The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Impact of media richness and flow on e-learning technology acceptance
Overview
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
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
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
Media will never influence learning
Clark, R. E. (1994) · Educational Technology Research and Development · doi:10.1007/bf02299088 · Cited by 1,893
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005) · Information & Management · doi:10.1016/j.im.2003.10.007 · Cited by 1,184
The acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940
Research works printed but not linked: 31
- Agarwal, 1999, Are individual differences germane to acceptance of new information technologies?, Decision Sciences, 30, 361, 10.1111/j.1540-5915.1999.tb01614.x · DOI · Paper page
- Al-Gahtani, 1999, Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology, Behaviour and Information Technology, 18, 277, 10.1080/014492999119020 · DOI · Paper page
- Brown, 2006, Learning from a distance, Journal of Property Management, 71, 42
- Cappel, 2004, Evaluating e-learning: A case study, Journal of Computer Information Systems, 44, 49
- Clark, 1991, When researchers swim upstream: Reflections on an unpopular argument about learning from media, Educational Technology
- Davis, 1993, User acceptance of information technology: System characteristics, user perceptions and behavioural impacts, International Journal of Man–Machine Studies, 38, 475, 10.1006/imms.1993.1022 · DOI · Paper page
- Davis, 1989, User acceptance of computer technology: A comparison of two theoretical models, Management Science, 35, 982, 10.1287/mnsc.35.8.982 · DOI · Paper page
- Ghani, 1994, Task characteristics and the experience of optimal flow in human–computer interaction, The Journal of Psychology, 128, 381, 10.1080/00223980.1994.9712742 · DOI · Paper page
- Huang, 2005, The acceptance of women-centric websites, Journal of Computer Information Systems, 45, 75
- Jieun, 2005, Extending the TAM for a t-commerce, Information and Management, 42, 965, 10.1016/j.im.2004.11.001 · DOI · Paper page
- Kim, 2005, An exploratory study of factors influencing m-learning success, Journal of Computer Information Systems, 46, 92
- Koufaris, 2002, Applying the technology acceptance model and flow theory to online consumer behaviour, Information Systems Research, 13, 205, 10.1287/isre.13.2.205.83 · DOI · Paper page
- Kozma, 1991, Learning with media, Review of Educational Research, 61, 79
- Kozma, 1994, The influence of media on learning: The debate continues, School Library Media Research, 22
- Liaw, 2008, Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the blackboard system, Computers and Education, 51, 864, 10.1016/j.compedu.2007.09.005 · DOI · Paper page
- Lim, 2000, The effect of multimedia on perceived equivocality and perceived usefulness of information systems, MIS Quarterly, 24, 449, 10.2307/3250969 · DOI · Paper page
- Lu, 2005, Facilitating conditions, wireless trust and adoption intention, Journal of Computer Information Systems, 46, 17
- Mackay, 2006, Blended learning, classroom and e-learning, The Business Review, 5, 82
- Matarazzo, 2000, The value of video in work at a distance: Addition or distraction, Behaviour and Information Technology, 19, 339, 10.1080/014492900750000045 · DOI
- Ngai, 2007, Empirical examination of the adoption of WebCT using TAM, Computers and Education, 48, 250, 10.1016/j.compedu.2004.11.007 · DOI · Paper page
- Novak, 2000, Measuring the customer experience in online environments: A structural modeling approach, Marketing Science, 19, 22, 10.1287/mksc.19.1.22.15184 · DOI · Paper page
- Otondo, 2008, The complexity of richness: Media, message and communication outcomes, Information and Management, 45, 21, 10.1016/j.im.2007.09.003 · DOI
- Seyal, 2004, Senior government executives’ use of the Internet: A Bruneian scenario, Behaviour and Information Technology, 23, 197, 10.1080/01449290410001669978 · DOI
- Seyal, 2002, Determinants of academic use of the Internet: A structural equation model, Behaviour and Information Technology, 21, 71, 10.1080/01449290210123354 · DOI
- Sun, 2007, The design of instructional multimedia in e-learning: A media richness theory-based approach, Computers and Education, 49, 662, 10.1016/j.compedu.2005.11.016 · DOI
- Timmerman, 2006, Computer-assisted instruction, media richness, and college student performance, Communication Education, 55, 73
- Venkatesh, 2002, User acceptance enablers in individual decision making about technology: Toward an integrated model, Decision Sciences, 33, 297, 10.1111/j.1540-5915.2002.tb01646.x · DOI
- Webster, 1993, The dimensionality and correlates of flow in human–computer interaction, Computer and Human Behaviour, 9, 411, 10.1016/0747-5632(93)90032-N · DOI · Paper page
- Weiser, 1999, Using video streaming on the Internet for a graduate IT course: A case study, Journal of Computer Information Systems, 39, 38, 10.1080/08874417.1999.11647404 · DOI
- Yeung, 2004, Gaining competitive advantages through a functionality grid for website evaluation, Journal of Computer Information Systems, 44, 67
- Yi, 2005, How individual differences influence technology usage behaviour? Toward an integrated framework, Journal of Computer Information Systems, 46, 52
Cited by
Perski, O., Blandford, A., West, R., & Michie, S. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0453-1 · Cited by 1,193
Abdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986
Liaw, S.-S., & Huang, H.-M. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.07.015 · Cited by 571
Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2023) · Educational Studies · doi:10.1080/03055698.2020.1850426 · Cited by 343
Chang, C.-C., Liang, C., Chou, P.-N., & Lin, G.-Y. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.031 · Cited by 292
Šumak, B., & Šorgo, A. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.037 · Cited by 295
A ChatBot for Learning Chinese: Learning Achievement and Technology Acceptance
Chen, H.-L., Vicki Widarso, G., & Sutrisno, H. (2020) · Journal of Educational Computing Research · doi:10.1177/0735633120929622 · Cited by 220
Understanding user perception toward artificial intelligence (AI) enabled e-learning
Kashive, N., Powale, L., & Kashive, K. (2020) · The International Journal of Information and Learning Technology · doi:10.1108/ijilt-05-2020-0090 · Cited by 181
Ramírez-Correa, P. E., Arenas-Gaitán, J., & Rondán-Cataluña, F. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140460 · Cited by 160
Students’ adoption towards behavioral intention of digital learning platform
Songkram, N., Chootongchai, S., Osuwan, H., Chuppunnarat, Y., & Songkram, N. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11637-4 · Cited by 93
Cross cultural analysis of the use and perceptions of web based learning systems
Arenas-Gaitán, J., Ramírez-Correa, P. E., & Javier Rondán-Cataluña, F. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.03.016 · Cited by 83
Acceptance of 5 G technology: Mediation role of Trust and Concentration
Akbari, M., Rezvani, A., Shahriari, E., Zúñiga, M. Á., & Pouladian, H. (2020) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2020.101585 · Cited by 72
Can gamification and interface design aesthetics lead to MOOCs' success?
Cheng, Y.-M. (2021) · Education + Training · doi:10.1108/et-09-2020-0278 · Cited by 36
Exploring the factors influencing teachers’ instructional data use with electronic data systems
Luo, J., Wang, M., & Yu, S. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104631 · Cited by 32
Examining Humanized Bot Interaction for the Retail Revenue Growth
Kumar, N., Garg, P., Gupta, N., & Upreti, K. (2026) · Journal of Revenue and Pricing Management · doi:10.1057/s41272-025-00549-2 · Cited by 3
Metadata
- Authors
- Liu, S.-H., Liao, H.-L., & Pratt, J. A.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 52
- Issue
- 3
- Pages
- 599-607
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2143403090
- Cited by
- 586
- References
- 6
- FWCI
- 71.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.