The operations management discipline has made substantial progress developing analytical models to help firms make tactical and strategic decisions (e.g., inventory control, assortment planning). The application of these models to real contexts requires several inputs, such as an estimate of the...

Large cities around the globe are facing an alarming growth in traffic congestion and greenhouse gas emissions, to which a significant contributor in recent years are on-demand cabs operated by ride-hailing platforms. Reducing the number of ride-hailing vehicles on the road has become an...

We study customer preference for the bike share system in the city of London. We estimate a structural demand model on the station network to learn the preference parameters and use the estimated model to provide insights on the design and expansion of the bike share system. We highlight the...

Random coefficient multinomial logit models (Berry et al. 1995) are widely used to estimate customer preferences from sales data. However, these estimation models can only allow for products with positive sales; this selection leads to highly biased estimates in long tail markets--i.e., markets...