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2017 | OriginalPaper | Buchkapitel

Strategic Groups in the French Franchising Sector

verfasst von : Sofiane Bouzid, Magali Chaudey, Muriel Fadairo, Frédéric Perdreau

Erschienen in: Management and Governance of Networks

Verlag: Springer International Publishing

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Abstract

We provide a picture of the French franchising sector, based on the strategic group approach. We use a recent 4-year panel dataset from the French Federation of Franchising, for the period 2010–2013, and sophisticated statistical and supervised learning models. Five main strategic groups of franchisors are distinguished in the French system, characterized by specific strategies and performance outcomes. We first survey the literature dealing with strategic groups and then conduct a multidimensional statistical analysis (Principal Components Analysis and Ascending Hierarchical Clustering), highlighting three factorial axes and five clusters. We test the stability of network behaviors with a classification model. Finally, we observe and comment on the differences in strategic group performances.

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Fußnoten
1
Brickley and Dark (1987), Norton (1988), Minkler (1990), Brickley et al. (1991), Barthélemy (2008), Mitsuhashi et al. (2008), Barthélemy (2011), and Combs et al. (2011)
 
2
Oxenfeldt and Kelly (1969), Caves and Murphy (1976), Lafontaine and Kaufmann (1994), Carney and Gedajlovic (1991), Combs and Ketchen (1999), Combs et al. (2004), and Castrogiovanni et al. (2006)
 
3
Three approaches are mobilized to investigate the validity of the cluster numbers. The first is based on external criteria and consists in displaying the results of the cluster analysis in the factorial plan resulting from the PCA analysis. The second approach is based on internal criteria, using the information obtained from the clustering process. In this second case, we can evaluate how the results of the cluster analysis fit the data. The third approach of clustering validity is based on validity indexes. This method evaluates a clustering structure by comparing it with other clustering schemes, obtained with the same algorithm but producing a different number of clusters.
 
4
We conducted these tests since they are very common in this type of study. Significantly, they allow us to reject the hypothesis of the equality of all the variables (even the royalty rate) between the clusters.
 
5
Dant and Gundlach (1999), Combs et al. (2004), and Gonzalez-Diaz and Solis-Rodriguez (2015)
 
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Metadaten
Titel
Strategic Groups in the French Franchising Sector
verfasst von
Sofiane Bouzid
Magali Chaudey
Muriel Fadairo
Frédéric Perdreau
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-57276-5_2