Description
Online review sites like Yelp.com, TripAdvisor.com and AngiesList.com provide values to both business and consumers. A large body of literature investigates drivers of online review usefulness. Review comprehensiveness has been identified as one the most important dimension of review quality and an important predictor of review usefulness. This study contributes to the literature by crafting and operationalizing review comprehensiveness using a text mining approach. We also empirically test the effect of the operationalized review comprehensiveness construct on review usefulness. In practice, online review providers, especially Yelp.com, can benefit from this study by integrating review comprehensiveness in their sorting algorithms.
Recommended Citation
Aghakhani, Navid; Salehan, Mohammad; and Zhang, Sonya, "The Dimensions of Review Comprehensiveness and Its Effect on Review Usefulness: A Latent Dirichlet Allocation Approach" (2017). AMCIS 2017 Proceedings. 24.
https://aisel.aisnet.org/amcis2017/eBusiness/Presentations/24
The Dimensions of Review Comprehensiveness and Its Effect on Review Usefulness: A Latent Dirichlet Allocation Approach
Online review sites like Yelp.com, TripAdvisor.com and AngiesList.com provide values to both business and consumers. A large body of literature investigates drivers of online review usefulness. Review comprehensiveness has been identified as one the most important dimension of review quality and an important predictor of review usefulness. This study contributes to the literature by crafting and operationalizing review comprehensiveness using a text mining approach. We also empirically test the effect of the operationalized review comprehensiveness construct on review usefulness. In practice, online review providers, especially Yelp.com, can benefit from this study by integrating review comprehensiveness in their sorting algorithms.