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
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 659
Towards a Model of Situated Acceptance of Tablets in Teaching Practice in Moroccan Primary Schools
Rahali, E. A., khattabi, K. E., Chikhaoui, A., & Ouzennou, F. (2022) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v16i14.29685 · Cited by 4
Workshop: Promoting Technology Adoption Among Engineering Faculty
Jarvie-Eggart, M. E., & Owusu-Ansah, A. L. (2022) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie56618.2022.9962521 · Cited by 4
Increasing RPA Adoption: An Experiment on Countermeasures for Status Quo Bias
Godefroid, M., Plattfaut, R., & Niehaves, B. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-41620-0_19 · Cited by 4
Invariance of an Extended Technology Acceptance Model Across Gender and Age Group.
Ahmad, T. B. T., Madarsha, K. B., Zainuddin, A., Ismail, N. A. H., Khairani, A. Z., & Nordin, M. S. (2011) · Cited by 4
Bamufleh, D. (2021) · International Journal of Business and Management · doi:10.5539/ijbm.v16n7p12 · Cited by 4
“Compared to other models that examine technology adoption, TAM is the most widely used in the literature (Ahlan & Ahmad, 2014; Ma & Liu, 2004).”
MethodWeb Design for Science Museum towards Engaging User Experience
Yamin, M. S. A., & Jaafar, E. A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40498-6_69 · Cited by 4
Die Akzeptanz der elektronischen Gesundheitskarte in Deutschland
Wirtz, B. W., Ullrich, S., & Mory, L. (2011) · Journal of Business Economics · doi:10.1007/s11573-011-0462-y · Cited by 4
Ergonomie, conception de produits et services médiatisés
Leemput, C. V. D., & Amiel, A. (2010) · Presses Universitaires de France eBooks · doi:10.3917/puf.lepo.2010.01.0077 · Cited by 4
Chen, M., Chiu, C., & Wu, C.-C. (2010) · IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL) · doi:10.1109/digitel.2010.46 · Cited by 4
“The technology acceptance model (TAM) is a widely used model for examining the acceptance and the use of information technologies [5], [6].”
MethodA Study of Help Requested Online by Spreadsheet Users
Chambers, C., Sommers, Z., & Scaffidi, C. P. (2012) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2012100103 · Cited by 4
“Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. controlled by its perceived usefulness, as well as its perceived ease of use (Davis, 1989; Ma & Liu, 2004).”
BackgroundBick, M., Kummer, T., & Maletzky, M. (2009) · QUT ePrints (Queensland University of Technology) · Cited by 4
Klautke, H., & Park, H. S. (2011) · International journal of business science & applied management. · doi:10.69864/ijbsam.6-1.63 · Cited by 4
Zhao, Y., Yuxiang, Zhu, & Qinghua (2009) · CAS OpenIR (Chinese Academy of Sciences) · Cited by 4
Okediran, O. O., Wahab, W. B., & Oyediran, M. O. (2020) · Journal of Scientific Research and Reports · doi:10.9734/jsrr/2020/v26i730290 · Cited by 4
Factors Influencing the Adoption of Islamic Banking Products: A Review of Literature
Abdullahi, A., Othman, A. H. A., & Kassim, S. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-69221-6_126 · Cited by 4
A pedagogia da migração do software proprietário para o livre: uma perspectiva freiriana.
de Alencar, A. F. (2007) · doi:10.11606/d.48.2007.tde-08112007-150130 · Cited by 4
The Evaluation of Tourists’ Online Purchasing Behaviors Using Technology Acceptance Model (TAM)
Koçoğlu, C. M. (2021) · Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi · doi:10.18506/anemon.627416 · Cited by 3
Technological acceptance in the retail sector: an empirical generalisation by a meta-analytic study
Santini, F. D. O., Maçada, A. C. G., Freitas, J. C. D. S., Ladeira, W. J., & Oliveira, T. (2025) · Journal of Systems and Information Technology · doi:10.1108/jsit-08-2021-0179 · Cited by 5
남수태, Shin, S.-Y., & 진찬용 (2014) · The Journal of the Korean Institute of Information and Communication Engineering · doi:10.6109/jkiice.2014.18.4.848 · Cited by 3
INFLUENCIA DEL USO DE LAS TECNOLOGÍAS DE INTERNET EN EL CAPITAL ESTRUCTURAL
Navarro, J. G. C., Martínez, J. A., & Garres, A. F. M. (2006) · Investigaciones Europeas de Dirección y Economía de la Empresa · Cited by 3
Adoption of Smartphone Apps by Hotel Guests: The Roles of Trust and Word of Mouth
Shaw, N. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39399-5_43 · Cited by 3
Influencing factors for acceptance of digital tools in the humanities
Simon, T., Pagel, S., & von Korflesch, H. F. O. (2020) · Mensch und Computer (MuC) · doi:10.1145/3404983.3405524 · Cited by 3
Sociological Issues of Inclusive Web Design
Pieper, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31522-0_56 · Cited by 3
Abu-Dalbouh, H. M. (2022) · Computer and Information Science · doi:10.5539/cis.v15n3p61 · Cited by 3
Mesbah, H., & Alfailakawi, Y. (2023) · Journal of Creative Communications · doi:10.1177/09732586221137144 · Cited by 3
“A meta-analysis of 26 empirical studies that applied TAM to various technologies detected a consistent, strong relationship between PU and TA, while the relationship between PEOU and TA was medium (Ma & Liu, 2005).”
MethodYouk, S., & Park, H. S. (2023) · Human-Machine Communication · doi:10.30658/hmc.6.11 · Cited by 3
Pemanfaatan Teknologi Informasi, Kesesuaian Tugas dan Kinerja Karyawan Lembaga Perkreditan Desa
Cahyani, P. K. I. G., & Mertha, M. (2023) · E-Jurnal Akuntansi · doi:10.24843/eja.2023.v33.i06.p08 · Cited by 5
Examining the effect of moderating variables on autonomous public van acceptance model (APVAM)
Naderi, H., & Nassiri, H. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290030 · Cited by 3
Wirtz, B. W., Weyerer, J. C., & Rösch, M. (2019) · Revue Internationale des Sciences Administratives · doi:10.3917/risa.853.0583 · Cited by 3
Telework and new work practices: The role of managers
Masllorens, J. L. I., Meseguer‐Artola, A., Gilabert, E. R., & Bosch, M. S. I. (2024) · Human Resources Management and Services · doi:10.18282/hrms.v6i2.3454 · Cited by 3
Aplin-Houtz, M. J., Lane, E. K., Sharma, S., Murray, J., Leahy, S., Pines, E., Thomas, A., & Sanders, M. G. (2025) · Human Resource Development International · doi:10.1080/13678868.2025.2517008 · Cited by 4
“Despite criticisms that PU may not capture the full range of motivational factors in technology acceptance (Benbasat & Barki, 2007; Chuttur, 2009), substantial evidence supports its influence on technology adoption (e.g. Ma & Liu, 2004; Svendsen et al., 2013).”
Löbler, M. L., Bobsin, D., Visentini, M. S., & Vieira, K. M. (2010) · Contextus - Revista Contemporânea de Economia e Gestão · doi:10.19094/contextus.v8i2.32125 · Cited by 3
The factors driving online shopping in Saudi Arabia: Gender differences and behavior
Al-maghrabi, T., & Dennis, C. (2009) · Brunel University Research Archive (BURA) (Brunel University London) · Cited by 3
Modeling the Impact of Biometric Security on Millennials’ Protection Motivation
Ngugi, B. K., & Kamis, A. A. (2013) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2013100102 · Cited by 3
“Researchers in the field of technology acceptance have identified various factors that are important in the acceptance of new technologies (Davis, 1989; Ma & Liu, 2004; Venkatesh, Morris, Davis, & Davis, 2003).”
BackgroundThe effect of community identity on continuance intention of microblogging
Hsu, C. L., & Lin, A. J. (2013) · International Journal of Electronic Business · doi:10.1504/ijeb.2013.056784 · Cited by 3
Impact of classroom technologies on individual learning behavior - A Case Study
Manochehri, N., & Sharif, K. J. (2009) · IEEE Toronto International Conference Science and Technology for Humanity · doi:10.1109/tic-sth.2009.5444506 · Cited by 3
“Especially TAM has been widely used in surveying user attitudes related to information technologies which include classroom and educational technologies [21]; [22].”
MethodAccumulating is Theories Using a Network Approach towards Meta-Analysis
van de Wijngaert, L. A. L., Vermaas, K., Brinkkemper, S., & Bouwman, H. (2008) · University of Twente Research Information · Cited by 3
Factors Influencing Acceptance of E-government Self Service Technology(SST)
오종철 (2012) · The e-Business Studies · doi:10.15719/geba.13.1.201203.441 · Cited by 3
Students' intention to use computer technology: a structural equation modelling analysis
Afari, E., & Khine, M. S. (2015) · International Journal of Quantitative Research in Education · doi:10.1504/ijqre.2016.073666 · Cited by 3
Wang, Y., & Datta, P. M. (2006) · Cited by 3
Emotion Based LMS: An Investigation of User Perceptions and Attitudes
Teoh, K.-K., & Lau, S. H. (2015) · International Journal of Learning and Teaching · doi:10.18178/ijlt.1.2.154-160 · Cited by 3
Hatta, A. J. (2011) · Journal of Economics Business and Accountancy Ventura · doi:10.14414/jebav.v14i3.52 · Cited by 3
Leveraging Technology Through Crowdfunding to Ease Barriers of Entry Into the Marketplace
Melton, A. M., Damron, T., McCarthy, V., & Rupp, W. T. (2020) · International Journal of Applied Management and Technology · doi:10.5590/ijamt.2020.19.1.06 · Cited by 3
“…rate of adoption among both campaign creators and funders can also be explained in part by the TAM, which is a model commonly used to predict and explain user adoption or rejection of computer-based technology and information systems (Davis et al., 1989; Ma & Liu, 2004; Yousafzai et al., 2010).”
MethodThe Key Determinants of Social Media Use in Teaching during the Covid-19 Outbreak: Indonesia Case
Yuliana, L., Prasojo, L. D., Wijayanti, W., & Wijaya, W. M. (2021) · Indonesian Research Journal in Education |IRJE| · doi:10.22437/irje.v4i2.11265 · Cited by 3
A Study of Behavioral Intention for Mobile Commerce Using Technology Acceptance Model
Hung, Y., Yang, H.-E., Hsiao, C., & Yang, Y.-L. (2004) · Journal of the Association for Information Systems · Cited by 3
Banjanin, M. K., Maricic, G., & Stojčić, M. (2023) · International Journal for Quality Research · doi:10.24874/ijqr17.02-05 · Cited by 3
“Therefore, the initial orientation in this research is the very familiar Technology Acceptance Model (TAM) in its extended versions, which, according to Ma & Liu (2004), is valid, robust, and powerful (Marangunić & Granić, 2014) for use in a wide range of experience quality research contexts.”
Dany, F., & Römer, B. (2014) · European Conference on Information Systems · Cited by 3
The acceptance of domestic technology: TAM as applied to a proposed classification scheme
Colvin, H. M. (2008) · doi:10.31274/rtd-180813-16876 · Cited by 3
“Meta-analysis has confirmed the overall model (Ma & Liu, 2004).”
ResultHolden, R. J., Scanlon, M. C., Brown, R., & Karsh, B. (2008) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120805201201 · Cited by 3
“Measures of nurses’ beliefs about the process were based on the two beliefs specified in the popular and highly-predictive TAM (Venkatesh, 1999; see Ma & Liu, 2004 for a recent meta-analysis).”
MethodCROSS DISCIPLINARY EVALUATION FRAMEWORK FOR E-HEALTH SERVICES
Hamid, A. (2010) · Brunel University Research Archive (BURA) (Brunel University London) · Cited by 3
Me and you and everyone we know:social influences and processes in technology adoption
Schepers, J. (2008) · TU/e Research Portal · doi:10.6100/ir632219 · Cited by 3
Location-based mobile phone service utilisation for emergency management in Australia
Aloudat, A. (2010) · Research Online (University of Wollongong) · Cited by 3
AI Adoption in South African Newsrooms: Exploring Journalists’ Perceptions
Solomons, S., & Ndlovu, M. W. (2024) · Communicatio · doi:10.1080/02500167.2024.2439971 · Cited by 2
“TAM proposes, broadly, “that the perceived ease of use and perceived usefulness predict the acceptance of information technology” (Ma and Liu 2004, 59).”
Duan, R., Nadeem, A. H., & Ahmad, K. (2025) · Information Development · doi:10.1177/02666669251345131 · Cited by 2
Reflections of Fitness—Investigating User Acceptance of Smart Fitness Mirrors Based on UTAUT2
Zhang, Y., Yang, S., & Wei, W. (2025) · IEEE Access · doi:10.1109/access.2025.3589248 · Cited by 2
Goyal, N., Singh, G., & Thakur, G. (2025) · Rajagiri Management Journal · doi:10.1108/ramj-08-2024-0224 · Cited by 2
Perrier, N., Denford, J. S., & Pellerin, R. (2026) · International Journal of Production Research · doi:10.1080/00207543.2026.2672747 · Cited by 2
“One important assumption of meta-analyses is that samples in different studies are statistically independent (Ma and Liu 2004).”
Transformational Government Citizens’ Services Adoption: A Conceptual Framework
Stamati, T., Παπαδόπουλος, Θ., & Martakos, D. I. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22878-0_12 · Cited by 2
“Moreover, PEOU is not consistently linked to adoption [25] [32] [33] [23].”
Examining Non-Critical Health Information Seeking: A Needs Analysis for Personal Health Records
Price, M. M., Pak, R., Müller, H., Stronge, A. J., & Breedlove, J. L. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905302204 · Cited by 2
“In a review of the current literature, Ma & Liu (2004) found that perceived usefulness is likely to be a direct predictor of technology use, while perceived ease of use may be an indirect predictor of technology use, thus affecting technology adoption only by influencing perceived usefulness.”
권구민, & 조수영 (2017) · Journal of Public Relations · doi:10.15814/jpr.2017.21.5.27 · Cited by 2
Studying The Perception of Using Visualization Dashboard to Measure Cybersecurity Maturity Stage
Tan, K. S. T., Lee, A., & Min, C. T. (2021) · International Conference on Research and Innovation in Information Systems · doi:10.1109/icriis53035.2021.9617069 · Cited by 2
Previously Completed Systematic Review and Meta-Analysis Studies
Ursavaş, Ö. F. (2022) · Springer texts in education · doi:10.1007/978-3-031-10846-4_7 · Cited by 4
Determinants of Digital Currency Usage in Nigeria
Fepetu, O., & Adewumi, P. A. (2023) · Advances in finance, accounting, and economics book series · doi:10.4018/979-8-3693-0770-0.ch006 · Cited by 2
Teodoro, D. R., & Frogeri, R. F. (2024) · Revista Mythos · doi:10.36674/mythos.v21i1.834 · Cited by 2
“Of the two, perceived usefulness demonstrates a more pronounced correlation with acceptance compared to perceived ease of use (Ma & Liu, 2004; Szajna, 1996).”
BackgroundEmbracing Virtual Reality: Understanding Factors Influencing Older Adults’ Acceptance
Li, Q., Liu, Q., Tang, Q., & Liu, Q. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60012-8_3 · Cited by 2
An empirical assessment of online shopping behavior among Saudi college students: applying SEM
Chishty, S. K., & Sayari, S. (2024) · Cogent Business & Management · doi:10.1080/23311975.2024.2377374 · Cited by 2
“…acceptance model has been updated by many researchers, and many new variables have been added. this model is of great significance and has been applied by many researchers owing to its simplicity (al-adwan et al., 2022; king & he, 2006; lai, 2017; Ma & liu, 2004; schepers & Wetzels, 2007).”
A model for the Acceptance of emerging technology “Pacs” in Iran’s hospitals
Saghafi, F., Moghaddam, E. N., & Seyedin, S. M. (2017) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 2
Motivaciones, creencias y temores en la experiencia del usuario con las TIC
Martínez, H. C. (2019) · Dialnet (Universidad de la Rioja) · Cited by 2
Modellbasierte Evaluation der Anwenderakzeptanz von Standardsoftware
Kohnke, O., & Müller, K. (2009) · R. Oldenbourg Verlag eBooks · doi:10.1524/9783486598551.153 · Cited by 2
School Administration And Management Systems Adoption and Use: TAM Extension
Mokwena, S. (2011) · Journal of the Association for Information Systems · Cited by 2
Adoption of Second Life in Higher Education
Saeed, N., & Sukunesan, S. (2013) · International Journal of Virtual and Personal Learning Environments · doi:10.4018/jvple.2013040101 · Cited by 2
Factors Affecting the Adoption of ICT for Health Service Delivery in Namibia
Maumbe, B. M., Shivute, M. I., & Owei, V. T. (2009) · International Journal of Healthcare Delivery Reform Initiatives · doi:10.4018/jhdri.2009010105 · Cited by 2
nassar, B. A. Y. A. (2015) · International Journal of Electronic Customer Relationship Management · doi:10.1504/ijecrm.2015.070697 · Cited by 2
A COMPARATIVE STUDY OF CONSUMERS' INTENTION TO USE MOBILE INTERNET IN USA, RUSSIA AND CHINA
Vatanparast, R., & Qadim, H. Z. (2009) · Journal of the Association for Information Systems · Cited by 2
rodposhti, Z. N., Zahedfar, K., & Abadi, F. R. R. (2016) · Cited by 2
Toward the user-commitment continuum: establishing the importance of realisation
McLeod, A. J., Jr., Simkin, M., & Week, J. M. (2016) · International Journal of Learning Technology · doi:10.1504/ijlt.2016.077521 · Cited by 2
Theories behind Mobile Marketing Research
Vatanparast, R. (2010) · Advances in e-business research series · doi:10.4018/978-1-60566-074-5.ch014 · Cited by 2
The Role Of Affective Commitment In ERP Adoption: An Empirical Study
Agrifoglio, R., & Metallo, C. (2009) · Journal of the Association for Information Systems · Cited by 2
A New Model for Transparency and e-Participation
Purian, R., Ahituv, N., & Ein-Dor, P. (2013) · IGI Global eBooks · doi:10.4018/978-1-60960-839-2.ch011 · Cited by 2
Raghavan, V., Wani, M., & Abraham, D. M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-45234-0_57 · Cited by 2
“Literature suggests that PEOU’s influence on technology acceptance is moderated by PU [21].”
Exploring the Online Banking Practices of Subsidized Housing Residents
Crocker, T., & Williams, T. (2021) · Journal of Poverty · doi:10.1080/10875549.2021.1890670 · Cited by 2
“Prior research has reported the technology acceptance model as a valid investigative tool for understanding technology adoption behaviors and motivations (King & He, 2006; Ma & Liu, 2004), and thus can serve as an investigative tool for DI programmers.”
Characteristics, Perceptions, and Dietary Intakes of WIC Participants in Rural Appalachia
Isaacs, S., Shriver, L. H., & Paynter, L. (2021) · Journal of Hunger & Environmental Nutrition · doi:10.1080/19320248.2021.1910096 · Cited by 2
“and is likely driven by perceived ease of use and usefulness of the eWIC technology.(19) Our finding is consistent with previous qualitative work by Phillips et al.”
BackgroundResultHassler, E. E., MacDonald, P., Cazier, J. A., & Wilkes, J. (2021) · Journal of Information Systems Applied Research and Analytics · doi:10.62273/dbed4102 · Cited by 2
Knowledge Sharing Adoption Model Based on Artificial Neural Networks
Folorunso, O. O., Vincent, R. O., Ogunde, A. O., & Agboola, B. (2011) · IGI Global eBooks · doi:10.4018/978-1-4666-0041-6.ch004 · Cited by 2
Development of an Alumni Databank: The Case of Nueva Ecija University of Science and Technology
Navarro, E. C. (2022) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.4737 · Cited by 2
“If a user perceives a technology as easy to use and perceives it as useful to his needs, chances are he will accept it [18].”
BackgroundLi, M., Hui, W., & Reiners, T. (2023) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v27i0.3995 · Cited by 5
“In the field of information systems, meta-analysis has been used to test theories regarding technology acceptance (King & He, 2006; Ma & Liu, 2004; Schepers & Wetzels, 2007; J. Wu & Lederer, 2009), decision support system implementation (Alavi & Joachimsthaler, 1992), enterprise system…”
BackgroundMethodPrell, B., Wilbers, S., & Reiff-Stephan, J. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-42467-0_50 · Cited by 2
Tuntipisitkul, P., & Chimphimon, S. (2024) · Journal of Heritage Tourism · doi:10.1080/1743873x.2024.2376027 · Cited by 2
“According to TAM, two key factors perceived ease of use and perceived usefulness are critical predictors of technology acceptance (Ma & Liu, 2004).”
Karam, A. M. (2015) · Texas ScholarWorks (Texas Digital Library) · Cited by 2
Nel, J. (2013) · SUNScholar (Stellenbosch University) · Cited by 2
A Conceptual Model for the Use of Social Media in CompaniesPreprint
Nistor, C. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1898670 · Cited by 2
“An up-to-date review of existing TAM studies and meta analyses can be found in [24, Ma and Liu, 2004] or [22, Legris et al., 2003].”
The Influence of Context and Interactivity on Video Browsing 1
Wildemuth, B. M., Russell, T., Ward, T., Marchionini, G., & Oh, S. (2005) · Cited by 2
UNDERSTANDING IS CONTINUANCE: AN IS COMMITMENT PERSPECTIVE
Wang, Y. (2008) · Cited by 2
Cultural Influence and the Effective Use of Security Awareness in Congolese Organizations
Nzailu, A. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.043 · Cited by 1
Improving students’ understanding of geometry concepts through dynamic geometry computer software
Adelabu, F. M., Makgato, M., & Ramaligela, S. M. (2022) · doi:10.4102/aosis.2022.bk376.10 · Cited by 1
Computers and care? How can ICT integration help to build supportive PLC in ITE?
Agherdien, N. (2022) · doi:10.4102/aosis.2022.bk376.02 · Cited by 1
Fear of Missing Out and the Future of Facial Recognition Payments in the Blue Economy
Estareja, A., & Rupeika-Apoga, R. (2025) · World sustainability series · doi:10.1007/978-3-031-92390-6_14 · Cited by 1
Zubler, M. E., François, P. A., & Plattfaut, R. (2025) · Business & Information Systems Engineering · doi:10.1007/s12599-025-00962-2 · Cited by 2
“We focus on these constructs in our experiment, as researchers have determined that these are the most influential with respect to both the intention to use and the actual use of technologies (Ma and Liu 2004).”
Dijital Dönüşüm Ofisleri Perspektifinden Türkiye’de Üniversitelerin Dijitalleşme Süreci
Demir, M., & Kaplan, M. (2026) · Kent Akademisi · doi:10.35674/kent.1719899 · Cited by 1
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