Many two-sided matching platforms, such as those for lodging, labor, and ridesharing, use a review system to monitor service providers, where dissatisfied customers can complain about their service experience. Using comprehensive datasets from a large ridesharing platform, this paper explores...

We analyze recommendation algorithms that firms can engineer to strategically provide information to consumers about products with uncertain matches. Monopolists who cannot alter prices can design recommendation algorithms to oversell the product instead of algorithmically recommending perfectly...

Click fraud is the practice of deceptively clicking on search ads with the intention of either increasing third-party website revenues or exhausting an advertiser's budget. Search advertisers are forced to trust that search engines do everything possible to detect and prevent click fraud even...

Facebook and Google offer hybrid advertising auctions that allow advertisers to bid on a per-impression or a per-click basis for the same advertising space. This paper studies the properties of equilibrium and considers how to increase efficiency in this new auction format. Rational expectations...

Despite the increasing adoption of environmental regulations in emerging economies, their socioeconomic impact has not been fully explored. This study evaluates the effects of a sulfur dioxide (SO2) control policy in China on industrial emission and production activities. The “Two Control...

Many Customer Service Organizations (CSOs) reflect a tiered, or multi-level, organizational structure, which we argue imposes hassle costs for dissatisfied customers seeking high levels of redress. The tiered structure specifies that first-level CSO agents (e.g. call center operators) be...

This paper establishes a rigorous framework for sentiment analysis applications in finance. First, we present a thorough review of the latest academic literature, including both methodological advancements and findings. Second, we categorise and analyse the different sentiment analysis...