The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Extrinsic versus intrinsic motivations for consumers to shop on-line
Overview
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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
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Deci, E. L. (1975) · doi:10.1007/978-1-4613-4446-9 · Cited by 2,911
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
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
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
Ha, S., & Stoel, L. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.06.016 · Cited by 1,353
Roca, J. C., & Gagné, M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.06.001 · Cited by 732
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565
Kim, T. G., Lee, J. H., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.016 · Cited by 369
Metadata
- Authors
- Shang, R.-A., Chen, Y.-C., & Shen, L.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 42
- Issue
- 3
- Pages
- 401-413
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2130881851
- Cited by
- 518
- References
- 5
- FWCI
- 32.45
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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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.