The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model
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Citations
Cites
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Cited by
Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services
Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.013 · Cited by 956
Demographic differences in perceived benefits from gamification
Koivisto, J., & Hamari, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.007 · Cited by 841
Lee, C., & Coughlin, J. F. (2015) · Journal of Product Innovation Management · doi:10.1111/jpim.12176 · Cited by 771
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636
Manis, K. T., & Choi, D. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.021 · Cited by 494
Niehaves, B., & Plattfaut, R. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2013.19 · Cited by 347
Li, C.-Y. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.09.003 · Cited by 343
Digital Engagement of Older Adults: Scoping Review
Kebede, A. S., Ozolins, L.-L., Holst, H., & Galvin, K. (2022) · Journal of Medical Internet Research · doi:10.2196/40192 · Cited by 298
Marriott, H. R., & Williams, M. D. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.01.017 · Cited by 270
Maican, C. I., Cazan, A.-M., Lixandroiu, R. C., & Dovleac, L. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.010 · Cited by 128
Hong, J. W., Peng, Q., & Williams, D. (2021) · New Media & Society · doi:10.1177/1461444820925798 · Cited by 102
Electronic Health Literacy Across the Lifespan: Measurement Invariance Study
Paige, S. R., Miller, M. D., Krieger, J. L., Stellefson, M., & Cheong, J. (2018) · Journal of Medical Internet Research · doi:10.2196/10434 · Cited by 93
Chang, T.-S., Li, Y., Huang, H.-W., & Whitfield, B. (2021) · 2021 2nd International Conference on Education Development and Studies · doi:10.1145/3459043.3459065 · Cited by 74
Individuals' intention to use sports wearables: the moderating role of technophobia
Cavdar Aksoy, N., Kocak Alan, A., Tumer Kabadayi, E., & Aksoy, A. (2020) · International Journal of Sports Marketing and Sponsorship · doi:10.1108/ijsms-08-2019-0083 · Cited by 55
Fang, Z., Liu, Y., Jiang, F., & Dong, W. (2023) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24747 · Cited by 8
(2017) · PubMed · Cited by 7
Metadata
- Authors
- Chung, J. E., Park, N., Wang, H., Fulk, J., & McLaughlin, M.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 26
- Issue
- 6
- Pages
- 1674-1684
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2160337394
- Cited by
- 429
- References
- 23
- FWCI
- 24.76
- 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.
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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.