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Nan Hu
Researcher at Xi'an Jiaotong University
Publications - 102
Citations - 5305
Nan Hu is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Product (category theory) & Quality (business). The author has an hindex of 25, co-authored 85 publications receiving 4473 citations. Previous affiliations of Nan Hu include University of Wisconsin-Madison & Singapore Management University.
Papers
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Journal ArticleDOI
Do Online Reviews Affect Product Sales? The Role of Reviewer Characteristics and Temporal Effects
TL;DR: It is demonstrated that consumers understand the value difference between favorable news and unfavorable news and respond accordingly, and the impact of online reviews on sales diminishes over time, suggesting that firms need not provide incentives for customers to write reviews beyond a certain time period after products have been released.
Journal ArticleDOI
Overcoming the J-shaped distribution of product reviews
Nan Hu,Jie Zhang,Paul A. Pavlou +2 more
TL;DR: The existence of a J-shaped distribution is demonstrated, sources of bias that cause this distribution are identified, ways to overcome these biases are proposed, and it is shown that overcoming these biases helps product review systems better predict future product sales.
Journal ArticleDOI
Do online reviews affect product sales? The role of reviewer characteristics and temporal effects
TL;DR: This paper used transaction cost economics and uncertainty reduction theories to evaluate the effect of online product reviews on sales and found that consumers understand the value difference between favorable news and unfavorable news and respond accordingly.
Journal ArticleDOI
Manipulation of online reviews: An analysis of ratings, readability, and sentiments
TL;DR: A simple statistical method is proposed to detect online reviews manipulation, and assess how consumers respond to products with manipulated reviews, and the effectiveness of manipulation through ratings, sentiments, and readability is investigated.
Proceedings ArticleDOI
Can online reviews reveal a product's true quality?: empirical findings and analytical modeling of Online word-of-mouth communication
TL;DR: An analytical model is derived to explain when the mean can serve as a valid representation of a product's true quality, and its implication on marketing practices is discussed.