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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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Sorted by citations
Items 601–700 of 981
Sun, K.-A., & Moon, J. (2024) · SAGE Open · doi:10.1177/21582440241289995 · Cited by 6
“Additionally, the TAM contends that usefulness and attitude are essential attributes that account for the intention to use technology (Abdullah & Ward, 2016; Kamal et al., 2020).”
Schittko, M., Mara, M., & Stiglbauer, B. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2549076 · Cited by 6
“However, even attitudes toward the use of a system, namely the impact or passive influence, are operationalized similarly in terms of the system design (see Abdullah & Ward, 2016; Baroni et al., 2022; Dahm & Dregger, 2019; Rosli et al., 2022; Yousafzai et al., 2007a).”
An, J., Xiang, Z., Wan, K., Zhu, X., An, J., & Yang, Y. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1621866 · Cited by 4
Aly, H., Volonte, M., Byrne, K. A., & Knijnenburg, B. P. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713570 · Cited by 7
“Additionally, this indicates that fostering positive attitudes towards technology and enhancing user motivation can significantly impact the effectiveness of AI-assisted educational tools [4, 10].”
Rehman, A. U., Raza, M. A., & Abbas, N. (2025) · Innovation journal of social sciences and economic review. · doi:10.36923/ijsser.v7i1.300 · Cited by 8
“This framework has been widely validated across domains, including educational contexts (Abdullah & Ward, 2016).”
InfluentialFaustino, P., & Simões, D. M. (2019) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-9304-1.ch015 · Cited by 4
Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud
Das, A., Roopaei, M., Jamshidi, M. M., & Najafirad, P. (2022) · International Conference on System of Systems Engineering · doi:10.1109/sose55472.2022.9812698 · Cited by 4
“A safe and smart city aims to enhance the quality and performance of urban services by utilizing advanced technologies to process massive amounts of information and provide intelligent Knowledge-as-a-Service (KaaS) platforms [1].”
BackgroundOlawumi, K. B., & Mavuso, M. P. (2022) · E-Journal of Humanities Arts and Social Sciences · doi:10.38159/ehass.2022sp31110 · Cited by 4
Best Practices for Training in Sustainable Greenhouse Horticulture
Witte, R. D., Janssen, D., Sayadi, S., & García-García, C. (2023) · Sustainability · doi:10.3390/su15075816 · Cited by 4
Dollija, E., Teneqexhi, M., & Gura, S. (2023) · Journal of Education and e-Learning Research · doi:10.20448/jeelr.v10i4.5004 · Cited by 4
“They confirm the significant impact of SQ, SE, FC, and SN on PEU, as confirmed by earlier research (Abdullah & Ward, 2016; Alsharida et al., 2021; Baydas & Goktas, 2017; Keikhosrokiani, 2020; Park, 2009; Scherer et al., 2019).”
BackgroundMethodResultInfluentialBerbar, S. (2023) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis61268.2023.00016 · Cited by 4
“[25] examined three beliefs, namely perceived utility, perceived ease of use, and perceived enjoyment, as predictors of users' adoption of interactive maps.”
BackgroundResultAn Empirical Study on the Intention to Use Online Medical Service
Chu, X., Lei, R., Liu, T., Li, L., Yang, C., & Feng, Y. (2018) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2018.8464965 · Cited by 4
“Attitudes can be defined in this paper as the positive or negative individual’s assessment of online medical services [25].”
BackgroundSamuel, N., Makinde, S. O., & Ogunlade, O. O. (2021) · International Journal of Professional Development Learners and Learning · doi:10.30935/ijpdll/10881 · Cited by 4
“…field of education (Farahat, 2012), extended TAM with other relevant constructs in determining users’ intentions towards using elearning technology (Abdullah & Ward, 2016; Weerasinghe & Hindagolla, 2017) and necessity for deploying digital technologies into educational settings (Scherer, Siddiq,…”
BackgroundEvaluating Technology-Mediated Collaborative Workflows for Telehealth
Bondy, C., Chen, L., Grover, P., Hanson, V., Li, R., & Shi, P. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3119458 · Cited by 4
“Practitioners will need to understand that many of telehealth users are elderly and may have sight, hearing, and dexterity issues-amongst the typical anxiety concerns evidenced in this demographic’s perception of new technology [32], [42].”
BackgroundE-learning User Acceptance on Employee Training using E-learning on Organization in Indonesia
Putri, T. D., & Handayani, P. W. (2021) · International Conference of Computer and Informatics Engineering (IC2IE) · doi:10.1109/ic2ie53219.2021.9649183 · Cited by 4
Ögel-Balaban, H. (2022) · Turkish Online Journal of Distance Education · doi:10.17718/tojde.1095740 · Cited by 7
“…demonstrating the positive relationship between experience with and attitude toward the technology-based education systems (e.g. Abbad et al., 2009; Abdullah & Ward, 2016; Lee et al., 2013), the present findings suggest that the students’ use of online education instruments provided by their…”
BackgroundTechnology Acceptance Models pada Teknologi Digital: Survey Paper
Nofita, M., & Sebastián, D. (2022) · KONSTELASI Konvergensi Teknologi dan Sistem Informasi · doi:10.24002/konstelasi.v2i2.5347 · Cited by 10
“UTAUT merupakan kerangka kerja yang sangat berpengaruh untuk memprediksi penerimaan adopsi teknologi maupun teknologi baru di banyak konteks [47], mempunyai prediktabilitas yang baik [48][49][50], dan juga merupakan model yang paling populer di bidang penerimaan teknologi dan keberhasilannya dalam implementasi sistem…”
BackgroundWan, F., & Hsu, C. H. C. (2022) · Journal of China Tourism Research · doi:10.1080/19388160.2022.2096165 · Cited by 4
URM and Non-URM Students in Online Courses
Sumbera, B. G., Beck, C. L. M., McIntyre, M. M., & Canelón, J. (2022) · International Journal of Adult Education and Technology · doi:10.4018/ijaet.313436 · Cited by 6
Alnagrat, A. J. A., Ismail, R. C., & Idrus, S. Z. S. (2023) · AIP conference proceedings · doi:10.1063/5.0127818 · Cited by 4
Zuo, Y. (2023) · Modern English Education · doi:10.18095/meeso.2023.24.1.238 · Cited by 4
Mesenhöller, J., & Böhme, K. (2024) · Diagnostica · doi:10.1026/0012-1924/a000333 · Cited by 4
Overview of the global e-learning systems market
Bataev, A. V. (2017) · International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS) · doi:10.1109/itmqis.2017.8085905 · Cited by 4
Fast and Slow: Using Spritz for Academic Study?
Adefila, A., Graham, S., & Patel, A. (2020) · Technology Knowledge and Learning · doi:10.1007/s10758-020-09442-w · Cited by 4
Korean EFL Learner Preference for Text-Based Digital Composing During Emergency Remote Learning
Washburn, D. F. (2021) · English Teaching · doi:10.15858/engtea.76.2.202106.131 · Cited by 4
“…reviewing the myriad studies on the external variables influencing PU and PEOU express concern for the inconsistent use and poor definition of measurement constructs across studies (Abdullah & Ward, 2016; Kemp et al., 2019; Moore & Benbasat, 1991; Venkatesh et al., 2003; Venkatesh & Bala, 2008).”
BackgroundYulianto, D., Setyaningsih, E., & Sumardi, S. (2021) · Register Journal · doi:10.18326/rgt.v14i2.203-224 · Cited by 4
Junaidi, Y., Hashim, H. B., & Ismail, H. H. (2022) · Journal of Nusantara Studies (JONUS) · doi:10.24200/jonus.vol7iss2pp221-244 · Cited by 4
“The survey was developed by referring to instrument used by Rizun and Strzelecki (2020), as this study was also adapting the General Extended Technology Acceptance Model for E-Learning (GETAMEL) by Abdullah and Ward (2016).”
MethodPredicting the Adoption of Mobile Business Applications by Culinary SMEs in Indonesia
Hardiyanto, N., Rafdinal, W., & Gaffar, M. R. (2022) · Journal of Management and Entrepreneurship Research · doi:10.34001/jmer.2022.6.03.1-27 · Cited by 4
“The use of e-learning has found a relationship between facilitating conditions, perceived ease of use, and perceived usefulness (F. Abdullah & Ward, 2016).”
BackgroundStrzelecki, A., Cicha, K., Rizun, M., & Rutecka, P. (2022) · Proceedings of the International Conference on Information Systems Development · doi:10.62036/isd.2022.57 · Cited by 4
Jebril, H. (2021) · Asian Journal of Education and Social Studies · doi:10.9734/ajess/2021/v23i430565 · Cited by 4
Evaluating the success of e-learning systems : the case of Moodle LMS at the University of Warwick
Al-Fraihat, D. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33801964 · Cited by 4
Strategies for Implementing Green Business in Indonesian Small and Medium-sized EnterprisesPreprint
Yanto, H., Susanti, A., Kiswanto, F. A., Baroroh, N., & Wibowo, A. (2019) · SSRN Electronic Journal · Cited by 4
A new approach for assessing the quality of online courses
Abda, Y., Mehenaoui, Z., Lafifi, Y., & Boudjehem, R. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12247-w · Cited by 3
“Alargenumberofstudieshavehighlightedthequality(Uppaletal.,2018;Machado-Da-Silva et al., 2014) and success of online courses (Mohammadi, 2015; Aparicio et al., 2017; Abdullah and Ward, 2016; Tarhini et al., 2017).”
Harnessing holographic technology in science education: an integrated GETAMEL-TOE model analysis
Özdemir, A. M., & Ateş, H. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2564738 · Cited by 3
“…a thorough review of existing literature to identify validated measurement scales aligned with holography adoption in education (e.g. Abdullah et al., 2016; Abdullah & Ward, 2016; Ajzen, 2006; Ateş & Gündüzalp, 2025b; Ateş & Polat, 2025a; Davis, 1989; Nguyen et al., 2022; Shahadat et al., 2023).”
InfluentialInterpreting institute culture dynamics of technology adoption: a downscaling dynamic model
Zheng, L., Liu, T., Islam, A. Y. M. A., & Gu, X. (2023) · Educational Technology Research and Development · doi:10.1007/s11423-023-10219-y · Cited by 3
“Third, acquiring experience in using technology may contribute to teachers’ perceptions of technology and intention of actual use (Abdullah & Ward, 2016).”
BackgroundRotar, O. (2023) · TechTrends · doi:10.1007/s11528-023-00878-2 · Cited by 3
Al‐Ghaith, W. (2023) · International Journal of Computer Science and Information Technology · doi:10.5121/ijcsit.2023.15406 · Cited by 3
“In educational environment, perceived usefulness or relative advantages, and ease of use have been demonstrated in many prior studies to be antecedent drivers or factors that have positive influence on adoption of technology [42]; [43].”
BackgroundCheng, M., Lai, X., Tao, D., Lai, J., & Yang, J. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12325-z · Cited by 3
“By synthesizing all external variables related to technology acceptance constructs, Abdullah and Ward ( 2016) included cognitive ability, such as computer knowledge, as the external vari - able influencing students’ perceived usefulness and perceived ease of use.”
Khan, M. W., Bilal, K., & Alam, G. (2024) · Frontiers in Built Environment · doi:10.3389/fbuil.2024.1324954 · Cited by 3
(2024) · Journal of Logistics Informatics and Service Science · doi:10.33168/jliss.2024.0929 · Cited by 3
Student experiences and preferences for offline interactions with university lecturers
Ragusa, A. T. (2025) · Rural Society · doi:10.1080/10371656.2025.2465168 · Cited by 3
“…and technical skills (Ansong-Gyimah, 2020; Martin, Stamper, & Flowers, 2020), and the relevance individual attitudes towards technology play in an individual’s decision to attribute high or low satisfaction with online learning technologies (Abdullah & Ward, 2016; Yang, Feng, & MacLeod, 2019).”
Impact of AI chatbots on EFL learners’ technology adoption
Huang, Y., & Fung, D. C.-L. (2024) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.24019.hua · Cited by 7
Kufarimani, N., & Chitanana, L. (2025) · Discover Education · doi:10.1007/s44217-025-00792-0 · Cited by 3
“The ease of use dimension extends beyond technical usability to include cultural competence requirements and institutional support structures [1].”
Dyubele, S., Cele, N. P., & Mbangata, L. (2020) · International Conference on Intelligent and Innovative Computing Applications · doi:10.1145/3415088.3415100 · Cited by 3
Eren, B. A. (2021) · Pazarlama ve Pazarlama Araştırmaları Dergisi · doi:10.15659/ppad.14.2.251 · Cited by 3
Cultural Emotion Games as Trajectory Learning in Southeast Asia
Vadivel, V. S., Song, I., & Bhati, A. S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-89394-1_5 · Cited by 3
Performance of the Expanded Technology Acceptance Model in the Sub-Saharan African Context
(2020) · International Conferences on Science, Engineering, Technology & Waste Management (SETWM), Agricultural, Chemical, Biological & Environmental Sciences (ACBES) and Education, Economics, Humanities & Social Sciences (EEHSS) · doi:10.17758/eares10.eap1120401 · Cited by 3
Yıldız, G., Şahin, F., & Doğan, E. (2022) · Anadolu Journal Of Educational Sciences International · doi:10.18039/ajesi.1052854 · Cited by 3
The Effectiveness of High-tech Product on Customer Satisfaction towards Luxury Hotel
Gao, E., & Yang, X. (2022) · BCP Business & Management · doi:10.54691/bcpbm.v20i.1073 · Cited by 3
“Another research by Abdullah and Ward suggests the use of TAM in the field of GETAMEL (General Extended Technology Acceptance Model for E-Learning) [17].”
BackgroundChinese consumers’ intention to purchase tourism financial products
Wang, X., & Xu, A. (2022) · Journal of Teaching in Travel & Tourism · doi:10.1080/15313220.2022.2097155 · Cited by 3
“Abdullah and Ward (2016) demonstrated through their research on e-learning illustrated that perceived ease of use positively affects perceived usefulness.”
BackgroundSiwale, M. (2022) · Journal of international technology and information management · doi:10.58729/1941-6679.1547 · Cited by 3
Intention to Use a VR Learning System: A Moderated Mediation Model
Tie, Z., & Guo, G. (2022) · International Conference on Education Technology and Computer · doi:10.1145/3572549.3572571 · Cited by 3
“Self efficacy has been substantially researched as an external variable [3, 4] but its moderating role is scarcely known.”
BackgroundResultLee, S., Fogliasso, C. E., Jung, S., Shin, M.-H., & Shum, C. (2023) · Service Business · doi:10.1007/s11628-023-00534-y · Cited by 3
“Extant literature suggests numerous external factors of TAM, as contrasted with internal factors such as perceived ease of use and perceived usefulness (e.g., Abdullah and Ward 2016).”
BackgroundMethodSemlambo, A. A., Sengati, F., & Nakembetwa, A. M. (2023) · European Journal of Theoretical and Applied Sciences · doi:10.59324/ejtas.2023.1(2).16 · Cited by 3
English learners’ intentions to adopt online learning post-pandemic: Ease precedes usefulness
Suparman, I., Kumar, J. A., & Osman, S. B. (2023) · Comunicar · doi:10.3916/c77-2023-03 · Cited by 6
Aldosemani, T. I. (2023) · International Journal of Online Pedagogy and Course Design · doi:10.4018/ijopcd.325240 · Cited by 12
“…factors affecting perceived ease of use and perceived usefulness to predict acceptance, such as system features and design that can potentially enhance the explanatory power of TAM and improve the explained variance of constructs (Abdullah & Ward, 2016; Davies, 1989; Nikou & Economides, 2017).”
BackgroundBoerchi, D., Cacciamani, S., & Ligorio, M. B. (2023) · Technology Knowledge and Learning · doi:10.1007/s10758-023-09678-2 · Cited by 3
“GETAMEL is an extended TAM version developed by Abdullah and Ward (2016) through a quantitative meta-analysis of 107 papers to identify TAM’s most commonly used external factors.”
Apriani, R. G., Respati, D. K., & Handarini, D. (2023) · JOURNAL OF HUMANITIES SOCIAL SCIENCES AND BUSINESS (JHSSB) · doi:10.55047/jhssb.v3i1.829 · Cited by 3
Sabiote, C. R., Valerio-Peña, A. T., Batista-Almonte, R. A., & Úbeda-Sánchez, Á. M. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i2.7578 · Cited by 3
“All of this originates from the TAM proposed by Davis (1989) and from subsequent extended and adapted models (Abdullah & Ward, 2016).”
Rise of the machines: Investigating service robot adoption intentions in hotel industry
Hanji, S. V., Navalgund, N. R., Hanji, S. S., Goud, G. V., Hatture, S. M., & Wadawadagi, R. S. (2024) · AIP conference proceedings · doi:10.1063/5.0229719 · Cited by 3
Engineering students’ perceptions of e-learning in higher education: A two-university comparison
Alreiahi, N. J., Patil, P. B., & Alruqobah, E. (2024) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/15706 · Cited by 3
“Likewise, the measure of PU supported the students ’ attitude toward the e-learning systems and their BI to use them (e-learning systems) (Abdullah & Ward, 2016; Liaw & Huang, 2011; Padalia et al., 2023; Tan et al., 2023).”
Cross-cohort analysis of how COVID has changed the online learning experience of business students
Halász, Á., & Kenesei, Z. (2024) · The International Journal of Management Education · doi:10.1016/j.ijme.2024.101121 · Cited by 4
Investigating consumer behavior in online shopping among university students in two countries
Özdemir, A., & Naserinia, M. (2020) · Pressacademia · doi:10.17261/pressacademia.2020.1185 · Cited by 3
“Because the element of enjoyment, in addition to its impact on attitude, has a direct impact on perceived usefulness and perceived ease of use, and one of the backgrounds of these two factors is also considered (Abdullah and Ward, 2016).”
BackgroundBello, L. (2021) · doi:10.7176/jep/12-3-20 · Cited by 3
“This is in line with Abdullah & Ward (2016), who found that users’ perceived usefulness remains a potent factor that could determine technology use.”
ResultHussein, S., & Abdelhamid, A. (2021) · مجلة جامعة الإسکندرية للعلوم الإدارية · doi:10.21608/acj.2021.167940 · Cited by 3
“However, applying any kind of technology acceptance model (TAM) on these applications would be very difficult due to the lack of the necessary and expensive infrastructure (Connelly, 2007, Riad et al, 2013, Abdullah and Ward, 2016, Binyamin, 2019).”
BackgroundAlonso‐Muñoz, S., Torrejón-Ramos, M., & Sánchez, R. G. (2021) · Congreso de Innovación Educativa y Docencia en Red (IN-RED) · doi:10.4995/inred2021.2021.13752 · Cited by 3
Kaakour, S., Mostapha, N., & Ali, A. A. (2022) · BAU Journal - Society Culture and Human Behavior · doi:10.54729/usng6589 · Cited by 3
“…not confirmed with the following studies in the literature (Yuen & Ma, 2008; Abbad et al., 2009; Park, 2009; Park et al., 2012; Motaghian et al., 2013; Abdullah & Ward , 2016; Al-Gahtani, 2016; Chang et al., 2017; Kanwal & Rehman, 2017; Revythi & Tselios, 2019; Salloum et al., 2019;AlHamad, 2020).”
InfluentialPerceptions and Experiences of Adult Learners of Online Learning in the Era of COVID-19 in Ghana
Ziggah, S. R., Eshun, P. A., & Mahama, I. (2023) · Journal of Psychological Research · doi:10.30564/jpr.v4i4.5268 · Cited by 4
EduGene: A UIDP-Based Educational App Generator for Multiple Devices and Platforms
Cortes-Camarillo, C. A., Alor‐Hernández, G., Sánchez-Morales, L. N., Rosales-Morales, V. Y., Rodríguez-Mazahua, L., & Sánchez-Cervantes, J. L. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1459347 · Cited by 3
“As proposed by Malganova and Rahkimova (2015), Queirós, Leal, and Paiva (2016), and Abdullah and Ward (2016), we considered platforms Moodle (2017), Sakai (2014), and Atutor (2015) to perform EduGene ’ s comparative evaluation.”
BackgroundMethodHaruna, S., & Kassim, N. M. (2019) · Advances in finance, accounting, and economics book series · doi:10.4018/978-1-5225-7712-6.ch001 · Cited by 3
Setiawan, R., Budiharto, W., Kartowisastro, I. H., & Prabowo, H. (2020) · IEEE Access · doi:10.1109/access.2020.2964811 · Cited by 3
“These two factors are influenced by external variables as well [15].”
BackgroundA New Model for Assessing the Impact of New IT-Based Services on Students' Productivity.
Eslamian, A., Rajabion, L., Tofighi, B., & Khalili, A. H. (2019) · The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · Cited by 3
Which Kind of Learning Form Do Students Want in China during COVID-19 Outbreak
Zeng, L. (2020) · International Conference on Education and Multimedia Technology (ICEMT) · doi:10.1145/3416797.3416811 · Cited by 3
“a critical predictor of learner’s perceived ease of use of e-learning technologies or systems [1].”
BackgroundMethodInfluentialExpanded Technological Acceptance Model for the Sub-Saharan African Environment (ETAM-4SAE)
(2020) · International Conferences on Science, Engineering, Technology & Waste Management (SETWM), Agricultural, Chemical, Biological & Environmental Sciences (ACBES) and Education, Economics, Humanities & Social Sciences (EEHSS) · doi:10.17758/eares10.eap1120405 · Cited by 3
Factors Influencing Psychological Distress Mediated by E-Learning Courses in Times of Covid-19
Gutiérrez-Aguilar, O., Ticona-Apaza, F., Ticona-Apaza, V., & Huanca, S. C. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-19-6347-6_21 · Cited by 3
User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity
Awais, M., Samin, T., Gulzar, M. A., Aljuaid, H., Ahmad, M. I., & Mazzara, M. (2019) · IEEE Access · doi:10.1109/access.2019.2954650 · Cited by 3
Mokmin, N. A. M., & Neoh, Y. T. (2023) · Research Square · doi:10.21203/rs.3.rs-2526209/v1 · Cited by 3
Examining user acceptance of a food delivery app for Indian railway passengers
Chellappa, V., & Paleri, R. A. (2025) · British Food Journal · doi:10.1108/bfj-10-2024-1074 · Cited by 2
Generative AI in Multicultural Classrooms
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“Empirical evidence consistently positions SI as one of the most in fl uential determinants of BI (Abdullah and Ward 2016; Al-Adwan et al. 2024; Choi and Chung 2013; Tarhini et al. 2015), although some studies have reported non-signi fi cant fi ndings (Persada et al. 2019).”
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“Based on previous studies, Abdullah and Ward [59] have synthesized the most frequently employed external factors for TAM, including self-efficacy, subjective norm, enjoyment, computer anxiety and experience.”
Asadi, S., Abdullah, R., Jusoh, Y. Y., & Sidi, F. (2019) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v9-i11/6622 · Cited by 2
“Thus, external factors (also named antecedents of PEOU and PU) have a key role in describing technology adoption behavior (Abdullah and Ward, 2016).”
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“TAM has been widely applied in different learning areas which are education/learning-related such as e-learning [10], [11] and [12]; Massive Open Online Courses (MOOC) [13] and Mobile learning [14].”
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“According to Abdullah and Ward [19], a positive perception towards the usage of a technology has a direct influence in its usage intention.”
BackgroundPreviously Completed Systematic Review and Meta-Analysis Studies
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Teknoloji Kabul Modeli Çerçevesinde Metaverse ve Tüketiciler
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“Convergent validity was established based on the measurement of reliability, composite reliability (CR) and AVE for every construct (Abdullah & Ward, 2016).”
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Online learning acceptance in higher education – Do we know everything?
Halász, Á., & Kenesei, Z. (2024) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2024.05.01 · Cited by 2
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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