The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets

By Pradeep Chintagunta, S. Gopinath, S. Venkataraman. Marketing science (Providence, R.I.), 2010

962 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e126458336e622df178723439cb469bf433d55a3

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Citations in the corpus

What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, result): “Although the results of many studies echo this finding, there are also examples of studies finding that volume itself is insufficient (Chintagunta, Gopinath, and Venkataraman 2010).”
Social Media, Traditional Media, and Music Sales (2014, background): “A number of papers have examined the influence of product reviews on sales, such as Godes and Mayzlin (2004) for TV show ratings, Chevalier and Mayzlin (2006) for books, and Liu (2006), Dellarocas et al. (2007), Duan et al. (2008), Chintagunta et al. (2010), and Moon et al. (2010) for movies.”
Personal or Product Reputation? Optimizing Revenues in the Sharing Economy (2019, background): “…researchers (Ho-Dac Carson and Moore 2013; Xiong and Bharadwaj 2014) find evidence that the volume of reviews (i.e., number of reviews) predict product sales, others claim that the main predictor of sales is rather the valence (i.e., review score) (Dellarocas et al. 2007; Chintagunta et al. 2010).”
Whose and what chatter matters? The effect of tweets on movie sales (2013, methodology): “Many researchers have used posts from Yahoo!Movies to study the effect of WOM on movie box office revenue [3,7,11], and the results are mixed.”
"Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, background): “…have shown that these reviews significantly affect consumer choices and therefore product sales (Aggarwal et al., Forthcoming, Berger et al., 2010, Chintagunta et al., 2010, Clemons et al., 2006, Dellarocas et al., 2007, Duan et al., 2008, Forman et al., 2008, Li and Hitt, 2008, Liu, 2006, Sun,…”
Online Shopping and Social Media: Friends or Foes? (2017, background): “…and consumption-related content as well as opinions and eWOM posted by other consumers (e.g., Chen, Wang, and Xie 2011; Chevalier and Mayzlin 2006; Chintagunta, Gopinath, and Venkataraman 2010; Godes and 28 / Journal of Marketing, November 2017 Mayzlin 2004; Kumar et al. 2013; Liu 2006; Moe and…”
Mining customer requirements from online reviews: A product improvement perspective (2016, background): “Online reviews have become an important source of information for consumers that significantly influence consumer choices and product sales [38,39,40,41,42,43,44,45,46,47].”
The role of electronic word of mouth in reducing information asymmetry: an empirical investigation of online hotel booking. (2018, result): “Moreover, they reported conflicting findings regarding the volume/ valance metrics; for example, while Duan, Gu, and Whinston (2008) found that movie revenues are associated with the volume of eWOM and not with its valence, Chintagunta, Gopinath, and Venkataraman (2010) reported the opposite result.”
Cultural Industries: Product–Market Characteristics, Management Challenges and Industry Dynamics (2015, positive): “At national level volume has been found more important and valence in local settings (Chintagunta et al. 2010).”
How Does the Variance of Product Ratings Matter? (2012, background): “…Liu (2006) Word of mouth offers significant explanatory power for both aggregate and weekly box office revenue, especially in early weeks after a movie's release Chintagunta et al. (2010) It is the valence that seems to matter and not the volume Digital camera buyers want higher resolution.”
Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance (2012, background): “Second, several studies examine the interaction among consumers or the impact of UGC on demand/sales (e.g., Dellarocas et al. 2007, Dhar and Chang 2009, Liu 2006, Chintagunta et al. 2010, Chevalier and Mayzlin 2006, Trusov et al. 2009, Moe and Trusov 2011) but not the impact of UGC on stock market p”
Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales (2014, background): “Typically, researchers have looked at valence [9, 14, 32, 34], variance in ratings [10, 19] and volume of reviews [14, 32].”
Understanding the Impact of Online Reviews on Hotel Performance (2017, background): “In order to explain the contradictory findings across different industries, some researchers explored contextual variables such as market (Chintagunta, Gopinath, and Venkataraman 2010), product type in terms of degree of involvement (Mudambi and Schuff 2010), and whether it is a search or…”