How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets

By Suman Basuroy, Subimal Chatterjee, Abraham Ravid. 2003

988 citations recorded by the source corpus.

Subfields: Clinical Psychology, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/c0d44919a7e692c739df5165195fb87e4383d976

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Citations in the corpus

Do online reviews affect product sales? The role of reviewer characteristics and temporal effects (2008, positive): “Author(s) Data sources Findings Basuroy, Chatterjee, and Ravid (2003) [4] 200 films released between late 1991 and early 1993 from Baseline Services in California and Variety magazine - Both positive and negative reviews are correlated with weekly box office revenues over an eight-week period.”
The Differential Effects of Online Word-of-Mouth and Critics’ Reviews on Pre-release Movie Evaluation (2010, background): “Basuroy et al. (2003) find that this correlation is significant in all weeks after opening.”
What drives purchase intention for paid mobile apps? - An expectation confirmation model with perceived value (2015, background): “Subsequent empirical studies have found that a strong positive rating can positively influence product sales (Basuroy et al. 2003, Clemons et al. 2006, Gu et al. 2013).”
Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies (2014, positive): “In addition, we included a movie’s production budget (Basuroy, Chatterjee, and Ravid 2003), its star power (Elberse 2007), and whether the movie was produced by a major Hollywood studio (e.g., Kim 2013).”
Effects of Valence and Extremity of eWOM on Attitude toward the Brand and Website (2009, background): “However, our findings that negative reviews hurt the brand attitude compared to no review at all and that their influences on attitude toward the brand were greater than those of positive reviews suggest that advertisers’ efforts should be directed more toward preventing consumers from spreading neg”
Online Damage Control: The Effects of Proactive versus Reactive Webcare Interventions in Consumer-generated and Brand-generated Platforms (2012, background): “The negative effects of NWOM have been repeatedly demonstrated in past research (Basuroy, Chatterjee, and Ravid 2003; Chakravarty, Liu, and Mazumdar 2010; Chevalier and Mayzlin 2006; Sen and Lerman 2007; Willemsen et al. 2011).”
Jacks of All Trades and Masters of None: Audiences' Reactions to Spanning Genres in Feature Film Production (2006, background): “Professional critics are often thought to exert a significant influence over consumers’ decisions in the U.S. film industry (e.g., Wyatt and Badger, 1984; Eliashberg and Shugan, 1997; Holbrook, 1999; Basuroy, Chatterjee, and Ravid, 2003).”
The Power of Stars: Do Star Actors Drive the Success of Movies? (2007, background): “…weekly, or opening-week revenues increase with the rank of the star talent associated with it (Ainslie, Drèze, and Zufryden 2005; Albert 1998; Basuroy, Chatterjee, and Ravid 2003; Elberse and Eliashberg 2003; Faulkner and Anderson 1987; Litman and Kohl 1989; Neelamegham and Chintagunta…”
The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry (2008, positive): “office revenue on a weekly basis by extending the earlier models proposed by Eliashberg and Shugan (1997) and Basuroy et al. (2003). The results suggest that the volume of WOM accounts for most explanatory power of aggregate and weekly revenue, but WOM valence is not”
Word of Mouse (2008, background): “For example, negative reviews hurt a movie's box office performance more than positive reviews help it (Basuroy, Chatterjee, and Ravid 2003).”
Opinion Mining and Sentiment Analysis (2008, background): “05 level to be classed as “significant”, then many studies find that review polarity has a significant economic effect [13, 14, 23, 31, 35, 47, 59, 62, 68, 72, 75, 76, 81, 82, 128, 136, 145, 180, 194, 196, 198, 207, 208, 214, 237, 251, 254, 279, 298, 332].”
Asymmetric effects of online consumer reviews (2015, result): “In equation U2 we find a significant and positive parameter for negative reviews (not for positive reviews), which means that the former are considered to be more useful than the latter, in line with Basuroy et al. (2003), and Chevelier and Mayzlin (2006).”
Tourists’ willingness to pay for an accommodation: the effect of eWOM and internal reference price (2017, background): “The volume measure refers to the total number of comments or ratings about a product or service (Basuroy et al., 2003; Chevalier & Mayzlin, 2006; Y. Liu, 2006).”
Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues (2012, background): “Many studies related to online reviews have indicated that a negative review is more influential than a positive review [2, 10, 12, 43].”
Reviewing the reviewers: The impact of individual film critics on box office performance (2007, background): “…opinions provide important and crucial information for consumers in many “experience goods” markets—restaurants, shows/theaters, books, movies, etc. (Basuroy et al. 2003; Caves 2000; Eliashberg and Shugan 1997; Greco 1997), because in these markets consumers cannot ascertain product quality…”