Do online reviews matter? - An empirical investigation of panel data

By Wenjing Duan, Bin Gu, Andrew Whinston. Decision Support Systems, 2008

1,928 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/39272a67649200532a6ccadcf51e3b1511f4157b

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Citations in the corpus

Online engagement factors on Facebook brand pages (2013, methodology): “WOM was found to be a powerful tool for marketing, frequently used by individuals as a source of brand or product-related information (Buttle 1998; Duana et al. 2008).”
Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues (2012, background): “com is one of the largest online retail markets and has extensive consumer review systems [8, 15].”
Credibility of online reviews and initial trust (2012, background): “Moreover, some studies also investigated the behavioural impact of online information on the online review (Duan et al., 2008; Vermeulen and Seegers, 2009; Ye et al., 2009).”
Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning (2019, background): “…studies have investigated simple and readily available summary statistics (e.g., review volume, average rating, variance of rating) and how they influence consumer purchase decisions (e.g., Duan, Gu, and Whinston 2008; Godes and Mayzlin 2004; Resnick and Zeckhauser 2002; Sun 2012; see Table 1).”
"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).”
Predicting the “helpfulness” of online consumer reviews (2017, background): “Hence, understanding the role of online user reviews in e-commerce has attracted the attention of both academics and practitioners around the world (Duan, Gu, & Whinston,, 2008a; Forman, Ghose, & Wiesenfeld, 2008; Li & Hitt, 2008).”
Too good to be true: the role of online reviews’ features in probability to buy (2017, background): “Also, other past studies have shown that volume affects market outcomes, such as box office sales (Duan, Gu, and Whinston 2008b; Liu 2006), sales rank of electronic products (Cui, Lui, and Guo 2012; Gu, Park, and Konana 2012), but also other measures such as consumer attention (Godes and Mayzlin…”
Neural Correlates of Susceptibility to Group Opinions in Online Word-of-Mouth Recommendations (2015, background): “In turn, word-of-mouth recommendations can significantly shape consumer decisions (Anderson and Magruder 2012; Berger 2014; Chevalier and Mayzlin 2006; Chintagunta, Gopinath, and Venkataraman 2010; Duan, Gu, and Whinston 2008; Ye et al. 2011).”