Information Sciences · 2012 · 14 citations · 0 references
BusinessInformation SystemsMarketingConsumer BehaviorE-commerce RetailingE-commerce SystemsConsumer SatisfactionCustomer EngagementCustomer SatisfactionE-commerce MarketingInformation EvaluationOnline Consumer BehaviorElectronic ReviewsEmpirical EvaluationOnline Product ReviewsOnline Review MiningReview HelpfulnessUser ReviewsUser-generated Reviews
From the perspective of online reviews' text content,and using China's large B2C e-commerce sites data,we develop and test a model of the impact of review content on online reviews' helpful.All 221 reviews indicated that review's depth,objectivity,description richness of consistency and product characteristic have positive effect on the helpfulness of the review,but description richness of oneself experience and feelings have negative effect on the helpfulness of the review.The relationship between emotional intensity and online reviews helpfulness is not significant.