Paper Info
Title
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context
Abstract
Online reviews, as one kind of new marketing methods, are becoming increasingly important in influencing preferences and decision-making of consumers. In view of this, this paper conducts an empirical study on Dangdang Books, constructs a research framework on correlation between product sales and aspects of online reviews, and explores the correction through the panel data econometric model. Compared to former research, our work analyzes real data on product sales instead of the rank of sales. Based on our study results and comparison with others' research results on Amazon (amazon.com), we provide several guiding suggestions for online review systems in the Chinese context. These systems should pay attention to emotional tendency of reviews, reviewer ranking mechanisms, spotlight reviews, review format and review voting mechanisms.
Year
DOI
Venue
2011
10.1109/AINA.2011.43
AINA
Keywords
Field
DocType
online review system,review format,research framework,chinese context,review voting mechanism,empirical study,empirical analysis,product sale,online review,online reviews,former research,spotlight review,research result,product sales,panel data,mechanical index,econometrics,marketing,data models,e commerce,econometric model,correlation
Data science,Panel data,Data modeling,Voting,Ranking,Computer science,Econometric model,Conceptual framework,Marketing,Information sharing,Empirical research,Distributed computing
Conference
ISSN
Citations 
PageRank 
1550-445X
1
0.36
References 
Authors
6
3
Name
Order
Citations
PageRank
Hui Fang1232.62
Qinghua Zhu221918.95
Jie Zhang311.03