Perceived 'usefulness' of online consumer reviews: An exploratory investigation across three services categories
By Pradeep Racherla, Wesley Friske. Electronic Commerce Research and Applications, 2012
530 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/9fc89d90cef5b8379dbd9ae5f189de6ba22abbdb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Sangwon Park
- Juan Luis Nicolau
- Raffaele Filieri
- Chulmo Koo
- Sung-Byung Yang
- Youhee Joun
- Seunghun Shin
- Zhibin Lin
In Sociology and Political Science
- Raffaele Filieri
- Claudio Vitari
- Elisabetta Raguseo
- Sangwon Park
- Zhibin Lin
- Chulmo Koo
- Sung-Byung Yang
- Seunghun Shin
In Human-Computer Interaction
- Sangwon Park
- Juan Luis Nicolau
- Raffaele Filieri
- Chulmo Koo
- Sung-Byung Yang
- Youhee Joun
- Seunghun Shin
- Kumar Ravi
Citations in the corpus
- Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services (2018, background): “For instance, Willemsen et al.’s [80] findings suggest that expertise claims are weakly related to the perceived usefulness of information for both search and experience goods in Amazon, whereas Racherla and Friske [68] conclude that a reviewer’s expertise is negatively correlated with helpfulness i”
- Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals (2020, background): “…that the aforementioned scholars did not measure the influence of factors that could moderate the relationship between extremely negative/extremely positive ratings and review helpfulness in their studies (Fang et al. 2016; Z. Liu and Park 2015; S. Park and Nicolau 2015; Racherla and Friske 2012).”
- A survey on opinion mining and sentiment analysis: Tasks, approaches and applications (2015, background): “S# Tasks and applications #Articles References 1 Subjectivity Classification 6 [44], [75], [110], [163], [167], [174] 2 Polarity determination 43 [12], [26], [29], [32], [33], [35], [40], [45], [48], [50], [54], [57], [66], [85], [95], [96], [108], [109], [112], [114], [123], [126], [154], [156], [1”
- What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “More recently, Racherla and Friske (2012) found that reviewers (on Yelp.com) with better reputations (in terms of number of friends and useful votes) tend to write longer and more balanced reviews that are intended to benefit consumers.”
- Asymmetric effects of online consumer reviews (2015, methodology): “Racherla and Friske (2012) found that a restaurant’s position in the website has an influence on users’ perception as more attention is drawn to businesses listed in the top places.”