Abstract
Too many reviews lead to information overload, which makes it vital for an effective review system to identify helpful ones. Extensive empirical studies have shown that review helpfulness is affected by many factors, two of which are review sentiment and rating. However, almost all the existing studies assumed that the effects of these factors are time-invariant, and the review system is static. This study challenges such unrealistic yet prevalent assumption. Using 82, 703 phone review data from Amazon.com, we examine how review rating and sentiment impact review helpfulness and how such impact varies with time. Echoing the mixed results on the effects of rating or sentiment on perceived review helpfulness, our results suggest that in a decade before, rating and sentiment were positively associated with review helpfulness, while in recent years the relationship became negative instead. Our findings offer theoretical and managerial insights for both researchers and practitioners.
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