We use a social learning perspective to extend our understanding of information technology (IT) investment and return. Specifically, we investigate social learning in the context of interlocks between corporate boards, which allow firms to share knowledge and experiences with respect to their IT...

We propose the first learning algorithm for single-product, periodic-review, backlogging inventory systems with random production capacity. Different than the existing literature on this class of problems, we assume that the firm has neither prior information about the demand distribution nor...

We consider the joint optimization of ordering and upgrading decisions in a dynamic multiproduct system over a finite time horizon of $T$ periods. Multiple classes of demand arrive in each period stochastically following stationary distributions. Demand can be satisfied with supply of the same...

We consider joint learning and pricing in network revenue management (NRM) with multiple products, multiple resources with finite capacity, parametric demand model, and a continuum set of feasible price vectors. We study the setting with a general parametric demand model and the setting with a...