• English 
    • español
    • English
    • français
  • FacebookPinterestTwitter
  • español
  • English
  • français
View Item 
  •   DIGIBUG Home
  • 1.-Investigación
  • Departamentos, Grupos de Investigación e Institutos
  • Departamento de Economía Financiera y Contabilidad
  • DEFC - Artículos
  • View Item
  •   DIGIBUG Home
  • 1.-Investigación
  • Departamentos, Grupos de Investigación e Institutos
  • Departamento de Economía Financiera y Contabilidad
  • DEFC - Artículos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

SAFER Methodology: A Proposal for the Identification of Family Firms in Spain Based on the SABI Database

[PDF] Artículo principal (1.005Mb)
Identificadores
URI: https://hdl.handle.net/10481/93235
DOI: https://doi.org/10.24310/ejfb.14.1.2024.18965
Exportar
RISRefworksMendeleyBibtex
Estadísticas
View Usage Statistics
Metadata
Show full item record
Author
Casillas, José Carlos; Escribá-Esteve, Alejandro; Gómez Miranda, María Elena; López-Fernández, M. Concepción; Lorenzo-Gómez, Daniel; Requejo, Ignacio; Rojo-Ramírez, Alfonso A.
Editorial
Universidad de Málaga
Materia
Family Firm
 
Identification
 
Definition
 
Date
2024
Referencia bibliográfica
Casillas, José Carlos; Escribá-Esteve, Alejandro; Gómez-Miranda, María Elena; López-Fernández, M. Concepción; Lorenzo-Gómez, Daniel; Requejo, Ignacio; Rojo-Ramírez, Alfonso A. (2024): SAFER Methodology: A Proposal for the Identification of Family Firms in Spain Based on the SABI Database. European Journal of Family Business, 14(1), pp. 85-97.
Abstract
Although family firms represent a large percentage of all companies worldwide, methodological contributions regarding their identification are very scarce. This paper offers a new methodology (labelled as “SAFER methodology”) for identifying family versus non-family firms using the SABI database (Spanish version of Orbis) as a source of information, primarily considering ownership and corporate governance variables. The SAFER methodology can be applied without the need for massive data extraction, which contributes to its accessibility and ease of use by researchers. Furthermore, the proposed methodology has been tested using a sample of 500 companies, with a classification error of less than five percent. This methodology has also been discussed and assumed by the IEF (Instituto de la Empresa Familiar), becoming standard in Spain. The value-added of this work is to provide researchers with a widely accepted strategy for the selection of family firm samples. The methodology can also be used with equivalent databases that cover other specific countries (e.g., AIDA for Italian company data or Markus in Germany) or that have an international coverage (e.g., Orbis). Our results represent an important step forward in facilitating the work of professionals and policy makers in the development of reports on family businesses through a rigorous process of identification and classification.
Collections
  • DEFC - Artículos

My Account

LoginRegister

Browse

All of DIGIBUGCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectFinanciaciónAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectFinanciación

Statistics

View Usage Statistics

Servicios

Pasos para autoarchivoAyudaLicencias Creative CommonsSHERPA/RoMEODulcinea Biblioteca UniversitariaNos puedes encontrar a través deCondiciones legales

Contact Us | Send Feedback