The impact of service attributes and category on eWOM helpfulness: An investigation of extremely negative and positive ratings using latent semantic analytics and regression analysis

Volume: 114, Pages: 106527 - 106527
Published: Jan 1, 2021
Abstract
Online reviews have become irreplaceable product/service information for many consumers. However, not all consumer reviews are deemed to be helpful. Drawing upon expectation-confirmation theory and the attribute-based model of consumer decision-making, this study investigates the role of service attributes and the moderating role of service category in the prediction of extremely positive and extremely negative ratings helpfulness. This study...
Paper Details
Title
The impact of service attributes and category on eWOM helpfulness: An investigation of extremely negative and positive ratings using latent semantic analytics and regression analysis
Published Date
Jan 1, 2021
Volume
114
Pages
106527 - 106527
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