A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Rosli, Mohd Shafie; Saleh, Nor Shela; Md. Ali, Azlah; Abu Bakar, Suaibah; Mohd Tahir, Lokman

doi:10.3390/su141811389

Cited by 126Technology Adoption and User BehaviourEducational Innovations and TechnologyEducation during COVID-19 pandemic

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Open access

Rosli, Mohd Shafie, Saleh, Nor Shela, Md. Ali, Azlah, Abu Bakar, Suaibah, Mohd Tahir, Lokman·2022·Sustainability

DOI 10.3390/su141811389

Open this paper in CoChat — free account Open PDF

Abstract

Over the past three decades, the Technology Acceptance model (TAM) has garnered considerable attention in higher education. COVID-19 boosted the development of TAM as multiple studies were rapidly undertaken during the pandemic. This, however, created a gap in our current understanding of the directions and trends of TAM advancement. The purpose of this study is to obtain insight into the advancement of TAM throughout the pandemic. It would assist researchers in comprehending the advancement and direction of TAM studies in higher education, such as gaining an understanding of the prevalent external variables for TAM, the statistical analysis employed, research methodologies, the technologies studied, and the geographic location of the research conducted. Finally, research gaps and future directions for TAM studies are presented. A systematic review utilizing PRISMA was conducted on 104 sampled publications. It was found that self-efficacy, subjective norms, experience, and enjoyment were the external variables most frequently used in TAM, while internal motivation received minimal attention. The existing studies have focused mainly on student samples, so further investigation is needed into lecturers, higher education personnel, and mixed groups. Further study is also required on qualitative and mixed methods, with the partial least square structural equation model currently dominating statistical analysis. Future technologies such as 5G, AI, cloud computing, augmented reality, virtual reality, and BYOD represent new TAM-related research gaps. The majority of studies have been undertaken in Asian countries, such as China and those in southeast Asia. This new systematic literature review provides insight into the trend of TAM advancement in the sustainability of higher education during the pandemic, the identified research gaps, and recommendations for future research directions. These findings also serve as a reference for future research by enhancing the foundation established by previous reviews and research on TAM, thereby facilitating the model’s ongoing expansion.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.3390/su141811389

Cites

159 of 160 references verified0 citation errors · 1 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

A recent systematic review by Rosli et al. highlighted emerging gaps in TAM, particularly in understanding how TAM constructs interact with newer technologies such as GenAI.
“A recent systematic review by Rosli et al. [30] on the advancements in and adaptations of TAM in the context of higher education highlighted that despite the robust framework of TAM, there are emerging gaps, particularly in understanding how these constructs interact with newer technologies, such as the GenAI in this study.”
From Modeling teachers’ acceptance of generative artificial intelligence use in higher education: the role of AI literacy, intelligent TPACK, and perceived trust (2024) · cites this paper as [30]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Part of this paper’s reference list could not be split into single entries.

1 retracted

RETRACTED: Student acceptance of intelligent tutoring systems during COVID-19: The effect of political influence
Cao, J., Yang, T., Lai, I. K.-W., & Wu, J. (2023) · International Journal of Electrical Engineering & Education · doi:10.1177/00207209211003270 · Cited by 28 · see citing works
Retracted
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283 · see citing works
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 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925 · see citing works
When to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541 · see citing works
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666 · cited 1× · see citing works
“Enjoyment has been added to TAM to supplement the lack of intrinsic drive in the original form, which led to criticism [67].”
Background
Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756 · see citing works
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · Systematic Reviews · doi:10.1186/s13643-021-01626-4 · Cited by 13,874 · see citing works
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 1× · see citing works
“When analyzing the development of TAM3 in situations unrelated to pandemics, it is possible that experience would become the most important factor [66].”
Background
User acceptance of information technology: system characteristics, user perceptions and behavioral impacts
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754 · see citing works
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb00860.x · Cited by 3,854 · see citing works
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802 · see citing works
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 · see citing works
Technology acceptance model: a literature review from 1986 to 2013
Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458 · see citing works
What drives mobile commerce?
Wu, J.-H., & Wang, S.-C. (2005) · Information & Management · doi:10.1016/j.im.2004.07.001 · Cited by 2,284 · see citing works
Extending the technology acceptance model with task–technology fit constructs
Dishaw, M. T., & Strong, D. M. (1999) · Information & Management · doi:10.1016/s0378-7206(98)00101-3 · Cited by 1,772 · see citing works
A critical assessment of potential measurement biases in the technology acceptance model: three experiments
Davis, F. D., & Venkatesh, V. (1996) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1996.0040 · Cited by 1,421 · see citing works
Technology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204 · see citing works
An Empirical Assessment of a Modified Technology Acceptance Model
Chau, P. Y. K. (1996) · Journal of Management Information Systems · doi:10.1080/07421222.1996.11518128 · Cited by 1,090 · see citing works
The effects of self-efficacy on computer usage
Igbaria, M. (1995) · Omega · doi:10.1016/0305-0483(95)00035-6 · Cited by 1,036 · see citing works
Does 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 · see citing works
A comparative study of cb-sem and pls-sem for theory development in family firm research
Astrachan, C. B., Patel, V. K., & Wanzenried, G. (2014) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2013.12.002 · Cited by 766 · see citing works
A Systematic Review of the Technology Acceptance Model in Health Informatics
Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1668091 · Cited by 688 · see citing works
Technology Acceptance Model in M-learning context: A systematic review
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018) · Comput. Educ. · doi:10.1016/j.compedu.2018.06.008 · Cited by 624 · see citing works
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 · see citing works
A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types
Šumak, B., Heričko, M., & Pušnik, M. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.005 · Cited by 602 · see citing works
The experiences, challenges, and acceptance of e-learning as a tool for teaching during the COVID-19 pandemic among university medical staff
Zalat, M. M., Hamed, M., & Bolbol, S. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0248758 · Cited by 496 · see citing works
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 · see citing works
Can teachers’ digital competence influence technology acceptance in vocational education?
Antonietti, C., Cattáneo, A., & Amenduni, F. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107266 · Cited by 467 · see citing works
Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context
Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05410 · Cited by 443 · see citing works
Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM)
Alfadda, H. A., & Mahdi, H. S. (2021) · Journal of Psycholinguistic Research · doi:10.1007/s10936-020-09752-1 · Cited by 438 · see citing works
Technology Acceptance in Healthcare: A Systematic Review
AlQudah, A. A., Al‐Emran, M., & Shaalan, K. F. (2021) · Applied Sciences · doi:10.3390/app112210537 · Cited by 404 · see citing works
A review of technology acceptance by older adults
Chen, K., & Chan, A. H. S. (2011) · Gerontechnology · doi:10.4017/gt.2011.10.01.006.00 · Cited by 353 · cited 1× · see citing works
“[25] 2011 Older adult 2005–2010 Systematic Review 19 TAM is the most widely used research model for investigating older adults.”
Method
Unpacking teachers’ intentions to integrate technology: A meta-analysis
Scherer, R., & Teo, T. P. (2019) · Educational Research Review · doi:10.1016/j.edurev.2019.03.001 · Cited by 353 · see citing works
Students’ Acceptance of the COVID-19 Impact on Shifting Higher Education to Distance Learning in Poland
Rizun, M., & Strzelecki, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186468 · Cited by 318 · see citing works
Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. F. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1830121 · Cited by 279 · see citing works
Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM
AlHamad, M. Q. M., Akour, I. A., Alshurideh, M. T., Al-Hamad, A. Q., Kurdi, B. H. A., & Alzoubi, H. M. (2021) · International Journal of Data and Network Science · doi:10.5267/j.ijdns.2021.6.002 · Cited by 275 · see citing works
Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea
Baber, H. (2021) · The International Journal of Management Education · doi:10.1016/j.ijme.2021.100503 · Cited by 271 · see citing works
Exploring the factors influencing the adoption and usage of Augmented Reality and Virtual Reality applications in tourism education within the context of COVID-19 pandemic
Shen, S., Xu, K., Sotiriadis, M. D., & Wang, Y. (2022) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2022.100373 · Cited by 268 · see citing works
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 · see citing works
Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach
Al‐Adwan, A. S., Albelbisi, N. A., Hujran, O., Al-Rahmi, W. M., & Alkhalifah, A. (2021) · Sustainability · doi:10.3390/su13169453 · Cited by 246 · see citing works
Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning
Revythi, A., & Tselios, N. K. (2019) · Education and Information Technologies · doi:10.1007/s10639-019-09869-4 · Cited by 245 · see citing works
COVID-19 and Higher Education: First-Year Students’ Expectations toward Distance Learning
Cicha, K., Rizun, M., Rutecka, P., & Strzelecki, A. (2021) · Sustainability · doi:10.3390/su13041889 · Cited by 243 · see citing works
University Students’ Perception of Video-Based Learning in Times of COVID-19: A TAM/TTF Perspective
Pal, D., & Patra, S. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1848164 · Cited by 223 · see citing works
Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea
Han, J.-H., & Ji, H. (2021) · Asia Pacific Education Review · doi:10.1007/s12564-021-09716-7 · Cited by 223 · see citing works
Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach
Akour, I. A., Alshurideh, M. T., Kurdi, B. H. A., Ali, A. A., & Salloum, S. A. (2021) · JMIR Medical Education · doi:10.2196/24032 · Cited by 219 · see citing works
Application of Learning Management System (LMS) during the COVID-19 Pandemic: A Sustainable Acceptance Model of the Expansion Technology Approach
Alturki, U., & Aldraiweesh, A. (2021) · Sustainability · doi:10.3390/su131910991 · Cited by 185 · see citing works
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic
Ambrogio, G., Filice, L., Longo, F., & Padovano, A. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108158 · Cited by 184 · see citing works
Factors affecting online accounting education during the COVID-19 pandemic: an integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model
Alshurafat, H., Shbail, M. O. A., Masadeh, W. M., Dahmash, F. N., & Al‐Msiedeen, J. M. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10550-y · Cited by 171 · see citing works
A Systematic Review on Blockchain Adoption
Alshamsi, M., Al‐Emran, M., & Shaalan, K. F. (2022) · Applied Sciences · doi:10.3390/app12094245 · Cited by 170 · see citing works
Learning 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 169 · see citing works
Social Media for Knowledge Acquisition and Dissemination: The Impact of the COVID-19 Pandemic on Collaborative Learning Driven Social Media Adoption
Khan, M. N., Ashraf, M. A., Seinen, D., Khan, K. U., & Laar, R. A. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.648253 · Cited by 167 · see citing works
The exploration of continuous learning intention in STEAM education through attitude, motivation, and cognitive load
Wu, C., Liu, C.-H. S., & Huang, Y. (2022) · International Journal of STEM Education · doi:10.1186/s40594-022-00346-y · Cited by 147 · see citing works
Technology enhanced learning acceptance among university students during Covid-19: Integrating the full spectrum of Self-Determination Theory and self-efficacy into the Technology Acceptance Model
Rosli, M. S., & Saleh, N. S. (2022) · Current Psychology · doi:10.1007/s12144-022-02996-1 · Cited by 136 · see citing works
Self-citation
The application of WhatsApp to support online learning during the COVID-19 pandemic in Indonesia
Mulyono, H., Suryoputro, G., & Jamil, S. R. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e07853 · Cited by 131 · see citing works
Adoption intention and effectiveness of digital collaboration platforms for online learning: the Indian students’ perspective
Singh, A. K., Sharma, S., & Paliwal, M. (2020) · Interactive Technology and Smart Education · doi:10.1108/itse-05-2020-0070 · Cited by 127 · see citing works
Acceptance of telemedicine technology among physicians: A systematic review
Garavand, A., Aslani, N., Nadri, H., Abedini, S., & Dehghan, S. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.100943 · Cited by 121 · see citing works
Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles
Abbasi, H. A., Johl, S. K., Shaari, Z. H., Moughal, W., Mazhar, M., Musarat, M. A., Rafiq, W., Farooqi, A. S., & Borovkov, A. I. (2021) · Sustainability · doi:10.3390/su132112177 · Cited by 119 · see citing works
Factors Affecting the Use of Smart Mobile Examination Platforms by Universities’ Postgraduate Students during the COVID-19 Pandemic: An Empirical Study
Alshurideh, M. T., Kurdi, B. H. A., AlHamad, A., Salloum, S. A., Alkurdi, S. H., Dehghan, A. H., Abuhashesh, M., & Masa’deh, R. M. T. (2021) · Informatics · doi:10.3390/informatics8020032 · Cited by 111 · see citing works
Students' adoption of e-learning in emergency situation: the case of a Vietnamese university during COVID-19
Ho, N. T. T., Sivapalan, S., Pham, H., Nguyen, L. T. M., Pham, A. T. V., & Dinh, V. (2020) · Interactive Technology and Smart Education · doi:10.1108/itse-08-2020-0164 · Cited by 108 · see citing works
Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students.
Sánchez‐Prieto, J. C., Cruz-Benito, J., Therón, R., & Peñalvo, F. J. G. (2020) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2020.11.009 · Cited by 106 · see citing works
Students’ Perceptions of the Actual Use of Mobile Learning during COVID-19 Pandemic in Higher Education
Alturki, U., & Aldraiweesh, A. (2022) · Sustainability · doi:10.3390/su14031125 · Cited by 101 · see citing works
The Acceptance of Telepresence Robots in Higher Education
Lei, M., Clemente, I. M., Liu, H., & Bell, J. E. (2022) · International Journal of Social Robotics · doi:10.1007/s12369-021-00837-y · Cited by 94 · see citing works
The Perceived Satisfaction in Utilizing Learning Management System among Engineering Students during the COVID-19 Pandemic: Integrating Task Technology Fit and Extended Technology Acceptance Model
Navarro, M. M., Prasetyo, Y. T., Young, M. N., Nadlifatin, R., & Redi, A. A. N. P. (2021) · Sustainability · doi:10.3390/su131910669 · Cited by 90 · see citing works
An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage
Al-Bashayreh, M. G., Almajali, D., Altamimi, A. M., Masa’deh, R. M. T., & Al‐Okaily, M. (2022) · Sustainability · doi:10.3390/su14074325 · Cited by 90 · see citing works
Empirical Testing of a Theoretical Extension of the Technology Acceptance Model: An Exploratory Study of Educational Wikis
Liu, X. (2009) · Communication Education · doi:10.1080/03634520903431745 · Cited by 88 · see citing works
Social Media Technologies Used for Education: An Empirical Study on TAM Model During the COVID-19 Pandemic
Alismaiel, O. A., Cifuentes‐Faura, J., & Al-Rahmi, W. M. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.882831 · Cited by 86 · see citing works
Acceptance of Google Meet during the Spread of Coronavirus by Arab University Students
Al-Maroof, R. S., Alshurideh, M. T., Salloum, S. A., AlHamad, A., & Gaber, T. (2021) · Informatics · doi:10.3390/informatics8020024 · Cited by 83 · see citing works
Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic
Mo, C.-Y., Hsieh, T.-H., Lin, C., Jin, Y., & Su, Y.-S. (2021) · Sustainability · doi:10.3390/su13105471 · Cited by 81 · see citing works
Public acceptance of connected vehicles: An extension of the technology acceptance model
Acharya, S., & Mekker, M. M. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2022.05.002 · Cited by 80 · see citing works
Determinant factors in adopting mobile health application in healthcare by nurses
Nezamdoust, S., Abdekhoda, M., & Rahmani, A. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-01784-y · Cited by 79 · see citing works
Perspectives of University Students and Faculty on remote education experiences during COVID-19- a qualitative study
Khan, S. N., Kambris, M. E. K., & Alfalahi, H. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10784-w · Cited by 77 · see citing works
Adapted technology acceptance model for mobile policing
Lindsay, R., Jackson, T., & Cooke, L. (2011) · Journal of Systems and Information Technology · doi:10.1108/13287261111183988 · Cited by 74 · see citing works
Understanding and Predicting Students’ Entrepreneurial Intention through Business Simulation Games: A Perspective of COVID-19
Zulfiqar, S., Alreshidi, H. A., Moteri, M. A. A., Feroz, H. M. B., Yahaya, N., & Al-Rahmi, W. M. (2021) · Sustainability · doi:10.3390/su13041838 · Cited by 69 · see citing works
Investigating students' behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic
Al-Hamad, M. Q., Mbaidin, H. O., AlHamad, A., Alshurideh, M. T., Kurdi, B. H. A., & Al-Hamad, N. Q. (2021) · International Journal of Data and Network Science · doi:10.5267/j.ijdns.2021.6.001 · Cited by 69 · see citing works
Investigating Students’ Adoption of MOOCs during COVID-19 Pandemic: Students’ Academic Self-Efficacy, Learning Engagement, and Learning Persistence
Alamri, M. M. (2022) · Sustainability · doi:10.3390/su14020714 · Cited by 65 · see citing works
Examining the role of technology‐related policy and constructivist teaching belief on English teachers’ technology acceptance: A study in Chinese universities
Huang, F., & Teo, T. P. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.13027 · Cited by 63 · see citing works
Video Game Acceptance: A Meta-Analysis of the Extended Technology Acceptance Model
Wang, X.-H., & Goh, D. (2017) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0086 · Cited by 60 · see citing works
Measuring instructors continued intention to reuse Google Classroom in Iraq: a mixed-method study during COVID-19
Hussein, M. H., Ow, S. H., Ibrahim, I., & Mahmoud, M. A. (2020) · Interactive Technology and Smart Education · doi:10.1108/itse-06-2020-0095 · Cited by 60 · see citing works
Factors affecting the usage of learning management systems in higher education
Kaewsaiha, P., & Chanchalor, S. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10374-2 · Cited by 58 · see citing works
Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A modified educational technology acceptance model
Sepasgozar, S. M. E. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101921 · Cited by 58 · see citing works
A meta-analysis of e-health applications acceptance
Chauhan, S., & Jaiswal, M. P. (2017) · Journal of Enterprise Information Management · doi:10.1108/jeim-08-2015-0078 · Cited by 57 · see citing works
Editorial to the special section—Technology acceptance models: What we know and what we (still) do not know
Scherer, R., & Teo, T. P. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12866 · Cited by 56 · see citing works
“Covid-working”: what to keep and what to leave? Evidence from an Italian company
Tagliaro, C., & Migliore, A. (2021) · Journal of Corporate Real Estate · doi:10.1108/jcre-10-2020-0053 · Cited by 56 · see citing works
Acceptance of YouTube as a Learning Platform during the Covid-19 Pandemic: The Moderating Effect of Subscription Status
Yaacob, Z., & Saad, N. H. M. (2020) · TEM Journal · doi:10.18421/tem94-54 · Cited by 55 · see citing works
Students’ Actual Use of E-Learning in Higher Education During the COVID-19 Pandemic
Gurban, M. A., & Almogren, A. S. (2022) · SAGE Open · doi:10.1177/21582440221091250 · Cited by 55 · see citing works
Technology acceptance model and social network sites (SNS): a selected review of literature
Weerasinghe, S., & Hindagolla, B. M. M. C. B. (2018) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-09-2017-0079 · Cited by 54 · see citing works
Do Playfulness and University Support Facilitate the Adoption of Online Education in a Crisis? COVID-19 as a Case Study Based on the Technology Acceptance Model
Wang, S., Tlili, A., Zhu, L., & Yang, J. (2021) · Sustainability · doi:10.3390/su13169104 · Cited by 53 · see citing works
E-Learning during COVID-19 Outbreak: Cloud Computing Adoption in Indian Public Universities
Bhardwaj, A. K., Garg, L., Garg, A., & Gajpal, Y. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2021.014099 · Cited by 52 · see citing works
E-learning intention of students with anxiety: Evidence from the first wave of COVID-19 pandemic in China
Hu, X., Zhang, J., He, S., Zhu, R., Shen, S., & Liu, B. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.121 · Cited by 52 · see citing works
The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies
Gartner, J., Fink, M., & Maresch, D. (2022) · Technological forecasting & social change · doi:10.1016/j.techfore.2022.121723 · Cited by 50 · see citing works
Impact of female students’ perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam
Bui, T.-H., Luong, D., Nguyen, X.-A., Nguyen, H.-L., & Ngo, T.-T. (2020) · Data in Brief · doi:10.1016/j.dib.2020.106142 · Cited by 48 · see citing works
Determinants of EVs adoption: a study on green behavior of consumers
Dash, A. (2020) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-02-2019-0015 · Cited by 45 · see citing works
Students Perceptions, System Characteristics and Online Learning During the COVID-19 Epidemic School Disruption
Quadir, B., & Zhou, M. (2021) · International Journal of Distance Education Technologies · doi:10.4018/ijdet.20210401.oa1 · Cited by 43 · see citing works
Teachers’ intention to continue the use of online teaching tools post Covid-19
Bajaj, P., Khan, A., Tabash, M. I., & Anagreh, S. (2021) · Cogent Education · doi:10.1080/2331186x.2021.2002130 · Cited by 42 · see citing works
Examining Students’ Intention to Use Augmented Reality in a Project-Based Geometry Learning Environment
Mailizar, M., & Johar, R. (2021) · International Journal of Instruction · doi:10.29333/iji.2021.14243a · Cited by 41 · see citing works
The COVID-19 Pandemic and the Acceptance of E-Learning among University Students: The Role of Precipitating Events
Weerathunga, P. R., Samarathunga, W. H. M. S., Rathnayake, H. N., Agampodi, S. B., Nurunnabi, M., & Madhunimasha, M. M. S. C. (2021) · Education Sciences · doi:10.3390/educsci11080436 · Cited by 40 · see citing works
Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students
Alismaiel, O. A. (2021) · Sustainability · doi:10.3390/su132413565 · Cited by 40 · see citing works
Readiness for digital transformation of higher education in the Covid-19 context: The dataset of Vietnam's students
Pham, H., Tran, Q. N., La, G.-L., Doan, H.-M., & Vu, H. (2021) · Data in Brief · doi:10.1016/j.dib.2021.107482 · Cited by 37 · see citing works
The role of time in the acceptance of MOOCs among Chinese university students
Teo, T. P., & Dai, H. M. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1674889 · Cited by 35 · see citing works
Web-based videoconferencing for teaching online: Continuance intention to use in the post-COVID-19 period
Nikou, S. A. (2021) · Interaction design & architecture(s)/ID&A Interaction design & architecture(s) · doi:10.55612/s-5002-047-006 · Cited by 35 · see citing works
Factors affecting the behavioral intention of tourists on the use of bike sharing in tourism areas
Khajehshahkoohi, M., Davoodi, S. R., & Shaaban, K. S. (2021) · Research in Transportation Business & Management · doi:10.1016/j.rtbm.2021.100742 · Cited by 34 · see citing works
EMPIRICAL EXAMINATION OF MS TEAMS IN CONDUCTING WEBINAR: EVIDENCE FROM INTERNATIONAL ONLINE PROGRAM CONDUCTED IN OMAN
Khan, S. A., & Magd, H. A. E. (2021) · Journal of Content Community and Communication · doi:10.31620/jccc.12.21/13 · Cited by 32 · see citing works
Usefulness of Digital Serious Games in Engineering for Diverse Undergraduate Students
Cook-Chennault, K. A., Villanueva, I., & Jacob, G. (2022) · Education Sciences · doi:10.3390/educsci12010027 · Cited by 31 · see citing works
Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic
Almulla, M. A. (2022) · Sustainability · doi:10.3390/su14095455 · Cited by 31 · see citing works
E-Learning System Use During Emergency: An Empirical Study During the COVID-19 Pandemic
Alyoussef, I. Y. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.677753 · Cited by 29 · see citing works
A Comparison of Faculty and Student Acceptance Behavior toward Learning Management Systems
Kim, J. J., Yoon, Y., & Kim, E.-J. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168570 · Cited by 26 · see citing works
Medical teachers’ experience of emergency remote teaching during the COVID-19 pandemic: a cross-institutional study
Chan, E., Khong, M. L., Torda, A. J., Tanner, J. A., Velan, G. M., & Wong, G. T. C. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03367-x · Cited by 25 · see citing works
Impact of the COVID-19 pandemic on career intention amongst undergraduate medical students: a single-centre cross-sectional study conducted in Hubei Province
Wang, X., Liu, M., Peng, S., Yang, L., Lu, C., Shou, S.-C., Wang, J., Sun, J.-Y., Wang, J., Hu, Y., et al. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03201-4 · Cited by 23 · see citing works
Investigating university academics behavioural intention in the adoption of e-learning in a time of COVID-19
Jere, J. N. (2020) · South African journal of information management · doi:10.4102/sajim.v22i1.1280 · Cited by 22 · see citing works
An exploration of technology acceptance among nursing faculty teaching online for the first time at the onset of the COVID-19 pandemic
Nurse-Clarke, N. J., & Joseph, M. (2022) · Journal of Professional Nursing · doi:10.1016/j.profnurs.2022.04.002 · Cited by 22 · see citing works
Change of Processes in the COVID-19 Scenario: From Face-to-Face to Remote Teaching-Learning Systems
Gallego‐Gómez, C., De‐Pablos‐Heredero, C., & Botella, J. L. M. (2021) · Sustainability · doi:10.3390/su131910513 · Cited by 21 · see citing works
Technology acceptance by university lecturers: a reflection on the future of online and hybrid teaching
Weilage, C. E., & Stumpfegger, E. (2022) · On the Horizon The International Journal of Learning Futures · doi:10.1108/oth-09-2021-0110 · Cited by 21 · see citing works
The Effect of Perceived Risk and Technology Self-Efficacy on Online Learning Intention: An Empirical Study in Vietnam
Thuy, D. T. T. (2021) · Journal of Asian Finance Economics and Business · doi:10.13106/jafeb.2021.vol8.no10.0385 · Cited by 19 · see citing works
An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19
Shah, S. K., Tang, Z.-J., Sharif, S., & Tanveer, A. (2021) · Smart Learning Environments · doi:10.1186/s40561-021-00172-9 · Cited by 19 · see citing works
Facilitated virtual learning for advanced geriatric education among nursing students during the COVID pandemic in Taiwan
Hsieh, P., Yang, S., Lin, W., & Huang, T. (2022) · Library Hi Tech · doi:10.1108/lht-12-2021-0472 · Cited by 18 · see citing works
The Effects of Previous Experience and Self Efficacy on the Acceptance of e-Learning Platforms Among Younger Students in Saudi Arabia
Pratama, A. R., Sulaymani, O., Alshaikh, M., & Alammary, A. S. (2022) · Contemporary Educational Technology · doi:10.30935/cedtech/11524 · Cited by 18 · see citing works
Modelling Students’ Adoption of E-Learning During the COVID-19 Pandemic
Jamalova, M., & Bálint, C. (2022) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v17i07.29243 · Cited by 17 · see citing works
Behavioural intention to use a contact tracing application: the case of StopCovid in France
Shahidi, N., Tossan, V., Bourliataux-Lajoinie, S., & Cacho-Elizondo, S. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.102998 · Cited by 17 · see citing works
Digital Tools Acceptance in Open Distance Learning (ODL) among Computer Science Students during COVID-19 Pandemic: A Comparative Study
Raju, R., Noh, N. H. M., Ishak, S. N. H., & Eri, Z. D. (2021) · Asian Journal of University Education · doi:10.24191/ajue.v17i4.16194 · Cited by 17 · see citing works
Antecedents Influencing the Adoption of Collaborative Learning Social-Media Platforms Among Thai University Students During the Covid-19 ‘New Normal’ Era
Phuthong, T. (2021) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v16i13.18083 · Cited by 15 · see citing works
Longitudinal Analysis of Teacher Technology Acceptance and Its Relationship to Resource Viewing and Academic Performance of College Students during the COVID-19 Pandemic
Cobo-Rendon, R. C., Lobos, K., Mella-Norambuena, J., Cisternas, N., & Peña, F. (2021) · Sustainability · doi:10.3390/su132112167 · Cited by 15 · see citing works
Acceptance of E-Learning Among University Students During Covid-19 Crisis: Bangladesh Perspective
Tamal, M. A., Sarker, M. F. H., Islam, M. K., & Hossain, M. E. (2022) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v17i06.28033 · Cited by 15 · see citing works
Developing an educational framework for using mobile learning during the era of COVID-19
Alhumaid, K. F. (2021) · International Journal of Data and Network Science · doi:10.5267/j.ijdns.2021.6.012 · Cited by 15 · see citing works
A Check List for Evaluating Persuasive Features of Mathematics Courseware
Aris, B., Gharbaghi, A., Ahmad, M. H., & Rosli, M. S. (2013) · International Education Studies · doi:10.5539/ies.v6n9p125 · Cited by 15 · see citing works
Self-citation
Exploring Cloud Computing Readiness and Acceptance in Higher Education Institution: A PLS-SEM Approach
Noh, N. H. M., & Amron, M. T. (2021) · Asian Journal of University Education · doi:10.24191/ajue.v17i4.16193 · Cited by 14 · see citing works
An Analysis of the Relationship between University Students’ Views on Distance Education and their Computer Self-Efficacy
ŞENDOĞDU, A. A., & Koyuncuoğlu, Ö. (2021) · International Journal of Education in Mathematics Science and Technology · doi:10.46328/ijemst.1794 · Cited by 13 · see citing works
COVID-19 in Emerging Countries and Students’ Intention to Use Cloud Classroom: Evidence from Thailand
Chaveesuk, S., & Chaiyasoonthorn, W. (2022) · Education Research International · doi:10.1155/2022/6909120 · Cited by 13 · see citing works
Online Learning Acceptance Model during Covid-19: An Integrated Conceptual Model
Kharma, Q. M., Nairoukh, K., Hussein, A. H., Abualhaj, M. M., & Shambour, Q. Y. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120561 · Cited by 13 · see citing works
EMPIRICAL EXAMINATION OF THE ADOPTION OF ZOOM SOFTWARE DURING COVID-19 PANDEMIC: ZOOM TAM
Bhatt, S., & Shiva, A. (2020) · Cited by 12 · see citing works
Technological Acceptance of Virtual Platforms in University Students: An Analysis in Times of Pandemic
Romero-Sánchez, D., & Barrios, D. (2022) · IEEE Revista Iberoamericana de Tecnologias del Aprendizaje · doi:10.1109/rita.2022.3149782 · Cited by 12 · see citing works
Assessing the Acceptance of E-Learning via Technology Acceptance Model (TAM)
Mohamad, M. A., Amron, M. T., & Noh, N. H. M. (2021) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie52900.2021.9704019 · Cited by 12 · see citing works
Online intellectual transformation system
Rosli, M. S., Aris, B., & Ahmad, M. H. (2015) · Contemporary Engineering Sciences · doi:10.12988/ces.2015.412254 · Cited by 11 · see citing works
Self-citation
Technology readiness and acceptance model as a factor for the use intention of LMS e-Learning in Kuningan University
Yusuf, F., Mirantika, N., Syamfithriani, T. S., Darmawan, E., & Irawan, D. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1933/1/012005 · Cited by 11 · see citing works
Data on Vietnamese Students’ Acceptance of Using VCTs for Distance Learning during the COVID-19 Pandemic
Hòa, P. Đ., Nguyen, X.-A., Luong, D., Nguyen, H.-T., Vu, T.-P.-T., & Nguyen, T.-T.-T. (2020) · Data · doi:10.3390/data5030083 · Cited by 11 · see citing works
Technological acceptance of Moodle through latent variable modeling – a systematic mapping study
García-Murillo, G., Hernández, P. N., & Rodriǵuez, R. S. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1857786 · Cited by 10 · see citing works
Impact of Face-Recognition-Based Access Control System on College Students’ Sense of School Identity and Belonging During COVID-19 Pandemic
Wang, Q., Hou, L., Hong, J., Yang, X., & Zhang, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.808189 · Cited by 10 · see citing works
The Impact of Emotional Intelligence Competencies on Self-Esteem among Public Servants
Johar, S. S. (2019) · Indian Journal of Public Health Research & Development · doi:10.5958/0976-5506.2019.01524.9 · Cited by 7 · see citing works
Employing Technology Acceptance Model (TAM): An Analysis on Students’ Reception on Online Learning Platforms During Covid-19 Pandemic
Hernandez, R. (2021) · IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS) · doi:10.1109/i2cacis52118.2021.9495865 · Cited by 7 · see citing works
An Empirical Study on Adoption of ICT Tools by Students in Higher Educational Institutions
Yadav, S., Gupta, P., & Sharma, A. (2021) · International Conference on Innovative Practices in Technology and Management (ICIPTM) · doi:10.1109/iciptm52218.2021.9388341 · Cited by 6 · see citing works
Understanding E-Learning Acceptance of Gen Z Students: An Extension of the Technology Acceptance Model (TAM)
Motamedi, S., Marquis, K., & Levine, H. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--37956 · Cited by 6 · see citing works
Understanding Students’ Intention to Use Mobile Learning at Universitas Negeri Semarang: An Alternative Learning from Home During Covid-19 Pandemic
Ismiyati, I., Kartowagiran, B., Muhyadi, M., Sholikah, M., Suparno, S., & Tusyanah, T. (2021) · Journal of Educational Cultural and Psychological Studies (ECPS Journal) · doi:10.7358/ecps-2021-023-ismi · Cited by 6 · see citing works
Measuring Students’ Intention to Use E-Learning During Covid-19 Pandemic: A Case Study in Technical College of Management – Baghdad
Ibrahim, M. F. (2021) · International journal of intelligent engineering and systems · doi:10.22266/ijies2021.1031.43 · Cited by 5 · see citing works
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 · see citing works
Analysist Acceptance of Video Conference at Zoom Application using Technology Acceptance Model
Djojo, B. W., Hafizh, W., Gui, A., Shaharudin, M. S., Karmawan, I. G. M., & Suryanto (2021) · International Conference on Information Technology, Computer, and Electrical Engineering · doi:10.1109/icitacee53184.2021.9617485 · Cited by 5 · see citing works
COVID-19 fears and e-learning platforms acceptance among Jordanian university students
Majali, T., Al-kyid, K., Alhassan, I., Barakat, S., & Almajali, R. (2022) · International Journal of Data and Network Science · doi:10.5267/j.ijdns.2022.2.006 · Cited by 5 · see citing works
Technological acceptance of Google Drive as E-learning Tool
López, M. F. B., & Virto, N. R. (2020) · doi:10.1145/3429630.3429636 · Cited by 4 · see citing works
Examining the Actual System Use of CodePolitan’ Consumers During the COVID-19 Pandemic Using TAM
Marpaung, J. F., Yasirandi, R., & Makky, M. A. (2021) · doi:10.1109/icsecs52883.2021.00024 · Cited by 4 · see citing works
EFL Students’ Interpretations of E-Learning during COVID-19 using GETAMEL: Indonesian Higher Education Context
Yulianto, D., Setyaningsih, E., & Sumardi, S. (2021) · Register Journal · doi:10.18326/rgt.v14i2.203-224 · Cited by 4 · see citing works
Collaborative tools web 3.0 in the teaching of mathematics in times of Covid 19 pandemic
Morocho-Lara, D., Ramos, D. P. M., Chusín, H. M. N., & Pazmiño, S. J. I. (2022) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon52537.2022.9766786 · Cited by 4 · see citing works
The Continuous Intention to E-learning System Adoption of Students in the Covid-19 Pandemic: The combination of TAM and TTF theory
Oanh, L. T. K., Thảo, N. T. P., & Khoa, B. T. (2022) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa54658.2022.9765269 · Cited by 3 · see citing works
Teacher's acceptance of online education platform into foreign language teaching in Chinese higher education
Lee, H.-I., Lin, T.-Y., Wang, Z., Li, S., & Chiu, S.-H. (2021) · International Conference on e-Education, e-Business, e-Management and e-Learning · doi:10.1145/3450148.3450169 · Cited by 3 · see citing works
Factors Affecting the Students’ Re-Use of the Electronic Learning System (ELS)
Bautista, R., Jeong, L. S., Saavedra, C. M. C., & Sy-Changco, J. (2021) · Asia-Pacific social science review · doi:10.59588/2350-8329.1385 · Cited by 3 · see citing works
Factors Influencing E-learning System Success During COVID-19 Pandemic (Case Study: Faculty of Computer Science, Universitas Indonesia)
Nadir, R. D. A., Athaya, H., Sensuse, D. I., Kautsarina, K., & Suryono, R. R. (2021) · International Conference on Advanced Computer Science and Information Systems · doi:10.1109/icacsis53237.2021.9631313 · Cited by 3 · see citing works
Investigating Multi-Channel Learning Adoption on Higher Education Students
Prabowo, R., Pratama, F. C., Arimbawa, P. A. P., & Shanti, M. (2021) · doi:10.1109/icet53279.2021.9575118 · Cited by 2 · see citing works
User Satisfaction Analysis Model of Google Classroom for Online Lectures in COVID-19 Pandemic
Syafi’ah, N., Nambo, H., & Tahyudin, I. (2021) · International Conference on Information and Communications Technology (ICOIACT) · doi:10.1109/icoiact53268.2021.9564008 · Cited by 2 · see citing works
Give Them Grace: An Autoethnographic Study on Instructors’ Adaptation to Online Technology in Education as a Result of COVID-19
Jurkiewicz, J., Hempel, B., Redman, M., Murzi, H., Dominguez, C., & Ford, A. (2024) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--37225 · Cited by 1 · see citing works
The Factors Affecting Students' Intention to Use Social Networks as an Educational Facilitation Tool in the Covid-19 Pandemic Age
Heidari, H., & Baserisalehi, N. (2021) · International and National Conference on E-Learning and E-Teaching (ICeLeT) · doi:10.1109/icelet202153025.2021.9712611 · Cited by 1 · see citing works
The Impact of COVID-19 Crisis upon the Effectiveness of E-learning in Higher Education Institution
Osman, S., Ustadi, M. N., Kamar, H. K. Z., Johari, N. H., & Ismail, N. ‘. (2021) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.22059/jitm.2021.83235 · Cited by 1 · see citing works

Flagged first, then by citations

8 of the 168 references couldn’t be matched to a known paper.

Research works printed but not linked: 6

Hwang, J.; Hwang, J.S.; Lee, H.J. A review of diffusion for the smart devices based on technology acceptance model. ICIC Express Lett. 2016, 7, 11.
Fishbein, M.; Ajzen, I. Predicting and Changing Behavior: The Reasoned Action Approach; Psychology Press: London, UK, 2009; ISBN 9780805859249.
Kamri, K.A.; Isa, K.; Yahya, A.; Ahmad, A.R.; Md Yusoff, R. Factors influencing alumni donations at Malaysian public universities. In Proceedings of the 28th International Business Information Management Association Conference-Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth, Seville, Spain, 9-10 September 2016; pp. 278-286. Available online: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013948484&partnerID=40&md5=bfc11d749aade7 7d33ae541dce29ab0c (accessed on 15 June 2022).
Azhar, N.C.; Napitupulu, T.A. Factors affecting the effectiveness of on-line learning in higher education. World Trans. Eng. Technol. Educ. 2022, 20, 60-65.
Lebbe, A.; Shameem, M.A.; Buhary, M.; Sanjeetha, F. M-Learning Systems Usage: A Perspective from Students of Higher Educational Institutions in Sri Lanka. J. Asian Financ. 2021, 8, 637-0645. [CrossRef] · DOI
Masilo, G.; Simelane-Mnisi, S.; Mji, A.; Mokgobu, I. Students' behavioural intention and challenges to bring your own device (BYOD) in higher education during COVID-19 and beyond. World Trans. Eng. Technol. Educ. 2021, 19, 10-15. 110.

Sorted by citations

Modeling teachers’ acceptance of generative artificial intelligence use in higher education: the role of AI literacy, intelligent TPACK, and perceived trust
Al-Abdullatif, A. M. (2024) · Education Sciences · doi:10.3390/educsci14111209 · Cited by 169 · see citing works
Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care
Witkowski, K. G. K., Okhai, R., & Neely, S. R. (2024) · BMC Medical Ethics · doi:10.1186/s12910-024-01066-4 · Cited by 165 · see citing works
The Next-Generation Shopper: A Study of Generation-Z Perceptions of AI in Online Shopping
Bunea, O.-I., Corboș, R.-A., Mișu, S. I., Triculescu, M., & Trifu, A. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19040125 · Cited by 66 · see citing works
Rethinking the importance of social norms in generative AI adoption: investigating the acceptance and use of generative AI among higher education students
Ursavaş, Ö. F., Yalçın, Y., İslamoğlu, H., Bakır-Yalçın, E., & Cukurova, M. (2025) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-025-00535-z · Cited by 69 · see citing works
Factors Determining the Acceptance of E-Wallet among Gen Z from the Lens of the Extended Technology Acceptance Model
Rosli, M. S., Saleh, N. S., Ali, A. M., & Bakar, S. A. (2023) · Sustainability · doi:10.3390/su15075752 · Cited by 80 · see citing works
Self-citation
Social influence, performance expectancy, and price value as determinants of telemedicine services acceptance in Chile
Vidal-Silva, C. L., Sánchez-Ortíz, A., Serrano, J. C., Arriagada, V., Flores, M., Godoy, M., & Vargas, C. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e27067 · Cited by 64 · see citing works
Self-Determination Theory and Online Learning in University: Advancements, Future Direction and Research Gaps
Rosli, M. S., Saleh, N. S., Ali, A. M., & Bakar, S. A. (2022) · Sustainability · doi:10.3390/su142114655 · Cited by 47 · see citing works
Self-citation
Students’ acceptance of e-learning: extending the technology acceptance model with self-regulated learning and affinity for technology
Barz, N., Benick, M., Dörrenbächer‐Ulrich, L., & Perels, F. (2024) · Discover Education · doi:10.1007/s44217-024-00195-7 · Cited by 40 · see citing works
Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach
Mohamed, M. G., Göktaş, P., Khalaf, S. A., Küçükkaya, A., Al‐Faouri, I., seleem, E. A. E. S., Ibraheem, A., Abdelhafez, A. M., Abdullah, S. O., Zaki, H. N., et al. (2025) · BMC Nursing · doi:10.1186/s12912-025-03436-8 · Cited by 44 · see citing works
Navigating Technology Adoption/Acceptance Models
Taherdoost, H., Mohamed, N. A., & Madanchian, M. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.05.172 · Cited by 44 · see citing works
Perceived compatibility and students’ intention to adopt digital technologies in Islamic education institutions
Abubakari, M. S., Zakaria, G. A. N., & Musa, J. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2430869 · Cited by 30 · see citing works
Technology Acceptance Model in Artificial Intelligence in Education: A Meta-Analysis
Xue, L., Mahat, J., & Ghazali, N. (2026) · SAGE Open · doi:10.1177/21582440251409441 · Cited by 61 · see citing works
University Educators Perspectives on ChatGPT: A Technology Acceptance Model-Based Study
Barakat, M. M., Salim, N. A., & Sallam, M. (2025) · Open Praxis · doi:10.55982/openpraxis.17.1.718 · Cited by 45 · see citing works
Can rule-based educational chatbots be an acceptable alternative for students in higher education?
Güldal, H., & Dinçer, E. O. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12977-5 · Cited by 27 · see citing works
Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization
Huang, J., & Mizumoto, A. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100302 · Cited by 31 · see citing works
Digital transformation in emerging markets: the role of technology adoption and innovative marketing strategies among SMEs in the post – pandemic era
Jibril, A. B., Amoah, J. O., Panigrahi, R. R., & Gochhait, S. (2024) · International journal of organizational analysis · doi:10.1108/ijoa-05-2024-4509 · Cited by 35 · see citing works
Clinical 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 24 · see citing works
Modeling teacher education students’ adoption of large language models through an extended technology acceptance framework
Gong, Y., Xu, C., Luo, S., & Lin, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-03298-9 · Cited by 26 · see citing works
Determinants of Continuous Usage Intention in Community Group Buying Platform in China: Based on the Information System Success Model and the Expanded Technology Acceptance Model
Song, Y., Gui, L., Wang, H., & Yang, Y. (2023) · Behavioral Sciences · doi:10.3390/bs13110941 · Cited by 18 · see citing works
Sustainable digital communication using perceived enjoyment with a technology acceptance model within higher education, in Jordan
Aldreabi, 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 · see citing works
CLOUD TECHNOLOGIES IN EDUCATION: THE BIBLIOGRAPHIC REVIEW
Yurchenko, A. O., Розуменко, А. О., Розуменко, А., Момот, Р., & Семеніхіна, О. В. (2023) · Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska · doi:10.35784/iapgos.4421 · Cited by 18 · see citing works
Determining factors affecting Filipino consumers’ behavioral intention to use cloud storage services: An extended technology acceptance model integrating valence framework
Altes, G. C., Ong, A. K. S., & German, J. D. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26447 · Cited by 17 · see citing works
Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy
Singh, V. V., Kumar, N., Singh, S., Kaul, M., Gupta, A., & Kapur, P. K. (2024) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-024-02411-x · Cited by 18 · see citing works
Educational System Resilience during the COVID-19 Pandemic—Review and Perspective
AlQashouti, N., Yaqot, M., Franzoi, R. E., & Menezes, B. C. (2023) · Education Sciences · doi:10.3390/educsci13090902 · Cited by 15 · see citing works
Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
Rosli, M. S., & Saleh, N. S. (2024) · SN Computer Science · doi:10.1007/s42979-024-03015-9 · Cited by 20 · see citing works
Self-citation
Dataset on technology acceptance in E-learning: A PLS-SEM analysis using extended TAM among undergraduate students in Indonesia
Sasongko, A. T., Ekhsan, M., & Fatchan, M. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100192 · Cited by 28 · see citing works
Understanding mobile learning acceptance among university students with special needs: An exploration through the lens of self‐determination theory
Şahin, F., & Yıldız, G. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12986 · Cited by 14 · see citing works
The Influence of Perceived Anthropomorphism and Social Presence on AI Interface User Experience: A Systematic Review
Williams, B. A. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2575897 · Cited by 12 · see citing works
Primary teachers’ acceptance and sustained adoption of AI powered learner corpora for writing instruction through TAM and ECM perspectives
Zhang, N., Wong, W. L., & Barrot, J. S. (2025) · Scientific Reports · doi:10.1038/s41598-025-21205-0 · Cited by 19 · see citing works
Patterns of ChatGPT Usage and Perceived Benefits on Academic Performance Across Disciplines: Insights from a Survey of Higher Education Students in the United States
Onal, S., Kulavuz‐Onal, D., & Childers, M. (2025) · Journal of Educational Technology Systems · doi:10.1177/00472395251341214 · Cited by 17 · see citing works
Factors Affecting Accountants’ Adoption of Remote Working: Evidence from Jordanian Governmental Organizations
Odat, Q. A., Alshurafat, H., Shbail, M. O. A., Ananzeh, H., & Amosh, H. A. A. (2023) · Sustainability · doi:10.3390/su151713224 · Cited by 13 · see citing works
Ageing in the digital age: What drives virtual reality technology adoption among older adults?
Man, S. S., Wang, J., Chan, A. H. S., & Liu, L. (2026) · Ergonomics · doi:10.1080/00140139.2025.2473685 · Cited by 11 · see citing works
Perceived Usefulness of a Mandatory Information System
Fridkin, S., Greenstein, G., Cohen, A., & Damari, A. (2024) · Applied Sciences · doi:10.3390/app14167413 · Cited by 18 · see citing works
From flow experience determinants to user behavior: A study on online food ordering platforms via mobile applications
Duy, N. B. P., Nguyen, V. T.-T., & Khoa, B. T. (2025) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2025.100551 · Cited by 17 · see citing works
The Impact of Perfectionism, Self-Efficacy, Academic Stress, and Workload on Academic Fatigue and Learning Achievement: Indonesian Perspectives
Hendra, R., Habibi, A., Ridwan, A., Sembiring, D. A. E. P., Wijaya, T. T., Denmar, D., & Widana, I. W. (2025) · Open Education Studies · doi:10.1515/edu-2025-0071 · Cited by 29 · see citing works
Resisting digital change at the university: an exploration into triggers and organisational countermeasures
Deacon, B., Laufer, M., Mende, M. A., Tschache, T., & Schäfer, L. O. (2025) · European Journal of Higher Education · doi:10.1080/21568235.2025.2512735 · Cited by 16 · see citing works
Perspectives of University Educators Regarding ChatGPT: A Validation Study Based on the Technology Acceptance ModelPreprint
Barakat, M. M., Salim, N. A., & Sallam, M. (2024) · Research Square · doi:10.21203/rs.3.rs-3919524/v1 · Cited by 10 · see citing works
Language learning apps for visually impaired users: a systematic review
Robles, H., Pérez, A., Villalba, K., Delgado-Cañas, M. C., Villanueva, E., Keogh, C., & Jimeno, M. (2023) · Research and Practice in Technology Enhanced Learning · doi:10.58459/rptel.2024.19012 · Cited by 9 · see citing works
Understanding perceived learning and the role of digital self-efficacy in generative AI adoption among STEM and non-STEM students
Paredes-Aguirre, M., Bolaños-Mendoza, C., Ortíz-Rojas, M., Martinez-Tovar, J., Sanchez-Mendoza, M., & Moreno-Abramowicz, M. (2026) · Cogent Education · doi:10.1080/2331186x.2026.2614093 · Cited by 12 · see citing works
Gamification acceptance model towards online learning among college students: an empirical study based on mediation and moderation
Huang, S., & Zhang, H. (2024) · Asian Education and Development Studies · doi:10.1108/aeds-11-2023-0152 · Cited by 12 · see citing works
Could virtual reality be the next approach for international students learning Maltese?
Żammit, J. (2024) · Educational Technology Research and Development · doi:10.1007/s11423-024-10375-9 · Cited by 8 · see citing works
Exploring the Factors Influencing Artificial Intelligence Adoption among Gen Z University Students: the Role of Self-Efficacy and Perceived Trust
Rosli, M. S., Saleh, N. S., Ali, A. M., & Bakar, S. A. (2026) · Journal for STEM Education Research · doi:10.1007/s41979-025-00171-2 · Cited by 7 · see citing works
Self-citation
Empowering University Lecturers in the Digital Age: Exploring the Factors Influencing the Use of Digital Technologies in Higher Education
Azanza, G., Korres, O., Paños-Castro, J., & Petchamé, J. (2024) · Education Sciences · doi:10.3390/educsci14070728 · Cited by 9 · see citing works
Psychological drivers shaping mobile learning utilization among visually impaired university students
Şahin, F. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13430-x · Cited by 6 · see citing works
Embracing the Metaverse: User perception and acceptance of the Metaverse in education
Baudier, P., de Vassoigne, T., Arami, M., Delannoy, A., & Germon, R. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108804 · Cited by 9 · see citing works
Wine growers’ propensity to adopt digital precision farming technologies: integrating risk attitudes to the Technology Acceptance Model
Biondo, A., Rizzo, G., Migliore, G., & Galati, A. (2025) · Research in Globalization · doi:10.1016/j.resglo.2025.100298 · Cited by 5 · see citing works
Decoding Acceptance through Technology Acceptance Model: A Descriptive Study of ChatGPT Usage Across Academic Disciplines
Remegio, F. M. C., & Asahid-Cheng, R. (2024) · International Conference on Educational Technology (ICET) · doi:10.1109/icet62460.2024.10868886 · Cited by 6 · see citing works
Students’ technology acceptance of computer-based applications for analyzing animal behavior in an out-of-school lab
Henrich, M., Formella-Zimmermann, S., Gübert, J., & Dierkes, P. W. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1216318 · Cited by 5 · see citing works
Digital Literacy and Growth Mindset to Predict Technology Acceptance During Learning Processes
Suryawidjaja, V. (2023) · PSIKODIMENSIA · doi:10.24167/psidim.v22i1.4937 · Cited by 5 · see citing works
Reintegrating Human Attitudes in the Acceptance of AI-Driven Technology in HR Across Diverse User Interactions
Schittko, M., Mara, M., & Stiglbauer, B. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2549076 · Cited by 4 · see citing works
Stress and Mental Health Among School Principals: A Scoping Review
Tahir, L. M., Yunus, W. M. A. W. M., & Rosli, M. S. (2025) · School Mental Health · doi:10.1007/s12310-025-09825-3 · Cited by 6 · see citing works
Self-citation
An overview of technology acceptance and adoption models in the aftermath of COVID-19
Anjum, A. (2023) · Indian Journal of Commerce & Management Studies · doi:10.18843/ijcms/v14i1/01 · Cited by 4 · see citing works
Profiling and Predicting Faculty Assessment Behavior in Surgical Education
Patel, R. K., Jenkins, P. D., Lee, E., Nitzkorski, J. R., Seshadri, R. M., Rhee, R., Cook, M. R., Shelton, J., Doberne, J., Jesneck, J. L., et al. (2025) · Journal of surgical education · doi:10.1016/j.jsurg.2025.103737 · Cited by 3 · see citing works
The Twin Transition in Higher Education: Bibliometric Insights Into Digital and Green Convergence
Bulut, A., & Haçat, S. O. (2026) · European Journal of Education · doi:10.1111/ejed.70526 · Cited by 5 · see citing works
Unpacking the Drivers of AI Technology Acceptance
Sebetçi, Ö. (2025) · Journal of Computer Information Systems · doi:10.1080/08874417.2025.2564439 · Cited by 3 · see citing works
Elearning adoption among millennials: behavioural intentions and the extended UTAUT model
Hasan, A., Raghuwanshi, S., Harsora, H., Kumar, P., Gupta, V., & Singh, A. S. (2025) · Discover Education · doi:10.1007/s44217-025-00813-y · Cited by 5 · see citing works
Acceptance of Technological Innovations in Emergency Departments
Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2026) · doi:10.20944/preprints202603.1940.v1 · Cited by 2 · see citing works
Assessing the Usability and User Acceptance of an E-Commerce Application Through a Combined SUMI and TAM Framework
Immanuel, J., & Thoyyibah, T. (2025) · International Conference on Advances in Electrical, Electronics and Computing Technology (EECT) · doi:10.1109/eect64505.2025.10966960 · Cited by 2 · see citing works
Drivers and Moderators of Social Media-Enabled Cooperative Learning in Design Education: An Extended TAM Perspective from Chinese Students
Xia, T., Wu, Y., & Chen, Y. (2025) · Behavioral Sciences · doi:10.3390/bs15070886 · Cited by 2 · see citing works
Students’ Acceptance of Learning Management Systems at the Peak of Covid-19 Pandemic by Employing a Modified Technology Acceptance Model
Koi-Akrofi, G. Y., Aboagye-Darko, D., Nyame, J. Y., Gaisie, E., & Danquah, I. O. (2023) · Indian Journal of Science and Technology · doi:10.17485/ijst/v16i14.2451 · Cited by 2 · see citing works
Understanding the Stress of Online Learning Among University Students
Rosli, M. S., Saleh, N. S., Ali, A. M., Bakar, S. A., Alshammarı, S. H., & Johar, S. S. (2023) · IEEE International Conference on Engineering Education (ICEED) · doi:10.1109/iceed59801.2023.10264005 · Cited by 2 · see citing works
Self-citation
COVID‐19 pandemic as a crisis for higher education institutions? Challenges and turning points based on teachers' perspectives
Schütte, P. M., Kretschmer, S., & der Sypt, G. V. (2024) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12566 · Cited by 2 · see citing works
Enhancing Student Satisfaction With Blended Learning Among Thai Higher Education Students
Siripipatthanakul, S., Limna, P., Phuangsuwan, P., & Siripipattanakul, S. (2024) · Advances in higher education and professional development book series · doi:10.4018/979-8-3693-6915-9.ch012 · Cited by 2 · see citing works
Analysis of Factors Affecting the Acceptance of Maternal and Child Health Monitoring (Stunting) Applications in Suburban Areas Using a Modified Technology Acceptance Model (TAM): A Case Study in Sukabumi Regency
Mascarenhas, S. R., Fauzi, R., & Febriyani, W. (2024) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco62848.2024.10928185 · Cited by 2 · see citing works
Generative AI Scaffolding in Physics Education: A Phenomenological Analysis of Its Role and Implications in STEM Learning
Torralba, E. M. (2025) · Schrödinger Journal of Physics Education · doi:10.37251/sjpe.v6i3.2031 · Cited by 2 · see citing works
Percepciones de maestros en prácticas sobre aceptación de tecnologías móviles en procesos de enseñanza-aprendizaje. Un estudio de caso
Mariscal, D. C. (2024) · RELATEC Revista Latinoamericana de Tecnología Educativa · doi:10.17398/1695-288x.23.1.81 · Cited by 2 · see citing works
Mapping Fifteen Years of Technological Pedagogical and Content Knowledge (TPACK) Model Applications in Higher EducationPreprint
Zou, R., Jiang, L., Cao, Y., Muthukrishnan, P., Fauzi, M. A., & Zhang, H. (2024) · Research Square · doi:10.21203/rs.3.rs-5400076/v1 · Cited by 2 · see citing works
The framework for enhancing mathematical higher order thinking skills using technology enhanced learning environment and learning analytics
Rosli, M. S., Saleh, N. S., Ali, A. M., Bakar, S. A., & Isa, K. (2024) · AIP conference proceedings · doi:10.1063/5.0195068 · Cited by 1 · see citing works
Self-citation
Factors influencing undergraduate students’ engagement in online learning: a PLS-SEM approach
Abdullah, M. N. L. Y., Hsien, O. L., Nagaratnam, S., & Leong, H. J. (2024) · Learning Research and Practice · doi:10.1080/23735082.2024.2348997 · Cited by 2 · see citing works
From the perspective of the theory of planned behavior: how perceived school support and digital teaching efficacy influence digital teaching behavior
Chen, L., Chang, Y.-L., Cheng, L., & Yang, J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13703-5 · Cited by 1 · see citing works
Sustainable Approaches in Professional Higher Education: The Role of Distance Learning, Integrity of Teaching Methodology, and Classroom Innovation
Bekešienė, S., Smaliukienė, R., & Vasiliauskas, A. V. (2025) · Sustainability · doi:10.3390/su17209151 · Cited by 2 · see citing works
Bridging the Digital Skill Gap: ICT-Driven Inclusion, Technology-Enabled Learning, and Organizational Justice in Indonesia’s Digital Workforce
Amirudin, L. R. (2025) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis68501.2025.11327101 · Cited by 1 · see citing works
Behavioural and institutional drivers of green technology adoption: an extended technology acceptance model for sustainability transitions
Mariscal, G., Cáceres-Tello, J., & Galán-Hernández, J. J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1723942 · Cited by 1 · see citing works
Teachers’ preparedness, attitudes, and perceived impact of technology use in lesson delivery in selected Zimbabwean schools
Mbona, S. V., Muchakubvura, D., Zunga, L., & Msosa, S. K. (2026) · Education and Information Technologies · doi:10.1007/s10639-026-13982-6 · Cited by 1 · see citing works
Extending the Technology Acceptance Model to a Circular Economy Context: A Study of Hungary's REpont Deposit‐Refund System
Ráti, J., & Maró, Z. M. (2026) · Business Strategy and the Environment · doi:10.1002/bse.70998 · Cited by 1 · see citing works
Modelo matemático de aceptación de la tecnología centrado en el uso de Google Classroom
Ibarra, Q. A., González, S. H., & Carranza, M. T. D. L. G. (2022) · REVISTA CIENCIAS PEDAGÓGICAS E INNOVACIÓN · doi:10.26423/rcpi.v10i2.595 · Cited by 1 · see citing works
Perception of Peruvian Students Studying in Biological Sciences about the Advantages of Virtual Classes during the COVID-19 Pandemic
Bazán-Ramírez, A., Luque, W. C., Ango-Aguilar, H., Anaya-González, R. B., & Cárdenas-López, V. (2023) · Education Sciences · doi:10.3390/educsci13060626 · Cited by 1 · see citing works
Intention to Use Internet of Things Among Future Accountants: Analysis Using the Technology Acceptance Model
Jasmani, N. S., Shuhidan, S. M., & Awang, Y. (2024) · Advances in Social Sciences Research Journal · doi:10.14738/assrj.116.17150 · Cited by 1 · see citing works
Percepción y Aceptación del B-Learning en Matemáticas para Ingeniería por Estudiantes: Un Enfoque Basado en TAM
Trejo-Trejo, E., & Trejo-Trejo, N. (2024) · REVISTA EDUSER · doi:10.18050/eduser.v11n1a6 · Cited by 1 · see citing works
EFFECT OF TAM AND ATTITUDES TOWARD ADVERTISING ON INTENTION TO USE QRIS
Affifatusholihah, L., Fadhilah, & Lusianingrum, F. P. W. (2022) · Management Science Research Journal · doi:10.56548/msr.v1i2.26 · Cited by 1 · see citing works
Implications of Flexible Learning to Politics and Economics of Educational Management
Salvador, J. (2022) · JPAIR Institutional Research · doi:10.7719/irj.v19i1.839
Sustainable Health Education Simulator Using Open-Source Technology
Díaz, P. O., Orellana-Cortés, A., Segura, H., Vidal-Silva, C. L., Sánchez-Ortíz, A., & Serrano, J. C. (2023) · Sustainability · doi:10.3390/su151612340
Adopción del b-learning en la enseñanza de las matemáticas para ingenieros: Validación de un modelo de aceptación
Trejo-Trejo, E., & Trejo-Trejo, N. (2024) · INNOVA Research Journal · doi:10.33890/innova.v9.n2.2024.2486
Unlocking the power of co-collaboration: the impact of educator involvement in educational technology development
Pomerleau, K. A. M. (2024) · doi:10.17760/d20659795
Acceptance Of Accounting Information Systems For Non-Profit Organizations
Permatasari, C. L., & Luhsasi, D. I. (2024) · Jurnal Akuntansi · doi:10.24912/ja.v28i3.2162
IMPLEMENTASI LEARNING MANAGEMENT SYSTEM (LMS) DI LINGKUNGAN PENDIDIKAN TINGGI
Ningsih, S., Suhardi, M., Sari, I. W. P., Wulan, D. S., Fadillah, M., & Amalia, N. (2025) · EDUTECH Jurnal Inovasi Pendidikan Berbantuan Teknologi · doi:10.51878/edutech.v5i2.6370
Additional file 1 of Public perceptions of artificial intelligence in healthcare: ethical concerns and opportunities for patient-centered care
Witkowski, K. G. K., Okhai, R., & Neely, S. R. (2024) · Figshare · doi:10.6084/m9.figshare.26737857
Determinants of blockchain adoption for supply chain tracking in Malaysia’s medical device industry
Naji, G. M. A., Savita, K. S., Azzura, N., & Iskandar, Y. H. P. (2025) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-04-2025-0172
Factors Influencing Perceived Ease of Use and Usefulness of BIM Tools
Işıkdağ, Ü., Aydın, Y., Bekdaş, G., & Underwood, J. (2025) · Buildings · doi:10.3390/buildings16010106
DEEPSEEK FOR ACADEMIC WRITING: ODL TERTIARY STUDENTS’ ACCEPTANCE THROUGH THE TECHNOLOGY ACCEPTANCE MODEL (TAM)
Ash’ari, N. A. N., & Mohamad, M. B. (2025) · International Journal of Education Psychology and Counseling · doi:10.35631/ijepc.1061089
Understanding Congolese Students’ Behavioural Intentions Toward Learning Management Systems: An Extended TAM Approach
Kalumendo, R., Vagheni, P., Pierre, N. M., & Rufin, T. T. (2026) · Journal of Applied Research in Technology & Engineering · doi:10.4995/jarte.2026.25061
Exploring Perceived Usefulness and Ease of Use in VR Learning Systems: A Technology Acceptance Perspective
Tahir, N. A., Hussien, N. S., Masmuzidin, M. Z., & Awang, N. B. (2026) · International Conference on Ubiquitous Information Management and Communication (IMCOM) · doi:10.1109/imcom69009.2026.11360827
Penerimaan Sistem Peringatan Dini Tsunami oleh Masyarakat Pesisir Melalui Integrasi Variabel Kontekstual dalam Model TAM
Prabowo, A. S., Prihantara, A., Rahadi, N. W., & Bahroni, I. (2026) · Blend Sains Jurnal Teknik · doi:10.56211/blendsains.v4i3.1374
Mapping Global Research Trends on E-Learning Adoption: A Bibliometric and Systematic Review of Technology Acceptance Models in Higher Education
Alfian, A. N., Sutanto, H., & Somantri, M. (2025) · International Conference on Emerging Trends in Information Systems and Informatics (ICETISI) · doi:10.1109/icetisi67983.2025.11405885
Adoption-Weighted Technology Function Matrix for Big Data Patent Analytics in Smart Elderly Care
Govindarajan, U. H., Gui, Q., Narang, G., & Galdelli, A. (2025) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata66926.2025.11402607
Technology acceptance and enacted knowledge sharing on social media among university teachers in Shanghai
Liu, H., Omar, S. Z., Al-Khamaiseh, R. A. M., & Bailey, R. P. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1800755
Yükseköğretim Düzeyinde Hibrit Turizm Eğitimi Alan Öğrencilerin Teknoloji Kabul Modeli Açısından Değerlendirilmesi
Ören, T. Ş., & Ören, V. E. (2026) · Yuksekogretim Dergisi · doi:10.53478/yuksekogretim.1623662
Parental acceptance and support in informal digital learning of English: a technology acceptance model study
Liu, X., & Ding, S. L. (2026) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2026.2655359
Digital vs. Face-to-Face learning in Accounting education: Analyzing student preferences and academic outcomes in an Eastern Cape University
Makhoba, T. I., Makena, B., Marongwe, N., & Lukman, Y. (2026) · Journal of Education and Learning Technology · doi:10.38159/jelt.2026732
Investigating technology, language, and institutional context: the moderating role of public university environments among Bangladeshi graduates
Rahman, M. M., & Joof, F. (2026) · Discover Education · doi:10.1007/s44217-026-01507-9

TECHNOLOGY ACCEPTANCE MODELS AND REMOTE TEACHING DURING THE COVID-19 PANDEMIC: A SYSTEMATIC REVIEW OF THE LITERATURE
GAMA, F. D. C., Frogeri, R. F., Piurcosky, F. P., & Júnior, P. D. S. P. (2022) · CONTECSI - International Conference on Information Systems and Technology Management · doi:10.5748/18contecsi/pse/spe/6758 · Cited by 1 · see citing works
A Decade of UTAUT in Education: A PRISMA 2020 Systematic Review of Technology Acceptance Studies (2015–2025)
Widayoko, A., Trihantoyo, S., & Hariyati, N. (2026) · AL-ISHLAH Jurnal Pendidikan · doi:10.35445/alishlah.v18i1.9160 · Cited by 1 · see citing works
A Meta-Analysis of Technology Integration in Higher Education: Comparative Trends from Africa and Asia
Olaniyan, O. A. (2026) · Tampere University Institutional Repository (Tampere University)
Expanding the Technology Acceptance Model (TAM) to investigate e-learning usage behavior during the COVID-19 pandemic: Islamic Higher Education Institution (IHEI) context
Haris, A., Asnawi, N., & Fanani, M. A. (2022) · Research Repository Universitas Islam Negeri Maulana Malik Ibrahim (University of Southampton)
Online Learning Acceptance Model of Indonesian Students During the COVID-19 Pandemic
Saputra, F. E., Makhrian, A., & Grahatama, B. S. (2023) · KnE Social Sciences · doi:10.18502/kss.v8i2.12764 · Cited by 2 · see citing works

Authors: Rosli, M. S., Saleh, N. S., Md. Ali, A., Abu Bakar, S., & Mohd Tahir, L.
Affiliations: University of Technology Malaysia (MY)
Tun Hussein Onn University of Malaysia (MY)
School of Human Resource Development and Psychology, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Corresponding author: Rosli, Mohd Shafie
ORCID: Rosli, Mohd Shafie
Saleh, Nor Shela
Venue: Sustainability
Publisher: MDPI AG
Published: 2022-09-10
Volume: 14
Issue: 18
Pages: 11389
ISSN: 2071-1050 (ISSN-L)
DOI: 10.3390/su141811389
OpenAlex: W4295408927
Cited by: 126
References: 168
Citations by year: 2026: 42 · 2025: 32 · 2024: 34 · 2023: 14 · 2022: 4
FWCI: 3.37
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Sustainability (publishedVersion, cc-by)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Ministry of Higher Education and Universiti Teknologi Malaysia (Q.J130000.2553.21H23)
Universiti Teknologi Malaysia (Q.J130000.2553.21H23)
Topics: Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Physical Sciences › Computer Science › Information Systems › Educational Innovations and Technology
Social Sciences › Education › Education during COVID-19 pandemic
Keywords: technology acceptance model, higher education, COVID-19 pandemic, sustainability of higher education, research trends, research gaps, self-efficacy, subjective norms, technology adoption, student technology use, 5G, artificial intelligence in education, cloud computing, augmented reality, virtual reality, Bring Your Own Device, university employees

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks