The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Predicting user response to sponsored advertising on social media via the technology acceptance model
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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
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
eTailQ: dimensionalizing, measuring and predicting etail quality
Wolfinbarger, M., & Gilly, M. C. (2003) · Journal of Retailing · doi:10.1016/s0022-4359(03)00034-4 · Cited by 2,340
Inexperience and experience with online stores: the importance of TAM and trust
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2003.817277 · Cited by 965
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2014.09.005 · Cited by 868
PRIVACY PROTECTION STRATEGIES ON FACEBOOK: The Internet privacy paradox revisited
Young, A. L., & Quan-Haase, A. (2013) · Information, Communication & Society · doi:10.1080/1369118x.2013.777757 · Cited by 345
Cited by
Social media in marketing: A review and analysis of the existing literature
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.05.008 · Cited by 1,123
Hwang, K., & Zhang, Q. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.029 · Cited by 639
Pop, R.-A., Săplăcan, Z., & Alt, M.-A. (2020) · Information · doi:10.3390/info11090447 · Cited by 262
Geng, S., Yang, P., Gao, Y., Tan, Y., & Yang, C. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106834 · Cited by 102
Transforming Digital Marketing with Generative AI
Islam, T., Miron, A., Nandy, M., Choudrie, J., Liu, X., & Li, Y. (2024) · Computers · doi:10.3390/computers13070168 · Cited by 68
Metadata
- Authors
- Lin, C. A., & Kim, T.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-11
- Volume
- 64
- Pages
- 710-718
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2483578185
- Cited by
- 262
- References
- 6
- FWCI
- 27.41
- 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: Predicting user response to sponsored advertising on social media via the technology acceptance model. https://app.cochat.ai/papers/10.1016/j.chb.2016.07.027
- The paper
- Lin, C. A., & Kim, T. (2016). Predicting user response to sponsored advertising on social media via the technology acceptance model. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.07.027
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.
