The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Modeling users’ acceptance of mobile services
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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
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
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Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Qu, X. (2007) · Technometrics · doi:10.1198/tech.2007.s455 · Cited by 14,705
Cited by
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
Jung, T., Chung, N., & Leue, M. C. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.02.013 · Cited by 560
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018) · Technology in Society · doi:10.1016/j.techsoc.2018.06.007 · Cited by 444
Faqih, K. M. S., & Jaradat, M.-I. R. M. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.09.006 · Cited by 403
A meta-analysis of antecedents and consequences of trust in mobile commerce
Sarkar, S., Chauhan, S., & Khare, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.008 · Cited by 375
Metadata
- Authors
- Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M.
- Venue
- Electronic Commerce Research
- Published
- 2012-03-23
- Volume
- 12
- Issue
- 2
- Pages
- 225-248
- ISSN
- 1389-5753 (ISSN-L)
- 1572-9362
- OpenAlex
- W2005787529
- Cited by
- 296
- References
- 74
- FWCI
- 40.88
- 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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How to cite
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- CoChat. (2026). Citation check: Modeling users’ acceptance of mobile services. https://app.cochat.ai/papers/10.1007/s10660-012-9092-x
- The paper
- Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012). Modeling users’ acceptance of mobile services. Electronic Commerce Research. https://doi.org/10.1007/s10660-012-9092-x
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.
