Online Product Opinions: Incidence, Evaluation, and Evolution
By Wendy W. Moe, David A. Schweidel. 2012
615 citations recorded by the source corpus.
Subfields: Marketing, Sociology and Political Science, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Andrew T. Stephen
- Koen Pauwels
- H. V. van Heerde
- Alexander Chaudhry
- Yang Wang
- Michael Trusov
- Roland T. Rust
- Andreas M. Kaplan
In Sociology and Political Science
- Andrew T. Stephen
- Alexander Chaudhry
- Yang Wang
- Michael Trusov
- Koen Pauwels
- Julian McAuley
- Roland T. Rust
- Yuchi Zhang
In Statistical and Nonlinear Physics
- Julian McAuley
- Jure Leskovec
- Andrew T. Stephen
- Davide Proserpio
- William Rand
- Yong Tan
- Junjie Wu
- Georgios Zervas
Citations in the corpus
- From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews (2013, background): “Other works that study temporal dynamics at the level of products and communities include [29], where the authors studied how existing ratings within communities may influence new users, and how community dynamics evolve; and [13], who studied how users are influenced by previous ratings of the same…”
- Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content (2013, methodology): “This enables us to control for self-selection at the fan page level (Moe and Schweidel 2012) via constructing a “control” group of matched 398 customers13 who were in the reward program but did not join the FFS brand community.”
- Brand Buzz in the Echoverse (2016, background): “Numerous studies have focused on the relationship between online WOM and consumer sentiment (Moe and Schweidel 2012; Stephen and Toubia 2010) or behavior (Sweeney, Soutar, and Mazzarol 2014).”
- Online Shopping and Social Media: Friends or Foes? (2017, background): “First, it is generally acknowledged that the majority of user-generated content tends to be positive (Chevalier and Mayzlin 2006; Moe and Schweidel 2012).”
- Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings (2015, positive): “3 Moe and Schweidel (2012) showed the scenario where individuals”
- The role of electronic word of mouth in reducing information asymmetry: an empirical investigation of online hotel booking. (2018, background): “Similarly, Moe and Schweidel (2012) note that the interpretation of volume and valence can be misleading when each metric is considered separately.”
- When and how Managers' Responses to Online Reviews Affect Subsequent Reviews (2018, background): “Second, the absence of purchase data does not allow us to completely rule out selection mechanisms or control for review incidence dynamics documented by Moe and Schweidel (2012).”
- Social Media Metrics — A Framework and Guidelines for Managing Social Media (2013, background): “Moe and Schweidel (2012) highlight the dynamics of online reviews based on underlying heterogeneity.”
- “Wii Will Rock You!” The Use and Effect of Figurative Language in Consumer Reviews of Hedonic and Utilitarian Consumption (2013, background): “…evaluation, decision making, and purchase behavior (Ansari, Essegaier, and Kohli 2000; Cenfetelli et al. 2008; Chevalier and Mayzlin 2006; Daugherty et al. 2008; Forman et al. 2008; Ghose and Ipeirotis 2009; Godes and Mayzlin 2004; Li and Hitt 2008; Moe and Schweidel 2012; Zinkhan et al. 2007).”