Location of Franchise Networks in the United States. What Lessons for Networks Strategies?

Sofiane Bouzid (sofiane.bouzid@cnrs.fr) and Magali Chaudey (magali.chaudey@univ-st-etienne.fr)
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Sofiane Bouzid: Archéorient - ARCHEORIENT - Environnements et sociétés de l'Orient ancien - UL2 - Université Lumière - Lyon 2 - CNRS - Centre National de la Recherche Scientifique
Magali Chaudey: GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique

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Abstract: We present in this paper, an exploratory approach to analyzing the network's location choices. First, adopting a multivariate statistical approach, we built a typology of franchise networks allowing to define latent strategies. . Then, we present a new indicator, Network Linear Density (NLD) to estimate the distribution of network density from the number of outlets and the spatial distance between the franchisors and the largest state. . We conduct this exploratory analysis on a sample of American franchise networks. Our results support the hypothesis that there is a link between overall franchise network strategy and location strategy.

Date: 2021
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Published in Spatial Economic Analysis, 2021, 14 (4)

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04007863

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