistent with the broader literature on technology acceptance in healthcare, which identifies perceived usefulness and ease of use as primary determinants of the adoption and sustained engagement with digital health interventions [27, 38].”
Dueñas, E. A., Raylos, C., Villa, F. R. P., & Villareal, B. N. L. (2026) · Journal of interdisciplinary perspectives · doi:10.69569/jip.2026.305
Makula, J. J., Nguru, F., & William, F. K. (2026) · Educational Technology Quarterly · doi:10.55056/etq.1161
“While perceived usefulness refers to the extent to which an individual believes in the benefits of using a specific technology, perceived ease of use pertains to the importance of technology being user-friendly [ 24 ] .”
Factors influencing the use of electronic payment systems
Sánchez, V. M., Revelo-Oña, R., García-Rubio, M. P., & Pizarro, J. (2026) · Revista Venezolana de Gerencia · doi:10.52080/rvgluz.31.115.8
Exploring the acceptance of science teachers toward simulator-based technology
Kusuma, N. A., Yamtinah, S., & Sukmawati, F. (2026) · Multidisciplinary Science Journal · doi:10.31893/multiscience.2027060
ARIM: A Technology Management Framework for Agile and KPI-Driven Robotics Adoption in SMEs
Nikolić, N., Milojevic, D., Mačužić, I., Todorović, P., & Djapan, M. (2026) · Eng—Advances in Engineering · doi:10.3390/eng7080413
“The Technology Acceptance Model (TAM) [40], the Technology–Organization– Environment framework (TOE) [41], Diffusion of Innovation (DOI) theory [42], and the Unified Theory of Acceptance and Use of Technology (UTAUT) [43] are some of the theoretical frameworks for technology adoption in…”
Mutsagondo, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7262-4.ch014
Responsible AI use in faith-based educational institutions in Southeast Asia
Koroitubuna, J. N. (2026) · doi:10.63201/cqia2586
Immersive Technologies in Manufacturing Training and Education in Australia
Tanouri, A., Bayat, A., Stephenson, M., Shafei, A., & Shabahang, R. (2026) · Journal of Manufacturing and Materials Processing · doi:10.3390/jmmp10090356
“Regarding these findings, the first point to note is that perceived ease of use may not always be consistently associated with perceived positive an-https://doi.org/10.3390/jmmp10090356 ticipation, perceived usefulness, or other acceptance-related and positive perceptions [80].”
InfluentialKlein, A., & Sharma, V. M. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2734076
Seidiaghilabadi, F., Miralamsi, A., & Moradi, M. (2026) · SN Business & Economics · doi:10.1007/s43546-026-01473-2
“…tioning (e.g., White 1996 This phase also featured other mature themes, including: ● TAM/Behavioral Intentions: This area highlighted enduring predictors of user acceptance, aligning with institutional theory (e.g., Ma and Liu 2004; King and He 2006; Schepers and Wetzels 2007; Wu and Lederer 2009).”
Consumer self-service technology adoption in multiple service industries in Saudi Arabia
Alotaibi, B. H. (2014) · UUM Electronic Theses and Dissertation [eTheses] (Northern University of Malaysia)
Metadata
- Authors
- Ma, Q., & Liu, L.
- Affiliations
- University of Central Missouri (US)
- University of Akron (US)
- ORCID
- Liu, Liping
- Venue
- Journal of Organizational and End User Computing
- Publisher
- IGI Global Scientific Publishing
- Published
- 2004-01-01
- Volume
- 16
- Issue
- 1
- Pages
- 59-72
- ISSN
- 1546-2234 (ISSN-L)
- 1546-5012
- OpenAlex
- W2067960261
- Cited by
- 660
- References
- 43
- Citations by year
- 2026: 30 · 2025: 28 · 2024: 23 · 2023: 33 · 2022: 35 · 2021: 36 · 2020: 24 · 2019: 24 · 2018: 24 · 2017: 26 · 2016: 28 · 2015: 31 · 2014: 45 · 2013: 30 · 2012: 38
- FWCI
- 40.16
- Type
- journal article
- Language
- ng
- Open access
- closed
- Locations
- Journal of Organizational and End User Computing (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- technology acceptance model, perceived ease of use, perceived usefulness, technology acceptance, information technology adoption, user acceptance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
