In this paper, we analyze how different dimensions of a seller's reputation affect pricing power in electronic markets. Given the interplay between buyers' trust and sellers' pricing power, we use text mining techniques to identify and structure dimensions of importance from feedback posted on...

This paper addresses the repeated acquisition of labels for data itemswhen the labeling is imperfect. We examine the improvement (or lackthereof) in data quality via repeated labeling, and focus especially onthe improvement of training labels for supervised induction. With theoutsourcing of...

In algorithmic hiring systems, diversity policies are often inscribed as algorithmic fairness constraints. But algorithms rarely work in isolation; almost always, humans make the ultimate hiring decision based on recommendations from the algorithm. To better understand the downstream effects of...

Managers and researchers alike suspect that the vast amounts of qualitative information found in blogs, product reviews, real estate listings, news stories, analyst reports and experts' advice influence consumer behavior. But, do these kinds of qualitative information impact or rather reflect...

We investigate the relationship between on-demand ridesharing via platforms like Uber and Lyft and the use of public transit systems. Our study uses trip count data on ridesharing, taxi, shared bike, and subway usage in New York City. Exploiting a series of exogenous shocks to the system — the...