The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Perceived interactivity leading to e-loyalty: Development of a model for cognitive–affective user responses
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Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
The Discovery of Grounded Theory: Strategies for Qualitative Research.
Wagner, H. R., Glaser, B. G., & Strauss, A. L. (1968) · Social Forces · doi:10.2307/2575405 · Cited by 46,361
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
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Basics of Qualitative Research
Ozanne, J. L., Strauss, A., & Corbin, J. (1992) · Journal of Marketing Research · doi:10.2307/3172751 · Cited by 17,850
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Cited by
Investigating the impact of social media advertising features on customer purchase intention
Alalwan, A. A. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.001 · Cited by 906
Javornik, A. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.02.004 · Cited by 685
Assessing Common Method Bias: Problems with the ULMC Technique1
Chin, W. W., Thatcher, J. B., & Wright, R. T. (2012) · MIS Quarterly · doi:10.2307/41703491 · Cited by 505
See now, act now: How to interact with customers to enhance social commerce engagement?
Xue, J., Liang, X., Xie, T., & Wang, H. (2020) · Information & Management · doi:10.1016/j.im.2020.103324 · Cited by 414
Javornik, A. (2016) · Journal of Marketing Management · doi:10.1080/0267257x.2016.1174726 · Cited by 408
Metadata
- Authors
- Cyr, D., Head, M., & Ivanov, A.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 67
- Issue
- 10
- Pages
- 850-869
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2122961203
- Cited by
- 358
- References
- 95
- FWCI
- 20.92
- 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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- This page
- CoChat. (2026). Citation check: Perceived interactivity leading to e-loyalty: Development of a model for cognitive–affective user responses. https://app.cochat.ai/papers/10.1016/j.ijhcs.2009.07.004
- The paper
- Cyr, D., Head, M., & Ivanov, A. (2009). Perceived interactivity leading to e-loyalty: Development of a model for cognitive–affective user responses. International Journal of Human-Computer Studies. https://doi.org/10.1016/j.ijhcs.2009.07.004
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.