The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth
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Citations
Cites
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Muniz, A. M., & O'Guinn, T. C. (2001) · Journal of Consumer Research · doi:10.1086/319618 · Cited by 3,998
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · cited 3×
“Retweets can be more powerful in reinforcing a message because they are repeated among groups of users who are strongly connected (Cha et al., 2010; Hung and Li, 2007).”
BackgroundEveryone's an influencer: quantifying influence on twitter
Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining · doi:10.1145/1935826.1935845 · Cited by 1,689
Some antecedents and effects of trust in virtual communities
Ridings, C. M., Gefen, D., & Arinze, B. (2002) · The Journal of Strategic Information Systems · doi:10.1016/s0963-8687(02)00021-5 · Cited by 1,423 · cited 1×
“Trust in (online) community members should motivate the sharing of information (Ridings et al., 2002).”
Background
Cited by
Erkan, I., & Evans, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.003 · Cited by 1,188
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
Evans, N. J., Phua, J., Lim, J., & Jun, H. (2017) · Journal of Interactive Advertising · doi:10.1080/15252019.2017.1366885 · Cited by 921
Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.07.009 · Cited by 528
Tang, Z., & Chen, L. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102066 · Cited by 93
Metadata
- Authors
- Kim, E., Sung, Y., & Kang, H.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 37
- Pages
- 18-25
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2010191348
- Cited by
- 281
- References
- 9
- FWCI
- 65.94
- 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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- CoChat. (2026). Citation check: Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth. https://app.cochat.ai/papers/10.1016/j.chb.2014.04.020
- The paper
- Kim, E., Sung, Y., & Kang, H. (2014). Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2014.04.020
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.
