Cognitive strategic groups and long-run efficiency evaluation: the case of Spanish savings banks
Diego Prior
DEE - Working Papers. Business Economics. WB from Universidad Carlos III de Madrid. Departamento de EconomÃa de la Empresa
Abstract:
In the framework of Cognitive Approach, this paper proposes a new method to identify strategic groups (SG) using Data Envelopment Analysis (DEA) methods. Two assumptions are maintained in the SG literature: first, firms grouped together value inputs and outputs similarly, and, second, some degree of stability in those valuations should be identified. Virtual weights obtained from DEA are extremely useful in the valuation of the strategic variables, but a problem emerges when longitudinal analysis is performed. This problem is addressed by defining a long run DEA evaluation. SGs are determined by means of Cluster Analysis, using virtual outputs and virtual inputs as variables and Spanish savings banks as observations. The traditional method of determining SGs by clustering on the original variables is also applied and the results are compared. It is shown that the long run DEA weights approach has advantages over the traditional methodology.
Keywords: Banking; Cognitive; groups; Data; Envelopment; Analysis; Stable; strategic; time; periods; Strategic; groups (search for similar items in EconPapers)
Date: 2007-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://e-archivo.uc3m.es/rest/api/core/bitstreams ... 88b6957627a9/content (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cte:wbrepe:wb071004
Access Statistics for this paper
More papers in DEE - Working Papers. Business Economics. WB from Universidad Carlos III de Madrid. Departamento de EconomÃa de la Empresa
Bibliographic data for series maintained by Ana Poveda ().