We consider a seller’s problem of determining revenue-maximizing prices for an assortment of products that exhibit network effects. Customers make purchase decisions according to a multinomial logit (MNL) customer choice model, modified — to incorporate network effects — so that the...

We consider an infinite-horizon multi-product dynamic pricing problem with reference effects in a monopolistic setting, where the reference price is an exponentially weighted average of historical prices. In each period, the demand follows the multinomial logit (MNL) model, where the utility...

This paper incorporates heterogeneous threshold effects into the classical multinomial logit (MNL) model, and studies the associated operations problems such as estimation and assortment optimization. The derived model is referred to as the threshold multinomial logit (TMNL) model and...

We study assortment optimization problems under multinomial logit choice model with two tree structured consideration set models, i.e., the subtree model and the induced paths model. In each model, there are multiple customer types and each customer type has a different consideration set. A...

We analyze the assortment optimization problem faced by a monopolistic firm selling n substitutable products in both store and online channels. In our problem, a subset of products (the assortment) are offered in store while all products are sold online. Compared to purchasing in store,...

This paper studies dynamic pricing and switching cost game under discrete mixed multinomial logit (MMNL) demand. Competing firms can dynamically change prices and redesign their products to in- crease or decrease switching costs in each period to influence the repeat consumers’ purchase...