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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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Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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- Bhatiasevi, 2011, Acceptance of e-learning for users in higher education: an extension of the technology acceptance model, The Social Sciences, 6, 513
- Hsu, 2013, Vol. 3(4), 211
- Lin, 2010, Understanding college students' continuing intentions to use multimedia e-learning systems, World Transactions on Engineering and Technology Education, 8, 488
- Shen, 2010, Exploring users' attitudes and intentions toward the interactive whiteboard technology environment, International Review on Computers and Software, 5, 200
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Items 501–600 of 981
Güzel, A., & ELKIRAN, Y. M. (2021) · RumeliDE Dil ve Edebiyat Araştırmaları Dergisi :/RumeliDe Dil ve Edebiyat Araştırmaları Dergisi · doi:10.29000/rumelide.996583 · Cited by 8
Almulla, M. A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.915087 · Cited by 8
“According to the study, integrating tools and technology enables motivated learning and collaborative observations (Abdullah and Ward, 2016; Pinto-Llorente et al., 2017; Rezaei et al., 2018).”
Background“Visibility and Training in Open Source Software Adoption: A Case in Philippine Higher Education”
(2018) · International Workshop on Computer Science and Engineering (WCSE) · doi:10.18178/wcse.2018.06.065 · Cited by 8
Factors Affecting the Academic Performance through Cloud Computing Adoption
Raza, S. A., Khan, K. A., Rafi, S. M. T., & Javaid, S. T. (2020) · Journal of Education & Social Sciences · doi:10.20547/jess0822008201 · Cited by 8
“Cloud computing services provides opportunity to students to save their materials so that they can access them easily from anywhere at any time and can share with one another for knowledge creation and to enhance their academic performance (Abdullah & Ward, 2016).”
BackgroundExtended Technological Acceptance Model for Evaluating E-Learning: The African Context (ETAM-4EEA)
(2018) · doi:10.17758/eares4.eap1118444 · Cited by 8
“To overcome TAM’s limitations and implement [30] recommendation, [7] proposed a General Extended Technology Acceptance Model for e-Learning (GETAMEL) based on the commonly used external factors of TAM.”
BackgroundMethodInfluentialLim, C.-W., Liew, K. Y., Lim, S.-H., Cheema, M., Sulaiman, P. S., Harith, H., Saidi, H. I., & Tham, C. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00472-3 · Cited by 10
“Among the commonly external variables used as constructs in TAM, PENJ was the best predictor for PU based on an extensive meta-analysis by Abdullah and Ward (2016).”
BackgroundMethodInfluentialElfeky, A. I. M., Najmi, A. H., & Elbyaly, M. Y. H. (2024) · El Profesional de la Informacion · doi:10.3145/epi.2024.0016 · Cited by 7
Luo, J., Sun, M., Cao, J., & Li, H. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13780-6 · Cited by 7
“It is suggested that external opinions from peers, senior teachers, educational leaders and even broader society can shape individual decision-making, thereby influencing whether a person chooses to adopt a particular technology or platform (Abdullah & Ward, 2016).”
InfluentialSubiyakto, A., Erlina, N., Sugiarti, Y., Hakiem, N., Irfan, M., & Ahlan, A. R. (2021) · AIP conference proceedings · doi:10.1063/5.0041678 · Cited by 16
WHEN TECHNOLOGY-BASED LEARNING IS THE ONLY OPTION: EVALUATING PERCEIVED USEFULNESS OF SOCIAL MEDIA
Hanif, A., & IMRAN, M. (2022) · Turkish Online Journal of Distance Education · doi:10.17718/tojde.1096252 · Cited by 7
“The effect of SN on e-learning acceptance has been established in this research and significant positive relationship has been found which is in agreement with previous studies done on the two constructs (Abdullah & Ward, 2016; Park, 2009; Choi & Chung, 2013; Hanif, Qaisar & Imran, 2018).”
BackgroundResultAbu-Taieh, E. M. O., Alhadid, I. H., Alkhawaldeh, R. S., Khwaldeh, S. M., Masa’deh, R. M. T., Alrowwad, A., & Al-Eidie, R. (2022) · Sustainability · doi:10.3390/su142013432 · Cited by 7
“[60] defined self-efficacy as: “In context of computer usage, Computer Self-Efficacy (CSE) is defined as one’s belief about his/her ability to accomplish a particular task using a computer” (p. 238).”
A Personalized Approach to Learning Across Time and Space
Fitzgerald, R., Rossiter, E., & Thompson, T. (2022) · European Conference on e-Learning · doi:10.34190/ecel.21.1.901 · Cited by 7
Handwerkliches Lackieren mit Virtual Reality (HandLeVR)
Mulders, M., Weise, M., Schmitz, A., Zender, R., Kerres, M., & Lucke, U. (2023) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/51/2023.01.19.x · Cited by 8
“(Abdullah und Ward 2016; Bertrand und Bouchard 2008), was im Falle der VR-Lackierwerkstatt eher als unwahrscheinlich einzuschätzen ist.”
BackgroundUse of mobile apps when purchasing apparel: A young male adult perspective
Correia, M., Cunningham, N., & Roberts-Lombard, M. (2023) · South African journal of information management · doi:10.4102/sajim.v25i1.1745 · Cited by 7
“…external variables included in the TAM allowed for the customisation of the TAM within specific contexts, given that there are various external variables in different contexts that can impact the perceived usefulness or the perceived ease of use of a certain technology (Abdullah & Ward 2016:240).”
BackgroundAteş, H., & GÜNDÜZALP, C. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13480-1 · Cited by 12
“Consistent with the TAM and GETAMEL framework (Abdullah et al., 2016), Subjective Norms were found to positively influence both Perceived Usefulness and Perceived Ease of Use (H1, H2), highlighting the critical role of social influence.”
InfluentialNew Discoveries for User Acceptance of E-Learning Analytics Recommender Systems in Saudi Arabia
Alharbi, H. F., & Sandhu, K. (2018) · International Journal of Innovation in the Digital Economy · doi:10.4018/ijide.2019010103 · Cited by 7
The Impact of Augmented Reality on E-learning Systems in Saudi Arabia Universities
Alsayyar, A., & Almakki, R. S. (2021) · Computer and Information Science · doi:10.5539/cis.v14n2p50 · Cited by 7
“In the present day, online destinations, for example, YouTube are conveyed by student and educator (Abdullah & Ward, 2016).”
BackgroundInfluentialSubiyakto, A., Erlina, N., Sugiarti, Y., Hakiem, N., Irfan, M., & Ahlan, A. R. (2021) · The International Islamic University Malaysia Repository (The International Islamic University Malaysia) · Cited by 7
Learning Management System: An Innovation in Teaching Learning Process at University Level
Nadeem, A., Malik, N., & Noreen, S. (2021) · Journal of Entrepreneurship Management and Innovation · doi:10.52633/jemi.v3i2.106 · Cited by 7
Sönmez, F., Aydin, U., & Perdahçı, Z. N. (2022) · Journal of Information Science · doi:10.1177/01655515221094436 · Cited by 7
“In the study by Abdullah and Ward [48], it is argued that out of the 107 studies analysed in their paper, 41 studies have investigated the relationship between PEU and SE of e-learning, 33 (80”
BackgroundOnline Formative Assessment and Feedback: A Focus Group Discussion Among Language Teachers
Hysaj, A., & Haroon, H. A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05064-0_9 · Cited by 7
What drives university students to practice social distancing? Evidence from South Korea and Vietnam
Jo, H. (2022) · Asia Pacific Viewpoint · doi:10.1111/apv.12351 · Cited by 7
Effectiveness of Online Learning at Universities: Do Sociocultural Differences Matter?
Nuryatin, A., Mukhibad, H., & Tusyanah, T. (2022) · European Journal of Educational Research · doi:10.12973/eu-jer.11.4.2153 · Cited by 7
Barfi, K. A., Imoro, O., Arkorful, V., & Armah, J. K. (2023) · Information Development · doi:10.1177/02666669221150426 · Cited by 7
“While Sasso (2016) and Lederman (2018) ascribed low patronise of e-library services to student awareness, Abdullah and Ward (2016) and Alphonce and Mwantimwa (2019) indicated that students do not have suf fi cient information skills and technical skills to use the e-library services.”
Robotic Process Automation with Ontology-enabled Skill-based Robot Task Model and Notation (RTMN)
Sprenger, C. Z., & Ribeaud, T. (2022) · International Conference on Robotics, Automation and Artificial Intelligence (RAAI) · doi:10.1109/raai56146.2022.10092996 · Cited by 7
“However, Blockly is not suitable for complex programs and expressions as understanding these subroutines is difficult for non-programmers [9].”
BackgroundTamba, G. I., & Iancu, I. R. (2023) · Research in Social Sciences and Technology · doi:10.46303/ressat.2023.3 · Cited by 7
Student Adoption of E-Learning in Higher Education Institutions in Saudi Arabia
Hasan, A., Habib, S., Khan, M. A., & Hamadneh, N. N. (2023) · International Journal of Information and Communication Technology Education · doi:10.4018/ijicte.322792 · Cited by 14
Sabiote, C. R., Valerio-Peña, A. T., & Batista-Almonte, R. A. (2023) · Pixel-Bit Revista de Medios y Educación · doi:10.12795/pixelbit.100352 · Cited by 7
Arif, T. Z. Z. A., Kurniawan, D., Handayani, R., Hidayati, H., & Armiwati, A. (2024) · The Electronic Journal of e-Learning · doi:10.34190/ejel.22.1.3063 · Cited by 11
“These studies defined or examined technology acceptance as a behavioral intention, attitude, and/or utilization (Abdullah and Ward, 2016).”
BackgroundPerera, K. G. D. K., Wijayanayake, J. I., & Prasadika, J. (2024) · International Conference on Advanced Research in Computing (ICARC) · doi:10.1109/icarc61713.2024.10499744 · Cited by 9
“Additional research has revealed that both factors are influenced by external factors[47].”
BackgroundBinyamin, S. S., Rutter, M. J., Smith, S., & Alshehri, A. (2019) · EDULEARN proceedings · doi:10.21125/edulearn.2019.2695 · Cited by 7
“2 TECHNOLOGY ACCEPTANCE MODEL Despite the variety of existing technology models, TAM is the predominant theory in explaining users’ acceptance and utilisation of technologies [24] and has been used in many e-learning studies [25, 26, 27, 28, 29, 30, 31].”
BackgroundMethodNjele, C. C., & Phiri, J. (2021) · International Journal of Business and Management · doi:10.5539/ijbm.v16n7p104 · Cited by 7
“, 2009; Abdullah et al., 2016; Isaac, et al., 2018; Okcu, et al., 2019; Kalinic, et al., 2019). Considering the mobile-money business's performance and the various determinants acquired from literature, it will be prudent to examine some key factors empirically. 3.2 Conceptual Framework The study develops a model for…”
MethodInfluentialShariq, M., Lutfy, K., Alahdal, A., & Aldhali, F. I. A. (2022) · Sustainability · doi:10.3390/su14106063 · Cited by 7
Language Teachers’ Perception and Practice of Adopting Blended Learning to Adapt to the New Normal
Cao, T. X. L. (2022) · AsiaCALL Online Journal · doi:10.54855/acoj.221353 · Cited by 7
“The questionnaire consisted of 10 Likert-scale items, which were purposefully designed based on a number of TAM variables (Davis, 1989; Venkatesh et al., 2003; Abdullah & Ward, 2016) to collect information about how teachers perceived blended learning.”
BackgroundSui, C., Yen, M.-H., & Chang, C. (2023) · doi:10.35542/osf.io/hda78 · Cited by 7
Mutua, M., & Nyoni, C. N. (2023) · BMC Nursing · doi:10.1186/s12912-023-01235-7 · Cited by 6
“However, criticism has been directed towards the application of these models and attempts to expand these models leading to theoretical challenges and confusion [58].”
BackgroundWang, M., Zhang, K., & Xu, H. (2024) · Public Understanding of Science · doi:10.1177/09636625241300894 · Cited by 6
“Given the body of research that supports UTAUT as an effective model for explaining and predicting user acceptance of new technologies (Abdullah and Ward, 2016; Ozkan and Kanat, 2011), this study employs UTAUT to analyze the public acceptance of FRT applications in law enforcement.”
Şahin, F. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13430-x · Cited by 6
“However, the selection of these influential factors demands careful consideration (Abdullah & Ward, 2016; Şahin et al., 2024a).”
Nahar, S. (2022) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2022.842670 · Cited by 9
Zhang, X., & Zhou, M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12106-8 · Cited by 6
“Specifically, this study sought to address two research questions: 1 3 Education and Information Technologies (2024) 29:6991–7026 (1) Based on the extended TAM, what factors affected university students’ intention to use mobile apps for IC development?”
InfluentialMei, Y., Liu, J., Lu, J. X., Wu, H. S., & Lv, J. (2023) · Buildings · doi:10.3390/buildings13102419 · Cited by 6
Li, H., & Ni, A. (2024) · Behavioral Sciences · doi:10.3390/bs14040271 · Cited by 6
“Internal factors refer to the learner-related aspects that represent the individual characteristics and inner motivational states of e-learners, which influence their perceived values and experiences in e-learning, as well as their satisfaction and learning outcomes [3].”
BackgroundMethodResultHan, F. (2024) · Australasian Journal of Educational Technology · doi:10.14742/ajet.8814 · Cited by 6
“Corroborated with previous studies (Abdullah et al., 2016; Chang et al., 2017), we also found a significant and positive path from PEOU to BI, demonstrating the importance of the user-friendly design and features of e-learning technologies in users’ accept ance and adoption.”
BackgroundMethodResultInfluentialAn fsQCA approach to identifying pathways to K-9 students’ online learning engagement
Ma, Y., Zuo, M., Yan, Y., Luo, H., & Wang, K. (2024) · Distance Education · doi:10.1080/01587919.2024.2338704 · Cited by 7
“…of use and perceived usefulness of learning technologies, which have been shown to be antecedent factors of acceptance of learning with technology (abdullah & Ward, 2016; Granić & Marangunić, 2019; Venkatesh et al., 2012). the effects of perceived ease of use and usefulness on student engagement…”
Artificial Intelligence Adoption Among Accountants: Empirical Study in Austria
Grünbichler, R., Wijaya, L., Cheng, K. M., Greimel, K., Anita, T. L., & Samuel, S. (2024) · International Conference on Information Management and Technology (ICIMTech) · doi:10.1109/icimtech63123.2024.10780935 · Cited by 6
“This variable originated from the idea that people are influenced by others [22].”
Zhang, L., Gao, J., Zhao, L., Liu, Z., & Guan, A. (2025) · Applied Sciences · doi:10.3390/app15073884 · Cited by 9
Sleeping with the Enemy: Does Depletion Cause Fatigue with Cybersecurity?
Reeves, A., Calic, D., & Delfabbro, P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50309-3_15 · Cited by 6
Effectiveness of English for Tourism E-Learning during the Covid-19 Pandemic
Ritonga, A. K. (2022) · Journal of Education Technology · doi:10.23887/jet.v6i1.42312 · Cited by 6
“The demand for mastery of technology and information absolutely must be carried out by both educators and students (Abdullah & Ward, 2016; Cattaneo et al., 2022).”
BackgroundExploring students’ literacy of information technology in higher education: Platforms and usage
Arifin, Z., & Setiawan, B. (2022) · Cypriot Journal of Educational Sciences · doi:10.18844/cjes.v17i3.6877 · Cited by 6
“The redesigned professional teacher education is in line with the benefits by incorporating the use of technology in the instructional process which has direction to change the nature of socialising, purchasing, communication, entertainment and learning (Abdullah & Ward, 2016).”
BackgroundSuriyapaiboonwattan, K., & HONE, K. S. (2023) · International Conference on Educational and Information Technology · doi:10.1109/iceit57125.2023.10107853 · Cited by 6
“Moreover, there is empirical evidence from researchers found that Social influence can be predictive of performance expectancy [30, 43, 44].”
BackgroundInan, D. I., Hidayanto, A. N., Juita, R., Hasian, C. Y., Luvian, K., Leonardo, L., Ian, S. L., & Pratama, S. (2023) · Research and Practice in Technology Enhanced Learning · doi:10.58459/rptel.2024.19003 · Cited by 6
Fostering Digital Sustainability in Higher Education Through e-Learning Concepts
Khoyratty, B., & Devi, B. N. (2023) · Approaches to global sustainability, markets, and governance · doi:10.1007/978-981-99-2456-1_1 · Cited by 7
Dewi, E. A. S., Sanofi, Z., Pratamawaty, B. B., & Arifin, H. S. (2023) · Jurnal Komunikasi Malaysian Journal of Communication · doi:10.17576/jkmjc-2023-3903-17 · Cited by 9
Habibi, A., Mailizar, M., Yaqin, L. N., Alqahtani, T. M., Abrar, M., Hamuddin, B., & Failasofah, F. (2024) · Journal of Technology and Science Education · doi:10.3926/jotse.2485 · Cited by 6
“The instrument was adapted from previous studies of TAM (Abdullah & Ward, 2016; Agudo-Peregrina, Hernández-García & Pascual-Miguel, 2014; Davis, Bagozzi & Warshaw, 1989; McCord, 2006), supplemented with subjective norms (Schepers & Wetzels, 2007) and perceived enjoyment (Teo & Noyes, 2011).”
MethodGuo, H., Ye, Y., Lin, Y.-C., Khan, A., Chen, S., & Liou, J.-H. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2024.2356721 · Cited by 12
“…learning systems (akour et al., 2021; Kim et al., 2021; Mailizar et al., 2021; ndubisi, 2006). alternatively, sn is referred to as the opinions of peers, teachers, and educational institution policies that persuade students to use e-learning systems (abdullah & Ward, 2016; tarhini et al., 2014).”
IoT for Ubiquitous Learning Applications: Current Trends and Future Prospects
Shapsough, S., & Zualkernan, I. A. (2018) · Studies in big data · doi:10.1007/978-3-030-01566-4_3 · Cited by 6
Ujakpa, M. M., & Heukelman, D. (2021) · Springer eBooks · doi:10.1007/978-3-030-61089-0_15 · Cited by 6
STUDENTS' PERCEPTIONS OF USING E-COMICS AS A MEDIA IN MATHEMATICS LEARNING
Safitri, Y., Mailizar, M., & Johar, R. (2021) · Infinity Journal · doi:10.22460/infinity.v10i2.p319-330 · Cited by 6
“Safitri, Mailizar, & Johar, Students' perceptions of using e-comics as a media … 322 In the acceptance and use of technology, TAM is considered the most popular inquiry model (Abdullah & Ward, 2016).”
BackgroundConceptual Framework of Value in Use and E-learning Success
Bakon, K. A., Elias, N. F., & Jenal, R. (2021) · doi:10.1109/iceei52609.2021.9611152 · Cited by 6
Maita, I., & Majid, S. (2022) · Jurnal Sistim Informasi dan Teknologi · doi:10.37034/jsisfotek.v4i1.120 · Cited by 6
“Dengan persentase sebesar 86% penelitian menggunakan TAM sebagai teori dasar [7].”
BackgroundYu, Z., Xu, W., & Sukjairungwattana, P. (2022) · International Journal of Web-Based Learning and Teaching Technologies · doi:10.4018/ijwltt.305804 · Cited by 6
Social Distancing Impact on Higher Education during COVID-19 Lockdown
Sava, I. N. (2022) · Social Sciences · doi:10.3390/socsci11090419 · Cited by 6
“For instance, commonly used external factors were integrated by Abdullah and Ward (2016) and this resulted in a General Extended Technology Acceptance Model for E-Learning (GETAMEL).”
Factors affecting undergraduate students’ acceptance and use of live instructions for learning
Özen, S. O., & Sümer, M. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2190355 · Cited by 6
“In addition, the literature indicates that related studies have shown that e ff ort expectancy and social in fl uence can a ff ect performance expectancy in other e-learning environments (Abdullah & Ward, 2016; Yang et al., 2019).”
Oturakçı, M., & Oturakçı, M. (2018) · Engineering Management Research · doi:10.5539/emr.v7n2p43 · Cited by 6
“Abdullah and Ward (2016) developed a general extended TAM for e-learning (GETAMEL) to identify most commonly used external factors. Authors concluded that self- efficacy, subjective norm, enjoyment, computer anxiety and experience are the most commonly used external factors of TAM. With the validation of GETAMEL; self…”
BackgroundMethodInfluentialDesigning and Implementing an e-Course Using Adobe Captivate and Google Classroom: A Case Study
Alia, S., & Hamtini, T. M. (2019) · International Conference on New Trends in Computing Sciences (ICTCS) · doi:10.1109/ictcs.2019.8923037 · Cited by 6
“Subsequently, TAM has proved its effectiveness for measuring human acceptance for learning management systems [17], and platforms that are made for online education [18] [19] .”
BackgroundJiménez, I. A. C., Garcia, L. C., Violante, M., & Vezzetti, E. (2020) · Preprints.org · doi:10.20944/preprints202010.0023.v1 · Cited by 2
“Abdullah and Ward [5] developed a General Extended Technology Acceptance Model for e-learning (GETAMEL) by analyzing the external variables used in TAM extensions from the perspective of technology and user types.”
BackgroundMethodInfluentialFrom Viewers to Participants: The Evolution of Learning Through Interactive Video
Perry‐Kates, A., & Cohen, A. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70061 · Cited by 9
Han, F., & Guo, J. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00543-z · Cited by 5
“Furthermore, consistent with previous findings that Computer Self-efficacy played a significant role of on students’ PEOU of e-portfolio (Abdullah et al., 2016) or intelligent tutoring systems (Han, 2024), our study showed that Computer Self-efficacy also had a significant path to PEOU in the…”
InfluentialMilutinović, V. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13786-0 · Cited by 9
“Abdullah and Ward (2016), in their meta-analysis of 107 academic papers, determined that subjective norm positively influences both PU and PEU, with a more pronounced effect on PEU.”
InfluentialGong, Y., Guo, Y., Zhang, T., Zhu, X., & Wang, L. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2025.106121 · Cited by 6
Sawiji, H. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2355830 · Cited by 17
“Further studies have revealed that computer anxiety is associated with technology adoption among teachers and students (Abdullah & Ward, 2016; Hu et al., 2022; Sumak et al., 2011).”
Adu-Marfo, A. O., Asamoah, M. K., Aryeh-Adjei, A. A., & Miller-Young, J. E. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101126 · Cited by 6
Tian, Y., & Wang, Y. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1456770 · Cited by 5
Gerayllo, S., Vakili, M. A., Jouybari, L. M., Moghadam, Z., Jafari, A., & Heidari, A. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06747-1 · Cited by 5
Sobhani, S. M. J., Jamshidi, O., & Ardekani, Z. F. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1551546 · Cited by 17
de Oliveira, N. J. S., Procaci, T. B., & Siqueira, S. W. M. (2020) · Revista Brasileira de Informática na Educação · doi:10.5753/rbie.2020.28.0.229 · Cited by 5
Al-Nuaimi, M. N. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-64987-6_3 · Cited by 5
Singh, R. K., & Kushwaha, B. P. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-73885-3_10 · Cited by 7
Shin, J., Seo, M., & Lew, Y. K. (2022) · Sustainability · doi:10.3390/su14127457 · Cited by 8
Adopción de tecnologías en sistemas de producción agroalimentario: una revisión de literatura
Leutenegger, M. R., & López, P. E. V. (2022) · Revista RIVAR · doi:10.35588/rivar.v9i26.5575 · Cited by 5
Generation Z and E-Learning: COVID-19, Personality, and Technology Acceptance
Marcus, V., Masrahi, A., & Motamedi, S. (2022) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181322661183 · Cited by 5
“Perceived Ease of Use is defined as the degree to which a person believes that adopting or using a particular system would be free of effort (Abdullah & Ward, 2016; Abdullah et al., 2016; Baber, 2021; Bagci & Celik, 2018; Davis, 1989; Fathema et al., 2015; Liu et al., 2010; Zhao et al., 2021).”
BackgroundMethodInfluentialPredicting the secondary school students’ intention to use e-learning technologies
Bahçekapılı, E. (2023) · Research in Learning Technology · doi:10.25304/rlt.v31.2881 · Cited by 18
ALFarsi, G. M., Yusof, A. B. M., Rusli, M. E., & Alsinani, M. (2023) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v17i08.36935 · Cited by 5
Acceptance of mobile-assisted engineering vocabulary learning by military students
Hsu, H., & Chao, W.-N. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11932-0 · Cited by 10
“This finding is inconsistent with those of most studies (Abdullah, et al., 2016; Unal & Uzun, 2021 ) but not that of Chang et al. ( 2017 ).”
Henrich, M., Formella-Zimmermann, S., Gübert, J., & Dierkes, P. W. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1216318 · Cited by 5
Predictors of E-government Services Adoption: A Case Study of Russian Students in China
Mensah, I. K. (2017) · International Journal of Management and Fuzzy Systems · doi:10.11648/j.ijmfs.20170305.12 · Cited by 5
“PEOU has a direct determinate on behavioral intention (BI) [31, 32, 33].”
BackgroundImproving software requirements reasoning by novices: a story‐based approach
Fatima, R., Yasin, A., Liu, L., Wang, J., Afzal, W., & Yasin, A. (2019) · IET Software · doi:10.1049/iet-sen.2018.5379 · Cited by 5
Willingness to Use Electronic Revenue Collection System
Haruna, S., & Kassim, N. M. (2019) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2019100104 · Cited by 5
Factors Influencing the Use of Smartphones for Programing: A Structural Equation Modeling Approach
Alwabel, A. S. A., Al‐Gahtani, S. S., & Talab, A. (2020) · International Journal of Innovation and Technology Management · doi:10.1142/s0219877020500327 · Cited by 6
Falco, E., Stylianou, C., Martínez, G., Kleinhans, R., Moro, S. B., & Neophytou, H. (2020) · International Journal of Electronic Government Research · doi:10.4018/ijegr.2020070105 · Cited by 5
Matias, J. B., & Timosan, J. Q. (2020) · International Journal of Enterprise Information Systems · doi:10.4018/ijeis.2021010104 · Cited by 5
Kurniawan, Y., Candra, S., & Tungka, L. Y. (2021) · Springer eBooks · doi:10.1007/978-3-030-61089-0_7 · Cited by 5
Impact of Covid-19 on Undergraduate and Postgraduate Students’ Usage Intention towards E-Learning
Bhati, N. S., & Arya, B. (2020) · IEEE International Conference on Technology, Engineering, Management for Societal Impact using Marketing, Entrepreneurship and Talent (TEMSMET) · doi:10.1109/temsmet51618.2020.9557557 · Cited by 5
Mizher, R. A., Amoush, K. H., & Alwreikat, A. (2022) · Arab World English Journal · doi:10.24093/awej/call8.6 · Cited by 5
“As for the external variables, experience in online learning was cited as among the most commonly used external factors (Abdullah & Ward, 2016).”
MethodExploring University Students’ Acceptance in Online Learning Using Technology Acceptance Model (TAM)
Said, C. S., Jelani, A. B., Rashid, N. B. A., Kamarulzaman, M. A., Rahman, M. H. A., Ismail, N. A., Noor, A. F. M., & Amin, J. M. (2022) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v11-i4/15066 · Cited by 5
“The Technology Acceptance Model which proposed by Davis (1989) is widely used by scholars to predict the acceptance of technology in information systems (Abdullah & Ward, 2016; Alyoussef, 2021; Chaveesuk et al., 2018; Tarhini, 2017).”
MethodPERCEPTIONS OF TEACHERS TOWARD GAME-BASED PROGRAMMING TOOLS IN K-12 CLASSROOMS
(2019) · IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS · doi:10.33965/ijcsis_2019140102 · Cited by 5
“Some studies emphasized that perceived enjoyment plays an important role, and as such have incorporated it to explain certain phenomena regarding teachers’ perceptions of using an e-learning system/tool (Abdullah and Ward, 2016; Sun and Zhang, 2008).”
BackgroundDash, G. (2023) · Athens Journal of Education · doi:10.30958/aje.10-1-2 · Cited by 5
“Self-adequacy, emotional standards, happiness, nervousness, and involvement in using computers significantly affected understudies‟ acceptance of e-learning (Soyşen, 2016; Abdullah & Ward, 2016).”
BackgroundIbrahim, M. F. (2021) · International journal of intelligent engineering and systems · doi:10.22266/ijies2021.1031.43 · Cited by 5
The Always on Employee: The Antecedents and Consequences of Work-Related Email Use After Hours
Manapragada, A. (2017) · FIU - Digital Commons (Florida International University) · doi:10.25148/etd.fidc001945 · Cited by 5
“Indeed, a multitude of recent research has adapted and/or modified the TAM to be used for studying various phenomena such as engagement in e-learning (Abdullah & Ward, 2016), use of cloudcomputing (Sabi, Uzoka, Faith-Michael, Langmia, & Njeh, 2016), and mobile instant messaging (Bere & Rambe, 2016).”
BackgroundXu, W., Zhu, K., Zhou, D., Wang, C., & Wen, C. (2025) · Education Sciences · doi:10.3390/educsci15070828 · Cited by 4
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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