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Cited by 586

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

Liu, Su-Houn, Liao, Hsiu-Li, Pratt, Jean A.·2009·Computers & Education

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Crossref · 10.1016/j.compedu.2008.11.002

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Citations

Cites

Show all 6 references

Research works printed but not linked: 31

  1. 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
  2. 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
  3. Brown, 2006, Learning from a distance, Journal of Property Management, 71, 42
  4. Cappel, 2004, Evaluating e-learning: A case study, Journal of Computer Information Systems, 44, 49
  5. Clark, 1991, When researchers swim upstream: Reflections on an unpopular argument about learning from media, Educational Technology
  6. 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
  7. 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
  8. 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
  9. Huang, 2005, The acceptance of women-centric websites, Journal of Computer Information Systems, 45, 75
  10. Jieun, 2005, Extending the TAM for a t-commerce, Information and Management, 42, 965, 10.1016/j.im.2004.11.001 · DOI · Paper page
  11. Kim, 2005, An exploratory study of factors influencing m-learning success, Journal of Computer Information Systems, 46, 92
  12. 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
  13. Kozma, 1991, Learning with media, Review of Educational Research, 61, 79
  14. Kozma, 1994, The influence of media on learning: The debate continues, School Library Media Research, 22
  15. 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
  16. 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
  17. Lu, 2005, Facilitating conditions, wireless trust and adoption intention, Journal of Computer Information Systems, 46, 17
  18. Mackay, 2006, Blended learning, classroom and e-learning, The Business Review, 5, 82
  19. Matarazzo, 2000, The value of video in work at a distance: Addition or distraction, Behaviour and Information Technology, 19, 339, 10.1080/014492900750000045 · DOI
  20. 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
  21. 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
  22. Otondo, 2008, The complexity of richness: Media, message and communication outcomes, Information and Management, 45, 21, 10.1016/j.im.2007.09.003 · DOI
  23. Seyal, 2004, Senior government executives’ use of the Internet: A Bruneian scenario, Behaviour and Information Technology, 23, 197, 10.1080/01449290410001669978 · DOI
  24. Seyal, 2002, Determinants of academic use of the Internet: A structural equation model, Behaviour and Information Technology, 21, 71, 10.1080/01449290210123354 · DOI
  25. 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
  26. Timmerman, 2006, Computer-assisted instruction, media richness, and college student performance, Communication Education, 55, 73
  27. 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
  28. 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
  29. 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
  30. Yeung, 2004, Gaining competitive advantages through a functionality grid for website evaluation, Journal of Computer Information Systems, 44, 67
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Cited by

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)

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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.