کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
552620 | 1451087 | 2014 | 12 صفحه PDF | دانلود رایگان |
• We develop a multiple equation model to examine the inter-relationships between ratings, sentiments and sales.
• Ratings do not have a significant direct impact on sales but have an indirect impact through sentiments.
• Sentiments have a direct significant impact on sales.
• Most helpful and most recent — play a significant role in determining sales.
It is generally assumed that ratings are a numeric representation of text sentiments and their valences are consistent. This however may not always be true. Using a panel of data on over 4000 books from Amazon.com, we develop a multiple equation model to examine the inter-relationships between ratings, sentiments, and sales. We find that ratings do not have a significant direct impact on sales but have an indirect impact through sentiments. Sentiments, however, have a direct significant impact on sales. Our findings also indicate that the two most accessible types of reviews – most helpful and most recent – play a significant role in determining sales. This suggests that information that is easily accessible and cognitive effort-reducing heuristics play a role in online purchase decisions. This study advances our understanding on the inter-relationship between ratings, sentiments, and sales and sheds insight on the relevance of ratings and sentiments over a sequential decision making process.
Journal: Decision Support Systems - Volume 57, January 2014, Pages 42–53