Retailers have long recognized that some categories are more important than others in consumers' store choice decisions. The overall profitability of a store requires careful category-level merchandising decisions to draw the most desirable consumers into the store. However, the traditional...

This paper investigates the effects of a limited consumer memory on the price competition between firms. It studies a specific aspect of memory--namely, the categorization of available price information that the consumers may need to recall for decision making. This paper analyzes competition...

The increasing availability of customer information is giving many firms the ability to reach and customize price and other marketing efforts to the tastes of the individual consumer. This ability is labeled as consumer addressability. Consumer addressability through sophisticated databases is...

The e-marketplace has emerged as an important electronic shopping environment that, according to a recent report, may evolve into a dominant force in Internet marketing. We investigate an e-marketplace with online stores offering competing products. We find that featuring is associated with a...

Our research investigates the competitive ramifications of individual marketing and information management in today's information-intensive marketing environments. The specific managerial issues we address are as follows. First, what kinds of incentive environments do competing firms face when...

A exists in many industries (e.g., newspaper publishing, media, software) in which a seller sells both a primary and a secondary product (e.g., a newspaper publisher sells newspapers to readers and advertising space to advertisers), and the value of the secondary product depends on the size of...

Price-matching guarantees are widely used in consumer and industrial markets. Previous studies argue that they are a marketing tactic that facilitates implicit price collusion. This is because once a store adopts this marketing tactic, its rivals can no longer steal its customers by undercutting...

This paper is concerned with statistical inference in multinomial probit, multinomial-$t$ and multinomial logit models. New Markov chain Monte Carlo (MCMC) algorithms for fitting these models are introduced and compared with existing MCMC methods. The question of parameter identification in the...