Combining Quality Indexes in the Retail Location Problem Using Generalized Linear Models

The most important strategic decision in retailing is location. The process of selecting a proper place is a complex and multidimensional problem. A relevant factor that must be taken into account in the decision is the existence of an appropriate commercial ecosystem for the type of business to be located. There are different network-based quality indices to quantify the fitness of each location. In this paper, we show that the combined use of all the primary quality indices through generalized linear models and the aggregation of the information through consensus techniques allow improving the assessment of the different locations.