The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity
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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
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
Self-citationSelf-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Measuring individual differences in empathy: Evidence for a multidimensional approach.
Davis, M. H. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.44.1.113 · Cited by 10,272
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822 · cited 2×
“The ELM theorizes that peripheral messages appealing to a given peripheral cue can enable powerful influence especially when message receivers are either uninterested in, or unable to process, the content (Petty & Cacioppo, 1986).”
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Communication and Persuasion · doi:10.1007/978-1-4612-4964-1_1 · Cited by 3,202
Firm-Created Word-of-Mouth Communication: Evidence from a Field Test
Godes, D., & Mayzlin, D. (2009) · Marketing Science · doi:10.1287/mksc.1080.0444 · Cited by 837 · cited 1×
“Social media marketing enables word-of-mouth (WOM) advertising campaigns, inducing brand awareness and increasing sales revenue (Godes & Mayzlin, 2009; Kumar & Mirchandani, 2012), and also promotes a firm’s relationships with prospects, which makes it easy to accurately target consumers.”
An empirical study of the factors affecting social network service use
Kwon, O., & Wen, Y. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.04.011 · Cited by 722
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
The effect of characteristics of source credibility on consumer behaviour: A meta-analysis
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.005 · Cited by 504
COVID-19 on Facebook Ads: Competing Agendas around a Public Health Crisis
Mejova, Y., & Kalimeri, K. (2020) · Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies · doi:10.1145/3378393.3402241 · Cited by 95
Ngo, T. T. A., Nguyen, H. L. T., Nguyen, H. P., Mai, H. T. A., Mai, T. H. T., & Hoang, P. L. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e35743 · Cited by 73
Metadata
- Authors
- Lee, J., & Hong, I. B.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 36
- Issue
- 3
- Pages
- 360-373
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2524459589
- Cited by
- 681
- References
- 11
- FWCI
- 96.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2016.01.001
- The paper
- Lee, J., & Hong, I. B. (2016). Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2016.01.001
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.
