The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets
Abstract
The authors investigate how critics affect the box office performance of films and how the effects may be moderated by stars and budgets. The authors examine the process through which critics affect box office revenue, that is, whether they influence the decision of the film going public (their role as influencers), merely predict the decision (their role as predictors), or do both. They find that both positive and negative reviews are correlated with weekly box office revenue over an eight-week period, suggesting that critics play a dual role: They can influence and predict box office revenue. However, the authors find the impact of negative reviews (but not positive reviews) to diminish over time, a pattern that is more consistent with critics’ role as influencers. The authors then compare the positive impact of good reviews with the negative impact of bad reviews to find that film reviews evidence a negativity bias; that is, negative reviews hurt performance more than positive reviews help performance, but only during the first week of a film's run. Finally, the authors examine two key moderators of critical reviews, stars and budgets, and find that popular stars and big budgets enhance box office revenue for films that receive more negative critical reviews than positive critical reviews but do little for films that receive more positive reviews than negative reviews. Taken together, the findings not only replicate and extend prior research on critical reviews and box office performance but also offer insight into how film studios can strategically manage the review process to enhance box office revenue.
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Cites
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“Although some studies have focused on more successful films, such as the top 50 or the top 100 in Variety lists (De Vany and Walls 1997; Litman and Ahn 1998; Smith and Smith 1986), our study contains a random sample of the films (both successes and failures).”
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Modeling Loss Aversion and Reference Dependence Effects on Brand Choice
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Cited by
Tried and tested: The impact of online hotel reviews on consumer consideration
Vermeulen, I. E., & Seegers, D. (2009) · Tourism Management · doi:10.1016/j.tourman.2008.04.008 · Cited by 1,311
Hsu, C.-L., & Lin, J. C.-C. (2015) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2014.11.003 · Cited by 662
Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies
Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0388-3 · Cited by 434
In Search of Negativity Bias: An Empirical Study of Perceived Helpfulness of Online Reviews
Wu, P. F. (2013) · Psychology & Marketing · doi:10.1002/mar.20660 · Cited by 242
The unrealized value of incentivized eWOM recommendations
Kim, J., Naylor, G., Sivadas, E., & Sugumaran, V. (2016) · Marketing Letters · doi:10.1007/s11002-015-9360-3 · Cited by 56
Metadata
- Authors
- Basuroy, S., Chatterjee, S., & Ravid, S. A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2003-10
- Volume
- 67
- Issue
- 4
- Pages
- 103-117
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2126581536
- Cited by
- 913
- References
- 5
- FWCI
- 27.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets. Journal of Marketing. https://doi.org/10.1509/jmkg.67.4.103.18692
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.