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Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
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“Earlier studies, according to Abdullah and Ward [84,85], found that PE had a substantial impact on the PEOU and PU for e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Moreover, Abdullah and Ward [85] reported a substantial and optimistic relationship between PE and PEOU for e-learning in eight out of eleven research studies.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Perceived enjoyment is essential in assessing the adoption of e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“The same is true between PE and PU, as is evident from eight out of eight studies (100%).”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
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Cites
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Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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Cited by
Sorted by citations
Items 301–400 of 981
Pan, S., Jung, S., & Suo, S. (2023) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2023.2224477 · Cited by 27
Usefulness of Mobile Assisted Language Learning in Primary Education
Ishaq, K., Azan, N., Rosdi, F., Abid, A., & Ali, Q. (2020) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2020.0110148 · Cited by 18
“Extended TAM variants to test the adoption of consumers of a range of learning skills and in various settings including information management systems and smartphone leaning were developed [1].”
BackgroundAdoption of information systems in organizations
Arshad, M., Farooq, M., Afzal, S., & Farooq, O. (2019) · Journal of Enterprise Information Management · doi:10.1108/jeim-05-2019-0130 · Cited by 23
Li, D., & Tsai, C.-Y. (2020) · Sustainability · doi:10.3390/su12114759 · Cited by 27
Ngabiyanto, N., Nurkhin, A., Mukhibad, H., & Harsono, H. (2021) · European Journal of Educational Research · doi:10.12973/eu-jer.10.3.1171 · Cited by 23
“The GETAMEL model developed by Abdullah and Ward (2016) considers that perceived ease of use and perceived usefulness are influenced by users’ internal factors.”
InfluentialDeterminants of higher education teachers’ intention to use technology-based exams
Fink, A., Spoden, C., & Frey, A. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11435-4 · Cited by 28
“TAM is the most frequently used theory in technology acceptance literature in general (e.g., Marangunić & Granić, 2015) and in e-learning acceptance literature in particular (e.g., Abdullah & Ward, 2016; Granić & Marangunić, 2019; Scherer et al., 2019).”
BackgroundMethodInfluentialMan, S. S., Fang, Y., Chan, A. H. S., & Han, J. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12969-5 · Cited by 24
“In most previous studies, LLA has been negatively related to PEOU (Liu & Pu, 2023; Saadé & Kira, 2007) and PU (Abdullah & Ward, 2016).”
Pioneering virtual assessments: Augmented reality and virtual reality adoption among teachers
Köroğlu, M. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13159-z · Cited by 22
“Experience was measured with three items based on Abdullah et al. (2016), including "I enjoy using VR/AR tools for assessments," "I am comfortable using VR/AR tools for assessments," and "I have experience using VR/AR tools for assessments."”
E-Learning Adoption and Acceptance in Pakistan: Moderating Effect of Gender and Experience
Kanwal, F., Rehman, M., & Malik, M. A. (2020) · Mehran University Research Journal of Engineering and Technology · doi:10.22581/muet1982.2002.09 · Cited by 22
“328 The prior experience may boost learners’ perception and behavior of using e-learning systems [13].”
BackgroundYang, H., Song, H., Cheung, C., & Guan, J. (2022) · Journal of China Tourism Research · doi:10.1080/19388160.2022.2064381 · Cited by 26
“PU and PEOU are significant mediating variables (Abdullah & Ward, 2016), and both affect intentions to use technological innovations (Tom Dieck et al., 2017), such as TA.”
BackgroundNurse-Clarke, N. J., & Joseph, M. (2022) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2022.04.002 · Cited by 22
“…in 1989, the TAM has been widely used and noted for its applicability to a vast array of disciplines including business, education, and health care (Abdullah & Ward, 2016; Jokar, Noorhosseini, Alla-hyari, & Damalas, 2017; Pando-Garcia, Peria ˜ nez-Ca ˜ nadillas, & Char-terina, 2016; Scherer,…”
Sulaiman, T. T., Mahomed, A. S. B., Rahman, A. B. A., & Hassan, M. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09687 · Cited by 22
“TAM is the furthermost standard ground theory [29].”
BackgroundClinical virtual simulation: predictors of user acceptance in nursing education
Padilha, J. M., Costa, P., Sousa, P., & Ferreira, A. C. E. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05154-2 · Cited by 26
Fabito, B. S. (2017) · International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT) · doi:10.1109/icsiit.2017.25 · Cited by 22
“Certain external variables are created to find out external factors that influence user’s perceptions regarding the ease of use (Perceived Ease of Use / PEOU) and perceived usefulness (PU) [12].”
BackgroundSurvey data on the impact of COVID-19 on parental engagement across 23 countries
Osorio-Saez, E. M., Eryılmaz, N., Sandoval-Hernández, A., Lau, Y., Barahona, E., Bhatti, A. A., Ofoe, G. C., Ordóñez, L. A. C., Ochoa, A. A. C., Pizarro, R. Á. E., et al. (2021) · Data in Brief · doi:10.1016/j.dib.2021.106813 · Cited by 22
Mir, F. A. (2025) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2025.04.015 · Cited by 23
Setyohadi, D. B., Aristian, M., Sinaga, B. L., & Hamid, N. A. A. (2017) · Asian Journal of Scientific Research · doi:10.3923/ajsr.2017.271.280 · Cited by 21
Technology Acceptance Model (TAM) and E-Learning System Use for Education Sustainability
Almulla, M. (2021) · Academy of strategic management journal/Academy of Strategic Management journal · Cited by 21
Cheng, M., Tao, D., Xie, S., Cao, X., & Yuen, A. H. K. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107374 · Cited by 21
Zoom classrooms and adoption behavior among Cambodian students
Ly, B., Ly, R., & Hor, S. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100266 · Cited by 22
Alyoussef, I. Y., & Alhassan, O. M. (2023) · Sustainability · doi:10.3390/su151914617 · Cited by 40
Teaching accounting in the era of ChatGPT – The student perspective
Sundkvist, C. H., & Kulset, E. M. (2024) · Journal of Accounting Education · doi:10.1016/j.jaccedu.2024.100932 · Cited by 62
Knowledge management and e-learning in virtual learning community based on social network analysis
Deng, Y., Sun, W., Chen, M., & Yang, Y. (2019) · Library Hi Tech · doi:10.1108/lht-11-2018-0170 · Cited by 21
Samra, R. K., Nirola, A., Verma, A., Nagpal, A., & Thakur, M. (2021) · Indian Journal of Dental Sciences · doi:10.4103/ijds.ijds_14_21 · Cited by 21
Visualizing Co-citations of Technology Acceptance Models in Education
Yu, Z. (2019) · Journal of Information Technology Research · doi:10.4018/jitr.2020010106 · Cited by 20
Adoption of E-Learning During the COVID-19 Pandemic
Acharjya, B., & Das, S. (2021) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/ijwltt.20220301.oa4 · Cited by 22
“Abdullah and Ward (2016) found that 59% of students expressed about the negative effect of CA on the e-learning context.”
BackgroundTsai, C.-C., Chung, C.-C., Cheng, Y.-M., & Lou, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.965926 · Cited by 31
Shen, Y., Huang, L., & Wu, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1059858 · Cited by 21
Jiang, Y., Zeng, K., & Yang, R. (2023) · Journal of Clinical Nursing · doi:10.1111/jocn.16631 · Cited by 22
Doo, M. Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11878-3 · Cited by 21
“Abdullah and Ward (2016) also conducted a systematic review of 107 papers on technology acceptance of e-learning and examined the effects of five external factors related to perceived ease of use and perceived usefulness: (1) social influence/subjective norm, (2) self-efficacy, (3) enjoyment, (4) experience, and (5) c…”
BackgroundResultInfluentialAldraiweesh, A., & Alturki, U. (2023) · Sustainability · doi:10.3390/su15129363 · Cited by 20
“Several empirical studies have revealed that PU is the primary consideration when determining whether to employ a specific technology or not [69].”
Sara, G., Todde, G., Pinna, D., & Caria, M. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109252 · Cited by 25
Li, R., Huang, Q., Chen, X. S., Zheng, B., & Liu, H. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1585475 · Cited by 20
“Prior studies suggest that IT adoption intention can be determined by intrinsic motivation (i.e. perceived enjoyment), which is true for both hedonic-oriented (e.g. online games) and utilitarian-oriented (e.g. e-learning e-learning) systems (Liu and Li 2011; Abdullah and Ward 2016).”
BackgroundDeterminants of digital learning acceptance behavior
Kaushik, M. K., & Verma, D. (2019) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-06-2018-0105 · Cited by 20
Teaching Sentiment in Emergency Online Learning—A Conceptual Model
Martinho, D., Sobreiro, P., & Vardasca, R. (2021) · Education Sciences · doi:10.3390/educsci11020053 · Cited by 22
“As mentioned by Abdullah and Ward [27], experience plays an important role in the adoption of online education and can be defined as “the amount and type of computer skills acquired by a person over time” [27] (p. 34).”
BackgroundFactors Influencing Smartphone Adoption: A Study in the Indian Bottom of the Pyramid Context
Baishya, K., & Samalia, H. V. (2019) · Global Business Review · doi:10.1177/0972150919856961 · Cited by 20
“Abdullah and Ward (2016) reviewed the literature on e-learning adoption and found that 59 per cent of the studies established the negative impact of ‘anxiety’ on ‘perceived ease of use’.”
BackgroundBaradaran, V., & Ghorbani, E. (2020) · International Journal of Fuzzy Systems · doi:10.1007/s40815-020-00901-1 · Cited by 19
Thuy, D. T. T. (2021) · Journal of Asian Finance Economics and Business · doi:10.13106/jafeb.2021.vol8.no10.0385 · Cited by 24
Teaching computational thinking in Mexico: A case study in a public elementary school
Ríos-Félix, J. M., Cabada, R. Z., & Estrada, M. L. B. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10213-4 · Cited by 20
“The results confirm what we found in the TAM evaluation.”
MethodInfluentialKonca, A. S., Simsar, A., Alhajji, R., & Almansoori, A. G. A. M. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2488143 · Cited by 20
“Perceived usefulness, on the other hand, reflects the degree to which individuals believe that using a particular technology will enhance their job performance or learning outcomes (Abdullah & Ward, 2016).”
InfluentialUtilitarian and experiential aspects in acceptance models for learning technology
Dimitrijević, S., & Devedžić, V. (2021) · Educational Technology Research and Development · doi:10.1007/s11423-021-09970-x · Cited by 26
Alrousan, M. K., Al-Madadha, A., Khasawneh, M. H. A., & Tweissi, A. (2021) · Interactive Technology and Smart Education · doi:10.1108/itse-09-2020-0211 · Cited by 19
The impact of COVID19 on advanced practice nursing education and practice: A qualitative study
Woo, B., Poon, S. N., Tam, W., & Zhou, W. (2021) · International Nursing Review · doi:10.1111/inr.12732 · Cited by 18
Distance Education among Italian Teachers: Differences and Experiences
Menabò, L., Skrzypiec, G., Sansavini, A., Brighi, A., & Guarini, A. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11008-5 · Cited by 20
“Behavioural intention is the key factor determining the success of a system (Abdullah & Ward, 2016; Armenteros et al., 2013; Chang et al., 2017) and it is considered the most important predictor of the actual use of technology (Teo, 2011).”
BackgroundBanerjee, A. K., & Pradhan, H. K. (2022) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2022.2132928 · Cited by 25
“Extant studies have reported a signi fi cant association of subjective norms with perceived ease of use and usefulness (Abdullah and Ward 2016).”
Hai, L., Sang, G., Wang, H., Li, W., & Bao, X. (2022) · Behavioral Sciences · doi:10.3390/bs12100403 · Cited by 18
“Self-efficacy was the best predictor of students’ perceived ease of using e-learning systems [35], which is supported by recent studies indicating that perceived self-efficacy had a significant influence on students’ perception of the ease of usage [36,37].”
BackgroundResultReeves, A., Calic, D., & Delfabbro, P. (2023) · Computers & Security · doi:10.1016/j.cose.2023.103137 · Cited by 18
Tyagi, S. K., & Krishankumar, R. (2023) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-02-2023-0022 · Cited by 18
Kim, J. H., Song, W.-K., & Lee, H. C. (2023) · Sustainability · doi:10.3390/su151914129 · Cited by 21
“Through a wide range of empirical studies, numerous researchers have validated the TAM as a robust model for predicting technology acceptance intentions (e.g., [63–67]).”
BackgroundAldreabi, H., Halalsheh, N. Z., Alrawashdeh, M. N., Alnajdawi, A. M., Alsawalqa, R. O., & Al-Shboul, M. A. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1226718 · Cited by 18
Students’ intentions to use PBWorks: a factor-based PLS-SEM approach
Cheng, E. W. L., Chu, S. K. W., & Ma, C. S. M. (2019) · Information and Learning Sciences · doi:10.1108/ils-05-2018-0043 · Cited by 18
Francescucci, A., Kellershohn, J., & Pyle, M. A. (2020) · Organizational Behavior Teaching Review · doi:10.1177/1052562920960205 · Cited by 18
“Within the context of education, perceived ease of use of technology is key (Abdullah & Ward, 2016).”
BackgroundAlduraywish, Y. A., Patsavellas, J., & Salonitis, K. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10621-0 · Cited by 18
“The characteristics of the learners and the academics, specifically their technical abilities in understanding basic and complex IT systems are often expected to be higher than within other learning institutions (Abdullah & Ward, 2016).”
BackgroundSense of belonging and grit in e-learning portal usage in higher education
Devisakti, A., & Ramayah, T. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1983611 · Cited by 18
“In addition, most of the studies in Malaysia concentrated on technology and cognitive aspects of learners in e-learning portal (Lee et al., 2019; Abdullah & Ward, 2016; Raman et al., 2014).”
BackgroundDoo, M. Y. (2021) · Contemporary Educational Technology · doi:10.30935/cedtech/11368 · Cited by 20
“Technology Acceptance Model 2 The technology acceptance model (TAM) (1989) has been used to explain adoption of innovation or new technologies in various realms including in education (Abdullah & Ward, 2016; Agudo-Peregrina et al., 2014; Chen Hsieh et al., 2017; Park et al., 2012).”
Li, Z., & Liu, Y. (2023) · Sustainability · doi:10.3390/su15032119 · Cited by 17
AL-Sayid, F., & Kirkil, G. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11635-6 · Cited by 17
“This means that the model presented in this study showed a higher effect size of the predictors compared to Abdullah and Ward (2016) study, which showed the rate of this effect in several studies during the past ten years. Therefore, this study, after using the nonlinear analysis, contributed to better predicting the…”
BackgroundResultInfluentialMa, Y. (2025) · European Journal of Education · doi:10.1111/ejed.12923 · Cited by 23
Gao, M., Zhang, H., Dong, Y., & Li, J. (2025) · Educational Studies · doi:10.1080/03055698.2025.2483831 · Cited by 22
“…exhibited greater perceived usefulness, a more favourable attitude, and a stronger intention to utilise generative AI, echoing the sentiments of Abdullah and Ward (2016) and Abramson, Dawson, and Stevens (2015), who highlighted the role of experience in fostering positive attitudes towards…”
Realidad aumentada en la enseñanza de hormigón reforzado: percepción de los alumnos
Mello, G. N. D. A., & Almenara, J. C. (2019) · Alteridad · doi:10.17163/alt.v15n1.2020.01 · Cited by 17
“El modelo de aceptación de tecnología (Technology Acceptation Model-TAM) fue adaptado de la teoría de la acción razonada (Theory of Reasoned Action-TRA) por Davis en 1986 (Abdullah & Ward, 2016) para explicar el comportamiento de una persona para la adopción de tecnología (Davis, 1989).”
BackgroundEvaluating the effects and outcome of technological innovation on a web-based e-learning system
Obeng, A. Y., & Coleman, A. (2020) · Cogent Education · doi:10.1080/2331186x.2020.1836729 · Cited by 17
“Benefits was added as a factor that determines the outcome of using electronic learning systems (Abdullah & Ward, 2016; Seddon, 1997).”
BackgroundDolenc, K., Šorgo, A., & Virtič, M. P. (2021) · European Journal of Educational Research · doi:10.12973/eu-jer.11.1.163 · Cited by 22
“…the trap of omitting an important factor in the SEM models (Kline, 2015), we reviewed the constructs used in previous studies of distance e-learning (e.g., Bhuasiri et al., 2012; Park, 2009; Šumak et al., 2010; Sun et al., 2008) and in reviews (Abdullah & Ward, 2016; Cheawjindakarn et al., 2012).”
BackgroundMethodInfluentialYıldız, G., Şahin, F., Doğan, E., & Okur, M. R. (2022) · British Journal of Educational Technology · doi:10.1111/bjet.13235 · Cited by 21
The Investigation of E-Learning System Design Quality on Usage Intention
Chiang, C., Boakye, K. G., & Tang, X. B. (2017) · Journal of Computer Information Systems · doi:10.1080/08874417.2017.1342176 · Cited by 19
“As mentioned, existing findings show that a few systems performing capabilities were studied affect user ’ s perception and attitude by using TAM (see [1]).”
BackgroundAlkhawaja, L. A., Idris, M., Al-Sayyed, S. W., & Jaber, A. M. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1691148 · Cited by 16
Learners’ Continuous Use Intention of Blended Learning: TAM-SET Model
Chen, X., Xu, X., Wu, Y. J., & Pok, W. F. (2022) · Sustainability · doi:10.3390/su142416428 · Cited by 16
Video demonstrations can predict the intention to use digital learning technologies
Sprenger, D. A., & Schwaninger, A. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13298 · Cited by 20
Suliman, M. A. E., Zhang, W., & Sleiman, K. A. A. (2023) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2239203 · Cited by 16
“It was a good idea to use PLS-SEM as a statistical tool in this study because it allows for simultaneous analysis, which makes it easier to get more accurate results (Abdullah & Ward, 2016; Alrajawy et al., 2017; Ramayah et al., 2017).”
Fu-hai, A., & Guo, J. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12193-7 · Cited by 23
“According to international standard values, the AVE value usually needs to be more than 0.500, which suggests sufficient convergence validity (Escobar-Rodriguez & Monge-Lozano, 2012).”
InfluentialAL-Sayid, F., & Kirkil, G. (2025) · IEEE Access · doi:10.1109/access.2025.3534740 · Cited by 21
Guerrero, F. N. T. (2019) · Ciencia Unemi · doi:10.29076/issn.2528-7737vol12iss29.2019pp63-76p · Cited by 16
Babovič, M., Fu, R.-H., & Monrouxe, L. V. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-029173 · Cited by 16
“Theories of technology adaptation explain how perceptions of e-portfolio correlate to behavioural changes of e-portfolio usage ,34–36 for example, the possibility of motivational mechanisms (such as self-efficacy, subjective norms, level of e-learning enjoyment, experiences and computer anxiety)…”
BackgroundDoo, M. Y., & Bonk, C. J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633121989128 · Cited by 17
“While there are several modified or extended versions of the TAM, such as TAM3 by Venkatesh and Bala (2008) or the general Extended Technology Acceptance Model for E-Learning (GETAMEL) by Abdullah and Ward (2016), we chose TAM2 because it best fits with our research purpose.”
BackgroundMethodCui, Y. (2021) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2021.11.11.1561 · Cited by 21
Marandu, E. E., Makudza, F., & Ngwenya, S. N. (2019) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.18.6.7 · Cited by 16
Impact of the COVID-19 Pandemic on the Acceptance and Use of an E-Learning Platform
Kipp, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111372 · Cited by 15
“Abdullah, F.; Ward, R. Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors.”
BackgroundMayr, A., & Oppl, S. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11282-3 · Cited by 15
“…design or design of learning material (Ain et al., 2016; Almaiah & Alyoussef, 2019; Lee et al., 2009; Mahande & Malago, 2019), computer anxiety (Abdullah & Ward, 2016; Chen & Tseng, 2012), computer self-efficacy (Abdullah & Ward, 2016; Chen & Tseng, 2012) and in analogy to the findings of…”
ResultThe effect of touch simulation in virtual reality shopping
Lee, H. K., Yoon, N., & Choi, D. (2022) · Fashion and Textiles · doi:10.1186/s40691-022-00312-w · Cited by 15
“Specifically, Abdullah and Ward (2016) conducted a meta-analysis where a utilitarian path through self-efficacy and an experiential path through enjoyment and experience to e-learning adaptation (i.e., learning through computer network technology, such as the Internet) were high-lighted.”
BackgroundSaqib, G., Hassan, M. U., Zubair, M. U., & Choudhry, R. M. (2023) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-12583 · Cited by 14
Almusharraf, A. M., & Bailey, D. (2023) · Computer Assisted Language Learning · doi:10.1080/09588221.2023.2275141 · Cited by 19
“This importance is substantiated by numerous studies that underline the TAM’s broad applicability across a range of technologies and user groups (Abdullah & Ward, 2016; Granic & Marangunic, 2019; Venkatesh et al., 2003).”
InfluentialRosli, M. S., & Saleh, N. S. (2024) · SN Computer Science · doi:10.1007/s42979-024-03015-9 · Cited by 20
“The effect of Attitudes Toward Using (AT) as a mediator is inconsistent with previous research [28, 91].”
Mitiku, A. B., Tsehay, A. K., Sitotaw, G., Guadie, H. A., Wogayehu, B., Ayenew, T., & Walle, A. D. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05834-z · Cited by 15
“According to a study performed at the University of Hud-dersfield (UK), perceived ease of use significantly affects perceived usefulness and attitude, but it does not significantly affect the intention to use an e-learning system [19].”
BackgroundInfluentialFactors Influencing Seniors’ Anxiety in Using ICT
Reid, M., Aleti, T., Figueiredo, B., Sheahan, J., Hjorth, L., Martin, D. M., & Buschgens, M. (2024) · Social Sciences · doi:10.3390/socsci13090496 · Cited by 18
E-commerce among grain traders and its impact on marketing
Kabo-Bah, J. B. W., & Bannor, R. K. (2024) · Sustainable Technology and Entrepreneurship · doi:10.1016/j.stae.2024.100090 · Cited by 21
Sofwan, M., Pratama, R., Muhaimin, M., Yusnaidar, Y., Mukminin, A., & Habibi, A. (2021) · Qwerty · doi:10.30557/qw000035 · Cited by 15
“It can be concluded that being compared with TIA; OIC is more significant predicting Indonesian pre-service teachers’ IT-ICT as reported by previous studies (Abdullah & Ward, 2016; Chou et al., 2018; Hornstra et al., 2015; Lau & Yuen, 2014).”
Tobias-Mamina, R. J., Maziriri, E. T., & Kempen, E. L. (2021) · Cogent Business & Management · doi:10.1080/23311975.2021.1969766 · Cited by 15
“Several studies have validated the relevance of the external factors in the Technology Acceptance Model in determining technology adoption (e.g., Abdullah & Ward, 2016; Weerasinghe & Hindagolla, 2018).”
BackgroundProdanova, J., Gutiérrez, S. S. M., & Sánchez-Beato, E. J. (2021) · Digital Education Review · doi:10.1344/der.2021.40.33-50 · Cited by 15
“Defined "as a tool that uses computer network technology such as internet, intranets and extranets to deliver learning instructions to users" (Abdullah and Ward 2016, 238), e-learning systems combine instructional materials in different media forms, such as audio, video and text, which are made…”
MethodMatarirano, O., Yeboah, A., & Gqokonqana, O. (2021) · International Journal of Higher Education · doi:10.5430/ijhe.v10n6p135 · Cited by 15
University students with special needs: Investigating factors influencing e-learning adoption
Şahin, F., Doğan, E., Yıldız, G., & Okur, M. R. (2022) · Australasian Journal of Educational Technology · doi:10.14742/ajet.7454 · Cited by 21
“In terms of TAM, SE has significant effects on the core constructs of acceptance (Abdullah & Ward, 2016).”
BackgroundMethodResultInfluentialAlkhalifah, E. S., Hammady, R., Abdelrahman, M., al-Shamaileh, O., Marghany, M., El-Jarn, H., Darwish, A., & Kurt, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3562383 · Cited by 14
“Much of the previous research has examined PENJ in computer gaming [106], information systems and e-learning [107], online shopping and instant messaging services [108], and travelling [109].”
Menjura, O. A. M., Castro, L., Vera, E., Rodríguez, J., & Escalante, H. (2021) · Water · doi:10.3390/w13182566 · Cited by 14
“According to a systematic literature review of TAM studies, perceived self-efficacy is the first most commonly used external construct [57].”
BackgroundFactors affecting students’ online courses learning behaviors
Huang, T. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11882-7 · Cited by 14
“The meta-analysis of Abdullah et al. (2016) on factors affecting the adoption of online learning noted that SE is a key external factor in the TAM model.”
BackgroundMy Health Advisor is a Robot: Understanding Intentions to Adopt a Robotic Health Advisor
Kim, J., Merrill, K., Xu, K., & Collins, C. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2239559 · Cited by 17
“According to Abdullah and Ward (2016), perceived ease of use directly affects the perceived usefulness of a technology.”
Evaluating science teachers’ flipped learning readiness: a GETAMEL approach test
Ateş, H., Garzón, J., & Λαμπρόπουλος, Γ. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2255232 · Cited by 17
“Five exter-nal factors, namely subjective norms, experience, perceived enjoyment, anxiety, and self-e ffi cacy are the most common external factors in fl uencing perceived usefulness and perceived ease of use in the e-learning contest (Abdullah & Ward, 2016a; Hanif et al., 2018).”
InfluentialAsif, M., & Fazel, H. (2024) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-12-2023-0482 · Cited by 14
Ronaghi, M. H., & Ronaghi, M. (2025) · Asian Education and Development Studies · doi:10.1108/aeds-08-2024-0182 · Cited by 14
Li, Y. (2018) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/91730 · Cited by 14
RetractedRodríguez-Cardoso, Ó. I., Ballesteros, V. B., & Forero, S. L. (2019) · Pensamiento y Acción · doi:10.19053/01201190.n28.2020.11192 · Cited by 14
Nutsugbodo, R. Y., Mensah, C., Amissah, E. F., & Baah, N. G. (2022) · Journal of Hospitality & Tourism Education · doi:10.1080/10963758.2022.2056468 · Cited by 17
“Its conceptualization bothers on being anxious, fearful, and apprehensive when using, or considering using computer technologies (Abdullah & Ward, 2016; Zheng & Li, 2020).”
MethodChoi, H., & Tak, S. H. (2022) · Nurse Education in Practice · doi:10.1016/j.nepr.2022.103492 · Cited by 14
Metadata
- Authors
- Abdullah, F., & Ward, R.
- Affiliations
- University of Huddersfield (GB)
- Corresponding author
- Abdullah, Fazil
- ORCID
- Ward, Rupert
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 56
- Pages
- 238-256
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2214098284
- Cited by
- 986
- References
- 146
- Citations by year
- 2026: 67 · 2025: 88 · 2024: 113 · 2023: 155 · 2022: 157 · 2021: 163 · 2020: 96 · 2019: 76 · 2018: 39 · 2017: 22 · 2016: 10
- FWCI
- 46.53
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.hud.ac.uk
- Locations
- Computers in Human Behavior (publishedVersion)
- University of Huddersfield Repository (University of Huddersfield) (submittedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- technology acceptance model, e-learning adoption, extended technology acceptance model, self-efficacy, subjective norms, enjoyment, computer anxiety, user experience, perceived ease of use, perceived usefulness, external factors, student acceptance of technology
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