The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model
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
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
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Toward a hierarchical model of intrinsic and extrinsic motivation
Vallerand, R. J. (1997) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60019-2 · Cited by 3,198 · cited 1×
“The CA variables represent one form or another of intrinsic motivation, where ‘‘a behavior is performed for itself, in order to experience pleasure and satisfaction inherent in the activity’’ [19,55].”
BackgroundTellegen, A., & Atkinson, G. (1974) · Journal of Abnormal Psychology · doi:10.1037/h0036681 · Cited by 2,196
Empirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656
Research works printed but not linked: 45
- Adams, 1992, Perceived usefulness, ease of use, and usage of information technology: a replication, MIS Quarterly, 16, 227, 10.2307/249577 · DOI · Paper page
- I. Ajzen, Attitude structure and behavior, in: A.R. Pratkanis, S.J. Breckler, A.G. Greenwald (Eds.), Attitude Structure and Function, Lawrence Erlbaum Associates, Hillsdale, NJ, 1989, pp. 241–274.
- Baroudi, 1986, An empirical study of the impact of user involvement on system usage and information satisfaction, Communications of the ACM, 29, 232, 10.1145/5666.5669 · DOI · Paper page
- Brown, 2002, Individual and technological factors affecting perceived ease of use of web-based learning technologies in a developing country, EJISDC, 9, 1
- Chang, 2001, Determinants of the intention to use internet/www at work: a confirmatory study, Information and management, 39, 1, 10.1016/S0378-7206(01)00075-1 · DOI · Paper page
- Chau, 1996, An empirical assessment of a modified technology acceptance model, Journal of management information systems, 13, 185, 10.1080/07421222.1996.11518128 · DOI · Paper page
- K.L. Chin, A study into students’ perceptions of web-based learning environment, HERDSA Annual international Conference, Melbourne, July 1999.
- Conlon, 1997, The internet is not a panacea, Scottish educational review, 29, 30, 10.1163/27730840-02901005 · DOI
- D.F. Davis, A technology acceptance model for empirically testing new end-user information systems: theory and results, Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology, 1986.
- 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
- A.G. Debourgh, Learner and instructional predictors of student satisfaction in a graduate nursing program taught via interactive video conferencing and world wide web/internet, Doctoral Dissertation, University of San Francisco, 1998.
- L.E. Deci, M.R. Ryan, Intrinsic Motivation and Self-determination in Human Behavior, Plenum, New York, 1985. · DOI · Paper page
- E.U. Gattiker, Managing computer-based office information technology: a process model for management, in: H. Hendrick, O. Brown (Eds.), Human Factors in Organizational Design, North-Holland, Amsterdam, The Netherlands, 1984.
- Gefen, 1998, The impact of developer responsiveness on perceptions of usefulness and ease of use: an extension of the technology acceptance model, DATA BASE, 29, 35, 10.1145/298752.298757 · DOI · Paper page
- Gelderman, 1998, The relation between user satisfaction, Information and Management, 34, 11, 10.1016/S0378-7206(98)00044-5 · DOI
- 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
- J.F. Hair, R.E. Anderson, R.L. Tatham, W.C. Black, Multivariate Data Analysis, Prentice Hall, 1998.
- Hartwick, 1994, Explaining the role of user participation in information system use, Management Science, 40, 440, 10.1287/mnsc.40.4.440 · DOI · Paper page
- J. Hedberg, B. Harper, S. Corrent-Agostinho, Creating a postgraduate virtual community: issues for authors and students as authors, Apple University Consortium Academic Conference, University of Melbourne, Melbourne, 1998.
- R.J. Hill, Distance learning environments via world wide web, in: B.H. Khan (Ed.), Web-based Instruction, Educational Technology Publications, Englewood Cliffs, NJ.
- Igbaria, 1995, Testing the determinants of microcomputer usage via a structural equation model, Journal of Management Information Systems, 11, 87, 10.1080/07421222.1995.11518061 · DOI · Paper page
- Igbaria, 1997, The consequences of information technology acceptance on subsequent individual performance, Information and Management, 32, 113, 10.1016/S0378-7206(97)00006-2 · DOI
- Igbaria, 1997, Personal computing acceptance factors in small firms: a structural equation model, MIS Quarterly, 21, 279, 10.2307/249498 · DOI
- Iivari, 1994, User information satisfaction: IS implementability and effectiveness, Information and Management, 27, 205, 10.1016/0378-7206(94)90049-3 · DOI
- L.T. Johanson, The virtual community of an online classroom: participant’s interactions in a community college writing class by computer mediated communication, Doctoral Dissertation, Oregon State University, 1996.
- Johnson, 2000, Comparative analysis of learners satisfaction and learning outcomes in online and face-to-face learning environments”, JI. of Interactive Learning Research, 11, 29
- Keeney, 1999, The value of internet commerce to the customer, Management Science, 45, 533, 10.1287/mnsc.45.4.533 · DOI · Paper page
- J. Keller, Motivational design of instruction, in: C. Reigeluth (Ed.), Instructional Design Theories and Models: an Overview of their Current Status, Lawrence Erlbaum Associates, Hillsdale, NJ, 1983, pp. 386–434.
- R. LaRose, J. Gregg, M. Eastin, Audiographic telecourses for the web: an experiment, Journal of computer-mediated communications 4 (2) 1998. Available: http://www.ascusc.org/jcmc/vol4/issue2/larose.html. · DOI
- D. Lee, J. Park, J. Ahn, On the explanation of factors affecting e-commerce adoption, in: Proceedings of the 22nd International Conference on Information Systems (ICIS 2001), New Orleans, Louisiana, USA, 16–19 December 2001, pp. 109–120.
- Liao, 2001, Internet-based e-shopping and consumer attitudes: an empirical study, Information and Management, 38, 299, 10.1016/S0378-7206(00)00072-0 · DOI
- J.B. Lohmoller, Latent Variable Path Modeling with Partial Least Squares, Springer-Verlag, New York, 1989. · DOI
- Mioduser, 2000, Web-based learning environments: current pedagogical and technological state, Journal of Research on Computing in Education, 33, 55, 10.1080/08886504.2000.10782300 · DOI
- Park, 1995, Discretionary use of personal computers by knowledge workers: testing of a social psychology theoretical model, Behavior and Information Technology, 14, 215, 10.1080/01449299508914635 · DOI · Paper page
- Rivard, 1988, Factors for success for end-user computing, Communications of ACM, 31, 552, 10.1145/42411.42418 · DOI
- S. Rivard, G. Poirier, L. Raymond, F. Bergeron, Development of a Measure to Assess The Quality of User-Developed Applications, Cahier GRESI 93 (08), HEC-Montreal, 1993, pp. 1–16.
- Strader, 1997, Characteristics of electronic markets, Decision Support Systems, 21, 185, 10.1016/S0167-9236(97)00028-6 · DOI
- Thompson, 1991, Personal computing: toward a conceptual model of utilization, MIS Quarterly, 15, 125, 10.2307/249443 · DOI · Paper page
- Trevino, 1992, Flow in computer-mediated communications: electronic mail and voice mail evaluation and impacts, Communications Research, 19, 539, 10.1177/009365092019005001 · DOI
- C.H. Triandis, Attitude and Attitude Change, Wiley, New York, NY, 1971.
- C.H. Triandis, Values, attitudes, and interpersonal behavior, Nebraska Symposium on Motivation, 1979: Beliefs, Attitudes, and Values, University of Nebraska Press, Lincoln, NE, 1980, pp. 195–259.
- Venkatesh, 1996, A model of the antecedents of perceived ease of use: development and test, Decision Sciences, 27, 451, 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- Venkatesh, 2000, A theoretical extension of the technology acceptance model: four longitudinal field studies, Management Science, 46, 186, 10.1287/mnsc.46.2.186.11926 · DOI · Paper page
- Webster, 1997, Teaching effectiveness in technology-mediated distance Learning, Academy of Management Journal, 40, 1282, 10.2307/257034 · DOI · Paper page
- Webster, 1997, Audience engagement in multi-media presentation, Data Base for the Advances in Information Systems, 28, 63, 10.1145/264701.264706 · DOI
Cited by
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.01.003 · Cited by 1,399
College students’ use and acceptance of emergency online learning due to COVID-19
Patricia Aguilera-Hermida, A. (2020) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2020.100011 · Cited by 1,286
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
Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006) · Information & Management · doi:10.1016/j.im.2005.08.006 · Cited by 1,139
Understanding Web-based learning continuance intention: The role of subjective task value
Chiu, C.-M., & Wang, E. T. G. (2008) · Information & Management · doi:10.1016/j.im.2008.02.003 · Cited by 869
Metadata
- Authors
- Saadé, R., & Bahli, B.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 42
- Issue
- 2
- Pages
- 317-327
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W1979755600
- Cited by
- 1,039
- References
- 8
- FWCI
- 41.84
- 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.