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Título: Drivers of business model innovation in family firms: A dataset analysis
Fecha de publicación: 18-abr-2024
Cita bibliográfica: Data in Brief 54, (2024) - 110443
ISSN: 2352-3409
Palabras clave: Strategy
Innovation
Family firms
Resumen: In recent years, both in the world of research and consulting, the concept of innovation in the business model has been gaining a lot of interest. As a result, an incipient number of scientific and popular publications are being generated, which try to delimit and explain this term, as well as work methodologies for its application in the business world. The family business field can benefit from the application of this approach. But, at the same time, it can also serve as an object of study since its special idiosyncrasy will allow to deepen the analysis of successful business models. To illustrate inno- vation in business models, data from 112 family firms repre- sentative of the regional economy are presented. The compa- nies are also associated with the Murcian Association of Fam- ily Businesses (Amefmur). The collaboration with this organi- zation has made it possible to obtain very valuable and rep- resentative information thanks to the support provided. The collection of information was carried out through an elec- tronic survey. These data could be especially useful for es- tablishing business recommendations for this type of compa- nies and for analyzing other possible interrelationships of the variables available in the database.
Autor/es principal/es: Meroño-Cerdán, Angel Luís
López-Nicolás, Carolina
Molina Castillo, Francisco José
Facultad/Servicios: Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Organización de Empresas y Finanzas
Versión del editor: https://www.sciencedirect.com/science/article/pii/S2352340924004128?via%3Dihub
https://www.sciencedirect.com/science/article/pii/S2352340924004128?via%3Dihub
URI: http://hdl.handle.net/10201/149351
DOI: https://doi.org/10.1016/j.dib.2024.110443
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 8
Derechos: info:eu-repo/semantics/openAccess
Atribución-NoComercial 4.0 Internacional
Descripción: ©2024. This manuscript version is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc/4.0/ This document is the Published version of a Published Work that appeared in final form in Data in Brief. To access the final edited and published work see https://doi.org/10.1016/j.dib.2024.110443
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