Central Limit Theorem for Linear Statistics of Eigenvalues of Band Random Matrices

We prove the Central Limit Theorem for linear statistics of the eigenvalues of band random matrices provided $\sqrt{n} \ll b_n \ll n$ and test functions are sufficiently smooth.Comment: minor revision; to appear in Random Matrices: Theory and Application

Effects of Aggregate Rating on eWOM Acceptance: An Attribution Theory Perspective

Online shoppers are increasingly relying on electronic word-of-mouth (eWOM), which refers to Internet-mediated opinions and recommendations on products and services from experienced consumers, to optimize their purchase decisions and reduce purchase risks. Anchored on the attribution theories, this research investigates how consumers would process and respond to the rich information provided by a eWOM system. More specifically, it examines the potential interactions between two eWOM components, namely aggregate rating and individual review, on consumers’ recommendation acceptance. The results from a laboratory experiments revealed that when a positive customer review is accompanied with negative aggregate rating, consumers are more likely to attribute the review to non-product-related factors rather than product-related factors. However, this effect is not significant when the customer review is negative. In addition, product-related attributions have positive impacts on a review’s perceived diagnosticity and credibility, both of which could increase the likelihood of consumer acceptance

Celebrity-Following And Social Capital: A Study Of User Behavior In Microblogging

In recent years, microblogging has emerged as a disruptive new force in social networking. Unlike the bi-directional relationships on traditional SNS sites (such as Facebook), connections on most microblogging platforms (such as Twitter) is one-directional, by which users choose others to “follow” and each user has her own group of “followers”. Such asymmetric relationships are particularly ubiquitous between celebrities and their fans. This study investigated the impacts of microblogging users’ various celebrity-following activities from a social capital perspective. The results of a large-scale survey provided supportive evidence to our theoretical research model, i.e., microblogging users’ one-directional celebrity-fol lowing activities could increase their perceived social capital and such influences are mediated by their parasocial interactions with the celebrities