Exploring the value of online product reviews in forecasting sales: The case of motion pictures

By Chrysanthos Dellarocas, Xiaoquan (Michael) Zhang, Neveen Farag Awad. 2007

1,599 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/30437c6ec797c1690b58757c57d7b382c4326cd1

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In Management Science and Operations Research

In Marketing

In Sociology and Political Science

Citations in the corpus

Co-Creation: Toward a Taxonomy and an Integrated Research Perspective (2010, background): “On-line product reviews can also be used to refine sales forecasting; adding the metrics reflecting these reviews substantively improves the performance of diffusion models in forecasting revenues [29].”
The impact of electronic word-of-mouth communication: A literature analysis and integrative model (2012, background): “, the rate and the valence of consumer reviews) extracted from the websites or online product review platforms to examine the impact of eWOM messages on product sales [14,20,22,24,27,29,79].”
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].”
Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews (2013, background): “Apart from volume, Dellarocas et al. (2007) studied the impact of movie reviews and found that the valence of online movie ratings is also a predictor of future movie revenues.”
"Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, background): “…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, 2012, Zhu and Zhang, 2010).”
Halo (Spillover) Effects in Social Media: Do Product Recalls of One Brand Hurt or Help Rival Brands? (2016, background): “Prior research has shown that online chatter is a leading indicator of sales (Asur and Huberman 2010; Dellarocas, Zhang, and Awad 2007; Liu 2006; Stephen and Galak 2012) and stock market performance (Luo 2009; Tirunillai and Tellis 2012).”
More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates (2013, background): “Second, in accordance with Duan, Gu, and Whinston (2008) and Yong (2006) but in contrast with Dellarocas, Xiaoquan, and Awad (2007), we note that the consideration of dynamic, rather than static, relationships reveals that changes in the volume of reviews posted on a particular product retail site…”
Understanding the Impact of Online Reviews on Hotel Performance (2017, background): “…of the emergence of Web 2.0 and the increasing number of online platforms, consumers frequently communicate and interact online with other web users to share their experiences about products and services (Buhalis and Law 2008; Dellarocas, Zhang, and Awad 2007; Filieri 2015; Leung et al. 2013).”
How Does the Variance of Product Ratings Matter? (2012, background): “…and Mayzlin (2006) A higher average rating leads to higher book sales, and impact of one-star reviews is bigger than impact of five-star reviews Dellarocas et al. (2007) Total box-office revenue can be predicted from user reviews in the first week of a movie's release Duan et al. (2008)…”
The Differential Effects of Online Word-of-Mouth and Critics’ Reviews on Pre-release Movie Evaluation (2010, background): “Many of these studies utilize media and entertainment industries as a context, and mostly find that consumer communications have significant impact on product sales (e.g., Dellarocas, Zhang, and Awad 2007; Duan, Gu, and Whinston 2008; Godes and Mayzlin 2004; Liu 2006).”
Conceptualising electronic word of mouth activity: An input‐process‐output perspective (2011, background): “Output A large proportion of the literature is about eWOM’s impact, and its influence on purchase decisions and sales (Hu et al., 2008; Trusov et al., 2009; Dellarocas, 2006; Dellarocas et al., 2007).”