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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.
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“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
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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
The Technology Acceptance Model: Its past and its future in health care
Holden, R. J., & Karsh, B.-T. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2009.07.002 · Cited by 2,669
“Reviews of the most basic version of the theory routinely find that it accounts for 30–40% of IT acceptance, despite its relative simplicity [34–38].”
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019) · Information Systems Frontiers · doi:10.1007/s10796-017-9774-y · Cited by 2,137
“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 (Dennis et al. 2001; Sabherwal et al. 2006; Sharma and Yetton 2003; Wu and Lederer 2009).”
BackgroundMethodA meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906
Schepers, J., & Wetzels, M. G. M. (2006) · Information & Management · doi:10.1016/j.im.2006.10.007 · Cited by 1,808
Investigating the Importance of Trust on Adopting an Autonomous Vehicle
Choi, J. K., & Ji, Y. G. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1070549 · Cited by 1,269
“Perceived usefulness consistently stands out as the main driver of technology adoption (King & He, 2006; Ma & Liu, 2004; Schepers & Wetzels, 2007).”
BackgroundResultInfluentialThe role of moderating factors in user technology acceptance
Sun, H., & Zhang, P. (2005) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2005.04.013 · Cited by 1,070
“On the bright side, our results show great consistency with several other meta-analysis results (Lee et al., 2003; Legris et al., 2003; Ma and Liu, 2004).”
ResultThe acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940
“In general, perceived usefulness and perceived ease of use have constituted a significant influence on an individual’s intention to use a technology or system ( Ma & Liu, 2004; Schepers & Wetzels, 2006).”
BackgroundDoes the technology acceptance model predict actual use? A systematic literature review
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2009.11.005 · Cited by 851
“Ma and Liu [39] based their meta-analysis on 26 empirical studies, Deng et al.”
BackgroundInfluentialAn empirical test of the DeLone-McLean model of information system success
Iivari, J. (2005) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/1066149.1066152 · Cited by 762
Technology acceptance: a meta‐analysis of the TAM: Part 1
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834453 · Cited by 624
“Reviews of the TAM (Lee et al., 2003a, b; Ma and Liu, 2004) reveal that these mixed findings not only undermine the precision of TAM, but also complicate efforts for IT practitioners and academicians to better understand users’ technology acceptance behaviour.”
BackgroundAdoption of ICT in a government organization in a developing country: An empirical study
Gupta, B., Dasgupta, S., & Gupta, A. (2008) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2007.12.004 · Cited by 579
“…of 26 TAM research studies indicated that among the three constructs of TAM, PEOU, PU and technology acceptance, both the relationships between PEOU and PU, and between PU and technology acceptance are strong, while the relationship between PEOU and technology acceptance is weak (Ma and Liu, 2004).”
BackgroundAlharbi, S., & Drew, S. (2014) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2014.050120 · Cited by 643
“The technology acceptance model (TAM)[13] is possibly the most widely-used framework in the field of IS for measuring technology acceptance[4, 39-41], and its high validity has been proven empirically in many previous studies[42-44].”
MethodA Framework for Guiding and Evaluating Literature Reviews
Templier, M., & Paré, G. (2015) · Communications of the Association for Information Systems · doi:10.17705/1cais.03706 · Cited by 553
“For instance, Ma and Liu (2004) report that they “carefully checked the sample (of the included studies) to make sure they were not based on the same data” (p.”
A meta-analysis of mobile commerce adoption and the moderating effect of culture
Zhang, L., Zhu, J., & Liu, Q. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.05.008 · Cited by 541
Hansen, J. M., Saridakis, G., & Benson, V. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.010 · Cited by 629
“Since its seminal appearance (Davis et al., 1989), multiple meta-analyses of extant TAM research indicate that hundreds of studies have focused on investigating and extending TAM theory in different contexts (King & He, 2006; Ma & Liping, 2004; Schepers & Wetzels, 2007; Venkatesh et al., 2003).”
BackgroundSharma, R., Yetton, P., & Crawford, J. (2009) · MIS Quarterly · doi:10.2307/20650305 · Cited by 496
Technology Acceptance among Physicians: A New Take on TAM
Yarbrough, A. K., & Smith, T. B. (2007) · Medical Care Research and Review · doi:10.1177/1077558707305942 · Cited by 482
“Although other predictive models exist, the TAM is the most widely recognized model of behavioral intention in the information systems literature (Ma and Liu 2004).”
BackgroundMethodInfluentialThakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Meléndez, A. P., Obra, A. R. D. Á., & Garrido‐Moreno, A. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.12.014 · Cited by 484
The effects of transparency on trust in and acceptance of a content-based art recommender
Cramer, H., Evers, V., Ramlal, S., van Someren, M., Rutledge, L., Stash, N., Aroyo, L., & Wielinga, B. (2008) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-008-9051-3 · Cited by 448
“Several authors have studied possible extensions to the Technology Acceptance Model (see e.g. Ndubisi et al. 2005; Ma and Liu 2004; Klopping and McKinney 2004; van der Heijden 2004). van der Heijden (2004), for example, showed that the purpose of a system plays an important role in determining the…”
BackgroundWeb Acceptance Model (WAM): Moderating effects of user experience
García, J. A. C., Muñoz‐Leiva, F., & Martínez, T. L. (2007) · Information & Management · doi:10.1016/j.im.2007.02.003 · Cited by 413
Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.008 · Cited by 374
Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2
Tamilmani, K., Rana, N. P., & Dwivedi, Y. (2020) · Information Systems Frontiers · doi:10.1007/s10796-020-10007-6 · Cited by 374
“Researchers had made continuous effort from beginning of this century to synthesize results based on the TAM employing both systematic literature review (Lee et al. 2003; Legris et al. 2003), and meta-analysis techniques (King and He 2006; Ma and Liu 2004).”
BackgroundMethodInfluentialInvestigating mobile wireless technology adoption: An extension of the technology acceptance model
Kim, S., & Garrison, G. (2009) · Information Systems Frontiers · doi:10.1007/s10796-008-9073-8 · Cited by 319
Determinants of physicians’ technology acceptance for e-health in ambulatory care
Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M., & Krcmar, H. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.02.002 · Cited by 320
“TAM is the most widely recognized model of behavioral intention of using information systems (IS) [27].”
BackgroundA Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT)
Dwivedi, Y. K., Rana, N. P., Chen, H., & Williams, M. D. (2011) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-642-24148-2_10 · Cited by 312
“A similar number of studies were also utilized in previous meta-analyses research (Deng et al. 2005; Legris et al. 2003; Ma and Liu 2004).”
MethodResultInfluentialDamerji, H., & Salimi, A. Y. (2021) · Accounting Education · doi:10.1080/09639284.2021.1872035 · Cited by 302
Hauk, N., Hüffmeier, J., & Krumm, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.01.020 · Cited by 267
The influence of acceptance and adoption drivers on smart home usage
Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2018) · European Journal of Marketing · doi:10.1108/ejm-12-2016-0794 · Cited by 349
“TAM serves as a conceptual basis for IS research and was applied and extended in a variety of contexts (King and He, 2006; Ma and Liu, 2004).”
BackgroundFactors affecting adoption of online banking: A meta-analytic structural equation modeling study
Montazemi, A. R., & Qahri-Saremi, H. (2015) · Information & Management · doi:10.1016/j.im.2014.11.002 · Cited by 293
“Second, this paper contributes to the systematic literature review and meta-analysis research in the Information Systems, in particular technology adoption literature.”
MethodExplaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors
Ortega Egea, J. M., & Román González, M. V. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.08.010 · Cited by 287
A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance1
Wu, J., & Lederer, A. L. (2009) · MIS Quarterly · doi:10.2307/20650298 · Cited by 292
Huang, H., Liaw, S.-S., & Lai, C.-M. (2013) · Interactive Learning Environments · doi:10.1080/10494820.2013.817436 · Cited by 261
“As a result, PU and PEU exert a signi fi cant in fl uence on an individual ’ s intention to use a new technology or system (Huang & Liaw, 2007; Liaw, Huang, & Chen, 2007, Ma & Liu, 2004; Weibel et al., 2012).”
Technology acceptance: a meta-analysis of the TAM: part 2
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834462 · Cited by 257
Lee, J., Lee, D., Park, Y., Lee, S., & Ha, T. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.08.020 · Cited by 263
A meta-analysis of the UTAUT model: Eleven years later
Khechine, H., Lakhal, S., & Ndjambou, P. (2016) · Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration · doi:10.1002/cjas.1381 · Cited by 246
Ketikidis, P. H., Dimitrovski, T., Lazuras, L., & Bath, P. A. (2012) · Health Informatics Journal · doi:10.1177/1460458211435425 · Cited by 250
“Numerous studies have supported the theoretical postulates of TAM, and several meta-analyses [17,18] and review articles [8,19] have noted the importance of the model in understanding the process of acceptance and use of information technology.”
ResultTeo, T. P., & Zhou, M. (2014) · Journal of Computing in Higher Education · doi:10.1007/s12528-014-9080-3 · Cited by 241
“Over the years, researchers have suggested that parsimony in TAM may be limited in accounting for the increasingly complex interactions between users and technology (Ma and Liu 2004; Schepers and Wetzels 2007; Yousafzai et al. 2007).”
BackgroundChu, T.-H., & Chen, Y. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.09.013 · Cited by 274
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.1.01 · Cited by 242
“IS research has recently reached the maturity level necessary for meaningful meta-analytic work, and thus we see metaanalytic studies in areas such as technology acceptance (King and He 2006; Legris et al. 2003; Ma and Liu 2004; Schepers and Wetzels 2007; Sharma et al. 2009; Wu and Lederer 2009), group support systems…”
BackgroundVeni, Vidi, Vici: Breaking the TAM Logjam
Straub, D. W., & Burton‐Jones, A. (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00124 · Cited by 237
What influences college students to continue using business simulation games? The Taiwan experience
Tao, Y., Cheng, C.-J., & Sun, S. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.009 · Cited by 223
“Nevertheless, PEU and PU remain the two most robust components in several recent TAM meta-analyses (King & He, 2006; Ma & Liu, 2004; Schepers & Wetzels, 2007; Yousafzai, Foxall, & Pallister, 2007).”
BackgroundExamining the technology acceptance model in the adoption of social networks
Pinho, J. C., & Soares, A. M. (2011) · Journal of Research in Interactive Marketing · doi:10.1108/17505931111187767 · Cited by 210
The relationship between system usage and user satisfaction: a meta‐analysis
Bokhari, R. H. (2005) · Journal of Enterprise Information Management · doi:10.1108/17410390510579927 · Cited by 203
Toward a better understanding of behavioral intention and system usage constructs
Wu, J., & Du, H. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.15 · Cited by 175
“This comprehensive search strategy enables us to reduce the source bias, maximize the number of studies, and thus increase the quality of this meta-analysis (Ma & Liu, 2004).”
MethodResultInvestigating end-user acceptance of autonomous electric buses to accelerate diffusion
Herrenkind, B., Brendel, B., Nastjuk, I., Greve, M., & Kolbe, L. M. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.08.003 · Cited by 195
Antecedents of continuance intentions towards e‐shopping: the case of Saudi Arabia
Al-maghrabi, T., Dennis, C., & Halliday, S. V. (2010) · Journal of Enterprise Information Management · doi:10.1108/17410391111097447 · Cited by 179
“Furthermore, other researchers (e.g. Bhattacherjee, 2001a; Ma and Liu, 2004; Van der Heijden et al., 2003) indicate that ease of use has the greatest most effect on acceptance after a certain threshold.”
BackgroundLearning management systems and technology acceptance models: A systematic review
Al-Nuaimi, M. N., & Al‐Emran, M. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10513-3 · Cited by 227
“…being the case, a wide range of systematic literature reviews and meta-analyses have scrutinized the consistently accumulating related literature for the factors influencing technology and e-learning acceptance in general (Brown, 2016; Ma & Liu, 2004; Schepers & Wetzels, 2007; Šumak et al., 2011).”
Backgrounde-Shopping acceptance: A qualitative and meta-analytic review
Ingham, J., Cadieux, J., & Berrada, A. M. (2014) · Information & Management · doi:10.1016/j.im.2014.10.002 · Cited by 170
Teo, T. P., Sang, G., Mei, B., & Hoi, C. K. W. (2018) · Interactive Learning Environments · doi:10.1080/10494820.2018.1489290 · Cited by 194
“The role of PEU in technology acceptance has also been well documented in the TAM research (Ma & Liu, 2004; Schepers & Wetzels, 2007).”
BackgroundAbu-Dalbouh (2013) · Journal of Computer Science · doi:10.3844/jcssp.2013.763.770 · Cited by 177
“Technology Acceptance Model (TAM) (Davis, 1989; Davis et al ., 1989) is possibly the most frequently used among all other theories (Ma and Liu, 2004; Kim and Chang, 2007; Yarbrough and Smith, 2007).”
BackgroundInvestigating the drivers of internet banking adoption decision
Gounaris, S. P., & Koritos, C. (2008) · International Journal of Bank Marketing · doi:10.1108/02652320810894370 · Cited by 160
Barrett, A. J., Pack, A., & Quaid, E. D. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104214 · Cited by 179
Understanding business-level innovation technology adoption
Yu, C., & Tao, Y. (2008) · Technovation · doi:10.1016/j.technovation.2008.07.007 · Cited by 158
“PEOU–PU relationship in pre-decision is included since it has been examined by almost all individual-level TAM meta-analyses (Ma and Liu, 2004; King and He, 2006; Yousafzai et al., 2007; Schepers and Wetzels, 2007).”
MethodTowards an integrated model of IT acceptance in healthcare
Moores, T. T. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.04.014 · Cited by 150
Theoretical and Empirical Considerations of Guests’ Perceptions of Biometric Systems in Hotels
Morosan, C. V. (2010) · Journal of Hospitality & Tourism Research · doi:10.1177/1096348010380601 · Cited by 150
“Moreover, a number of meta-analyses concluded that TAM is very useful model to examine adoption of new technologies (Legris, Ingham, & Collerette, 2003; Ma & Liu, 2004; Schepers & Wetzels, 2007).”
BackgroundHasan, B. (2006) · Information & Management · doi:10.1016/j.im.2005.11.005 · Cited by 149
A study of e‐recruitment technology adoption in Malaysia
Tong, D. Y. K. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570910930145 · Cited by 149
Lin, C.-H., Lin, I.-C., & Roan, J. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9656-7 · Cited by 151
“In the past two decades, exceed 100 empirical studies of the TAM have been conducted in many different contexts and shown to support the validity of the model’s constructs ( 15 , 27).”
BackgroundMethodMobile payments in India: the privacy factor
Sinha, M., Majra, H., Hutchins, J., & Saxena, R. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-05-2017-0099 · Cited by 149
Shopping on Social Networking Web Sites
Cha, J. (2009) · Journal of Interactive Advertising · doi:10.1080/15252019.2009.10722164 · Cited by 144
“A meta-analysis of the studies that have employed TAM confirms that perceived usefulness has a greater effect than perceived ease of use on the adoption of various new technologies or systems (Ma and Liu 2004).”
BackgroundWirtz, B. W., Weyerer, J. C., & Rösch, M. (2017) · International Review of Administrative Sciences · doi:10.1177/0020852317719996 · Cited by 143
“Ease of use refers to the degree of effort that users believe is required to be able to use the technology (see Davis, 1986; Ma and Liu, 2004).”
BackgroundAn investigation of user perceptions and behavioral intentions towards the e-library
Jeong, H. (2011) · Library Collections Acquisitions and Technical Services · doi:10.1016/j.lcats.2011.03.018 · Cited by 153
“Among these frameworks, the TAM is one of the most in fl uential and most frequently tested models, and it has been widely applied to the explanation of general IT adoption in the IS literature (Cho, Cheng, & Lai, 2009; Ma & Liu, 2004).”
MethodDeterminants of readiness to adopt mHealth in a rural community of Bangladesh
Khatun, F., Heywood, A. E., RAY, P. K., Hanifi, S., Bhuiya, A., & Liaw, S. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.06.008 · Cited by 130
“The Technology Acceptance Model (TAM), a widely reported model in the information technology/system (IT/S) literature, mainly considers the attitudes, perceived usefulness and perceived ease of use [34].”
BackgroundChinese Older Adults’ Internet Use for Health Information
Wong, C. K. M., Yeung, D. Y.-L., Ho, H. C. Y., Tse, K.-P., & Lam, B. C. Y. (2012) · Journal of Applied Gerontology · doi:10.1177/0733464812463430 · Cited by 129
“Inconsistent with previous research (Lee et al., 2003; Ma & Liu, 2004), perceived usefulness was not a significant predictor of behavioral intention of Internet use in the present study.”
ResultGhasemaghaei, M., & Hassanein, K. (2015) · Information & Management · doi:10.1016/j.im.2015.07.001 · Cited by 135
“One of the key assumptions in a meta-analysis is the independence of studies included in the analysis [78,125].”
BackgroundPost-positivist Review of Technology Acceptance Model.
University of Houston, & Silva, L. (2007) · Journal of the Association for Information Systems · doi:10.17705/1jais.00121 · Cited by 120
“For example, Ma and Liu (2004, pp 61-62) noticed how, in measuring TAM constructs, the reported results vary from researcher to researcher.”
BackgroundHofstede’s cultural dimensions in technology acceptance models: a meta-analysis
Jan, J., Alshare, K. A., & Lane, P. L. (2024) · Universal Access in the Information Society · doi:10.1007/s10209-022-00930-7 · Cited by 127
The effects of subjective norm and knowledge about riba on intention to use e-money in Indonesia
Aji, H. M., Berakon, I., & Riza, A. F. (2020) · Journal of Islamic marketing · doi:10.1108/jima-10-2019-0203 · Cited by 152
Understanding user acceptance of multimedia messaging services: An empirical study
Lee, M., Cheung, C. M. K., & Chen, Z. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20670 · Cited by 120
Laver, K., George, S., Ratcliffe, J., & Crotty, M. (2012) · Disability and Rehabilitation · doi:10.3109/09638288.2011.593682 · Cited by 112
“Davis’s [11] ‘Technology Acceptance Model’ (TAM) is one of the most widely recognised models used to explain user acceptance of technology, particularly in the workplace where it has been applied to email, word processing programs and the internet [12,13].”
BackgroundEngagement with information and communication technology and psychological well-being
O'Driscoll, M. P., Brough, P. A., Timms, C., & Sawang, S. (2010) · Research in occupational stress and well being · doi:10.1108/s1479-3555(2010)0000008010 · Cited by 122
An empirical analysis of online game service satisfaction and loyalty
Yang, H.-E., Wu, C., & Wang, K.-C. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.12.005 · Cited by 119
“…on TAM with the conclusion that it is believed to be more parsimonious, predictive, and robust, especially, the correlation between usefulness and acceptance, and that between usefulness and ease of use are somewhat strong, but that between ease of use and acceptance is weak (Ma & Liu, 2004).”
BackgroundThe influence of students' ICT skills and their adoption of mobile learning
Callum, K. M., & Jeffrey, L. M. (2013) · Australasian Journal of Educational Technology · doi:10.14742/ajet.298 · Cited by 118
“Even though the TAM has been widely used, it has been criticised by some researchers for not giving consistent and conclusive results (Ma & Liu, 2004; Lee, Kozar, & Larsen, 2003; Venkatesh & Davis, 2000).”
BackgroundMethodResultSector diversity in Green Information Technology practices: Technology Acceptance Model perspective
Akman, İ., & Mishra, A. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.009 · Cited by 124
Measuring Senior Technology Acceptance: Development of a Brief, 14-Item Scale
Chen, K., & LOU, V. W. Q. (2020) · Innovation in Aging · doi:10.1093/geroni/igaa016 · Cited by 112
Meta-analysis in information systems research: Review and recommendations
Jeyaraj, A., & Dwivedi, Y. K. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102226 · Cited by 108
Gerli, P., Clement, J., Esposito, G., Mora, L., & Crutzen, N. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121721 · Cited by 120
Information system end-user satisfaction and continuance intention: A unified modeling approach
Hadji, B., & Patrice Degoulet, A. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.03.021 · Cited by 130
Validation of Haptic Enabling Technology Acceptance Model (HE-TAM): Integration of IDT and TAM
Oh, J., & Yoon, S. (2014) · Telematics and Informatics · doi:10.1016/j.tele.2014.01.002 · Cited by 109
What drives consumers' continuance intention to e‐shopping?
Al-maghrabi, T., & Dennis, C. (2011) · International Journal of Retail & Distribution Management · doi:10.1108/09590551111183308 · Cited by 115
“Indeed, some research indicates that ease of use has an inconsistent or insignificant effect on acceptance (e.g. Bhattacherjee, 2001a; Chau and Hu, 2001; Ma and Liu, 2004; van der Heijden et al. 2003; Townsend et al., 2001).”
BackgroundBansah, A. K., & Agyei, D. D. (2022) · Technology Pedagogy and Education · doi:10.1080/1475939x.2022.2027267 · Cited by 95
“Ma and Liu (2005) reiterated that, in adopting a new system, users should keep in mind that the ease of use of the system has a strong impact on the end users’ perception of its usefulness.”
BackgroundResultInfluentialFactors affecting e-collaboration technology use among management students
Meléndez, A. P., Garrido‐Moreno, A., & Obra, A. R. D. Á. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.06.013 · Cited by 97
“In particular, the TAM is very well known (Ma & Liu, 2004; Venkatesh, 2000; Venkatesh & Davis, 2000; Venkatesh, Speier, & Morris, 2002) (see Fig.”
MethodTeo, T. P. (2014) · Interactive Learning Environments · doi:10.1080/10494820.2014.917110 · Cited by 92
Examining the Effects of Computer Self-Efficacy and System Complexity on Technology Acceptance
Hasan, B. (2007) · Information Resources Management Journal · doi:10.4018/irmj.2007070106 · Cited by 94
“Replication and review studies of TAM have confirmed its robustness and reliability to predict and explain IS acceptance behavior (Legris, Ingham, & Collerette, 2003; Ma & Liu, 2004; Mahmood, Hall, & Swanberg, 2001).”
BackgroundEffects of interface style on user perceptions and behavioral intention to use computer systems
Hasan, B., & Ahmed, M. U. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2006.08.016 · Cited by 91
How we trust, perceive, and learn from virtual humans: The influence of voice quality
Chiou, E. K., Schroeder, N. L., & Craig, S. D. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103756 · Cited by 107
Theoretical Perspectives of Adherence to Web-Based Interventions: a Scoping Review
Ryan, C., Bergin, M., & Wells, J. S. (2018) · International Journal of Behavioral Medicine · doi:10.1007/s12529-017-9678-8 · Cited by 86
“Other meta-analytic reviews [66, 67] also support the predictive power of the mode.”
ResultFaculty's acceptance of computer based technology: Cross-validation of an extended model
Ahmad, T. B. T., Madarsha, K. B., Zainuddin, A. M. H., Ismail, N. A. H., & Nordin, M. S. (2010) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1095 · Cited by 88
“Ma and Liu (2004) observe that the “differences in measurement items between studies tend to be the result of adapting TAM to different technologies” (pp. 61-62).”
BackgroundUnderstanding Online Community Participation
Wang, H., Chung, J. E., Park, N., McLaughlin, M. L., & Fulk, J. L. (2011) · Communication Research · doi:10.1177/0093650211408593 · Cited by 85
“Technology acceptance is either tested in the form of behavioral intention or actual use; attitude as a mediator is largely omitted given its lack of validation early on (Ma & Liu, 2004; Yousafzai et al., 2007a, 2007b).”
BackgroundDeterminants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews
Feng, G. C., Su, X., Lin, Z. C., He, Y., Luo, N., & Zhang, Y. (2020) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699020952400 · Cited by 111
“Since it was published, the TAM (Davis, 1986) and its extensions have been empirically applied to a variety of end-user technologies ranging from mobile technologies (Khayyat & Heshmati, 2013) to gaming (Yoon et al., 2013) (for a review, see Legris et al., 2003; Ma & Liu, 2004).”
BackgroundResultAldosari, B., Al-Mansour, S., Aldosari, H., & Alanazi, A. (2017) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2017.12.007 · Cited by 84
Beglaryan, M., Petrosyan, V., & Bunker, E. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.013 · Cited by 92
“This finding is not uncommon given meta-analytic studies reporting that PEOU-BI link is the most frequently disputed and the weakest in the core TAM [117, 118], particularly among physicians [68].”
ResultImproving the Effectiveness of Virtual Teams by Adapting Team Processes
Rice, D. J., Davidson, B. D., Dannenhoffer, J., & Gay, G. K. (2007) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-007-9070-3 · Cited by 93
“To this end, numerous studies of computermediated collaborations (CMCs) have been performed from several perspectives, including but not limited to technology adoption (Davis 1989; Legris et al. 2003; Ma and Liu 2004; Powell et al. 2004), decision support (DeSanctis and Gallupe 1987; Fjermestad and Hiltz 1998 2000; Go…”
BackgroundPerceived system performance: a test of an extended technology acceptance model
Liu, L., & Ma, Q. (2006) · ACM SIGMIS Database: the DATABASE for Advances in Information Systems · doi:10.1145/1161345.1161354 · Cited by 80
“Since its inception (Davis, 1986), TAM has received extensive empirical support (for recent reviews and meta analyses, see Legris et al., 2003; Ma & Liu, 2004; Venkatesh et al., 2003).”
BackgroundSelf-citationSundar, S. S., Waddell, T. F., & Jung, E. H. (2016) · 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2016.7451771 · Cited by 92
External Factors in Hospital Information System (HIS) Adoption Model: A Case on Malaysia
Lee, H. W., Ramayah, T., & Zakaria, N. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9675-4 · Cited by 79
“Moreover, researches also reviewed that TAM can be applied in predicting a wide variety of technologies [ 62 , 71].”
BackgroundAn investigation of user perceptions and attitudes towards learning objects
Lau, S. H., & Woods, P. C. (2007) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2007.00770.x · Cited by 90
“The goal is to develop an open architecture for online learning that will allow teaching to be centred around the needs of the learner and to allow for greater customisation and flexibility in the learning environment.”
BackgroundA model for the adoption of ICT by health workers in Africa
Jimoh, L., Pate, M. A., Lin, L., & Schulman, K. A. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.08.005 · Cited by 85
“[16] Q.”
Predicting tablet computer use: An extended Technology Acceptance Model for physicians
Ducey, A. J., & Coovert, M. D. (2016) · Health Policy and Technology · doi:10.1016/j.hlpt.2016.03.010 · Cited by 79
“Other meta-analyses (Ma & Liu, 2004; Schepers & Wetzels, 2007) of TAM have obtained very similar point estimates for the relationships.”
MethodResult
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.
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