The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics
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Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
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
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
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
The processes of causal attribution.
Kelley, H. H. (1973) · American Psychologist · doi:10.1037/h0034225 · Cited by 4,025 · cited 1×
“The inference is easier when the actor departs from the norms of behavior (Jones and Davis 1965; Kelley 1973).”
From acts to dispositions the attribution process in person perception
Jones, E. E., & Davis, K. E. (1965) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60107-0 · Cited by 3,424
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
What Makes Online Content Viral?
Berger, J., & Milkman, K. L. (2012) · Journal of Marketing Research · doi:10.1509/jmr.10.0353 · Cited by 3,178
Cited by
Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.181 · Cited by 381
Sheng, J., Amankwah‐Amoah, J., Khan, Z., & Wang, X. (2021) · British Journal of Management · doi:10.1111/1467-8551.12441 · Cited by 369
Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature
Grover, P., & Kar, A. K. (2017) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-017-0159-3 · Cited by 219
Akter, S., Bandara, R., Hani, U., Fosso Wamba, S., Foropon, C., & Papadopoulos, T. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.020 · Cited by 193
Baker, M. A., & Kim, K. (2019) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-03-2018-0247 · Cited by 122
Metadata
- Authors
- Salehan, M., & Kim, D. J.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 81
- Pages
- 30-40
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2465157137
- Cited by
- 577
- References
- 17
- FWCI
- 33.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. https://app.cochat.ai/papers/10.1016/j.dss.2015.10.006
- The paper
- Salehan, M., & Kim, D. J. (2016). Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. Decision Support Systems. https://doi.org/10.1016/j.dss.2015.10.006
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.
