Clustering is a data mining method which consists in partitioning a given set of n objects into p clusters in order to minimize the dissimilarity among o...

We investigate the impact of store capacity and extent of inter-product substitution in a retailer's assortment on the optimal timing and depth of price pro...

Dans cet article, nous proposons une extension du modèle d'attraction de parts de marché dans un cadre multi-catégories dans le but de considérer l'effet de ...

On reconsidère la relation entre le pouvoir de marché et les incitatifs à l'investissement par des firmes. On fait appel à un jeu différentiel avec des firm...

Nous caractérisons les prix d'équilibre dans un circuit de distribution sous deux scénarios. Dans le premier scénario, le producteur choisit le prix de trans...

We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...

In this paper, we propose a multivariate random forest method for multiple responses of mixed types with missing responses. Imputation is performed for eac...

In the literature, the study of price subsidies of new technologies has focused on the tactical problem of achieving maximum penetration under a budget con...

Why private labels (PLs) enjoy a large market in some countries while hardly penetrating others? What makes a market favourable to PL-product development? A...

The paper surveys the literature on cooperative advertising in marketing channels (supply chains) using game theoretic methods. During the last decade in p...

One of the major results announced in the static literature on the coordination of pricing decisions in bilateral monopolies states that vertical integrati...

This paper studies the pricing strategies of firms belonging to a vertical channel structure where optional contingent products are sold. Optional continge...

A significant game-theoretic literature on the coordination of distribution channels has developed over the past three decades. We provide an extensive analy...

Finding communities, or clusters, in networks, or graphs, has been the subject of intense studies in the last ten years. The most used criterion for that pu...

Umbrella branding is a strategy that consists in using the same name to market different products which may, or may not, be related. The purpose of this pape...

In this paper, we empirically investigate the robustness of random forests for regression problems. We also investigate the performance of five variations o...

We revisit the question of why some participants in online auctions place their bids right before the time of closing. Using e-Bay data for two product cate...

Finding modules, or clusters, in networks currently attracts much attention in several domains. The most studied criterion for doing so, due to Newman and Gi...

Given a set of entities associated with points in Euclidean space, minimum sum-of-squares clustering (MSSC) consist in partitioning this set into clusters su...

The paper revisits the advertising differential game suggested by G. Leitmann and W. E. Schmitendorf in their paper "Profit Maximization Through Advertising...