Social Influence Effects in Online Product Ratings
By Shrihari Sridhar, R. Srinivasan. 2012
368 citations recorded by the source corpus.
Subfields: Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f127205920470641300fba78b8d29ca43abdd582
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Sajeev Varki
- Jill G. Griffin
- J. White
- S. Satish
- Ali Besharat
- Xueming Luo
- Ryan J. Langan
- Anubhav A. Mishra
In Organizational Behavior and Human Resource Management
- Jill G. Griffin
- Xueming Luo
- Anubhav A. Mishra
- Susan M. Broniarczyk
- Paul A. Bottomley
- Rob Angell
- Heesup Han
- Marcus Wagner
In Sociology and Political Science
- Sajeev Varki
- Jill G. Griffin
- J. White
- S. Satish
- Ali Besharat
- Xueming Luo
- Ryan J. Langan
- Michelle Andrews
Citations in the corpus
- Don't Distract Me When I'm Media Multitasking: Toward a Theory for Raising Advertising Recall and Recognition (2016, positive): “For example, in the domain of online product reviews, consumers are well known to adapt their ratings so not to appear too harsh or too lenient to other posters (Sridhar and Srinivasan 2012; Eisingerich et al. 2015).”
- Group-Buying Deal Popularity (2014, background): “…again when they are ready to redeem.8 Although we paid a great deal of attention to issues of model identification, this research may not perfectly identify causal impact, similar to other studies on GB and social influences (Li and Wu 2013; Sridhar and Srinivasan 2012; Zhang and Liu 2012).”
- Decision Difficulty in the Age of Consumer Empowerment (2014, background): “However, an average rating based on a large number of reviewers is not necessarily a reliable signal, as reviewer ratings are not independent and social dynamics lead initial reviewer ratings to influence subsequent reviewer ratings (Moe & Trusov, 2011; Sridhar & Srinivasan, 2012).”
- The effect of review valence and variance on product evaluations: An examination of intrinsic and extrinsic cues (2017, background): “Ironically, it is the consumer who often forms the most persuasive and informative arguments (Sridhar & Srinivasan, 2012).”
- eWOM: Extant Research Review and Future Research Avenues (2016, background): “Sridhar and Srinivasan (2012) extend it and suggest that online product reviewers, who are opinion leaders for future consumers, are influenced by information provided by other opinion leaders.”