The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Predicting and explaining the adoption of online trading: An empirical study in Taiwan
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Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
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
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
An Examination of the Nature of Trust in Buyer-Seller Relationships
Doney, P. M., & Cannon, J. P. (1997) · Journal of Marketing · doi:10.2307/1251829 · Cited by 6,822
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715
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Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988) · Journal of Consumer Research · doi:10.1086/209170 · Cited by 3,867
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Cited by
Why people participate in the sharing economy: an empirical investigation of Uber
Lee, Z. W. Y., Chan, T. K. H., Balaji, M. S., & Chong, A. Y.-L. (2018) · Internet Research · doi:10.1108/intr-01-2017-0037 · Cited by 305
Information technology adoption: a review of the literature and classification
Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018) · Universal Access in the Information Society · doi:10.1007/s10209-017-0534-z · Cited by 181
Bile Hassan, I., Murad, M. A. A., El-Shekeil, I., & Liu, J. (2022) · Informatics · doi:10.3390/informatics9020031 · Cited by 55
The influence of buyers’ time orientation on online shopping behavior: a typology.
Xu-Priour, D. L., Cliquet, G., & Palmer, A. (2017) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1319206 · Cited by 34
“A further stream of research has found increasing empirical evidence of a significant positive link between social interaction and intention to shop online [30, 71].”
BackgroundHung, S.-W., Cheng, M.-J., & Lee, C.-J. (2022) · Information Technology & People · doi:10.1108/itp-05-2020-0329 · Cited by 29
Metadata
- Authors
- Lee, M.-C.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 47
- Issue
- 2
- Pages
- 133-142
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2158785051
- Cited by
- 247
- References
- 19
- FWCI
- 16.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Predicting and explaining the adoption of online trading: An empirical study in Taiwan. https://app.cochat.ai/papers/10.1016/j.dss.2009.02.003
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- Lee, M.-C. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems. https://doi.org/10.1016/j.dss.2009.02.003
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.
