Jie Zhang

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.

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.

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.

TL;DR: In this paper, the predictive relationship between social media and firm equity value, the relative effects of social media metrics compared with conventional online behavioral metrics, and the dynamics of these relationships were examined.

TL;DR: The results derived from vector autoregressive models suggest that social media-based metrics Web blogs and consumer ratings are significant leading indicators of firm equity value and social media has a faster predictive value, i.e., shorter “wear-in” time, than conventional online media.