The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Adoption of internet banking: An empirical study in Hong Kong
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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
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
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
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
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
CONDUCTING INTERORGANIZATIONAL RESEARCH USING KEY INFORMANTS.
KUMAR, N., STERN, L. W., & ANDERSON, J. C. (1993) · Academy of Management Journal · doi:10.2307/256824 · Cited by 2,467
Consumer acceptance of online banking: an extension of the technology acceptance model
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) · Internet Research · doi:10.1108/10662240410542652 · Cited by 1,772
Cited by
Lee, M.-C. (2009) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2008.11.006 · Cited by 2,037
Consumer acceptance of online banking: an extension of the technology acceptance model
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) · Internet Research · doi:10.1108/10662240410542652 · Cited by 1,772
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
A SEM-neural network approach for predicting antecedents of m-commerce acceptance
Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.10.008 · Cited by 583
What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model
Singh, S., Sahni, M. M., & Kovid, R. K. (2020) · Management Decision · doi:10.1108/md-09-2019-1318 · Cited by 433
Metadata
- Authors
- Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2006-12
- Volume
- 42
- Issue
- 3
- Pages
- 1558-1572
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2081823153
- Cited by
- 806
- References
- 8
- FWCI
- 43.29
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
