This paper develops a strategy with simple implementation and limited data requirements to identify spatial distortion of supply from demand – or, equivalently, unequal access to supply among regions – in transportation markets. We apply our method to ride-level, multi-platform data from New...

The Freemium business model, commonly used in digital products, has both a perpetually free but limited version and a premium version with enhanced features that requires a fee. These firms often have a referral program in which current customers get additional benefits (e.g., extra storage...

We propose a novel theory-based approach to the reinforcement learning problem of maximizing profits when faced with an unknown demand curve. Our method is based on multi-armed bandits, which are a collection of minimal assumption non-parametric models that balance exploration and exploitation...

Music is used extensively to evoke emotion throughout the customer journey. This paper develops a theory-based, interpretable deep learning convolutional neural network (CNN) classifier---MusicEmoCNN---to predict the dynamically varying emotional response to music. To develop a theory-based CNN,...