We present a hidden Markov model for collaborative filtering of implicit ratings when the ratings have been generated by a set of changing user preferences. Most of the works in the collaborative filtering and recommender systems literature have been developed under the assumption that user...

In this paper we investigate how well banks manage their reserves. The optimal policy takes into account expected foregone interest on excess reserves and penalty costs for going below required reserves. Using a unique panel data-set on daily clearing house settlements of a cross-section of...

We examine whether and how ride-sharing services influence the demand for home-sharing services. Our identification strategy hinges on a natural experiment where Uber/Lyft exited Austin in May 2016 in response to new regulations. On a 12-month longitudinal data spanning 11,423 Airbnb properties,...

This study examines the role of project managers' (PM) practical intelligence (PI) in the performance of software offshore outsourcing projects. Based on the extant literature, we conceptualize PI for PMs as their capability to resolve project related work problems, given their long-range and...

Our research examines the impact of competing ads on click performance of an ad in Sponsored Search. We use a unique dataset of 1267 advertiser keyword pairs with differing ad quality related to 360 keywords from a search engine to evaluate the click performance. We find that competing high...