Measuring personal networks and their relationship with scientific production

The analysis of social networks has remained a crucial and yet understudied aspect of the efforts to measure Triple Helix linkages. The Triple Helix model aims to explain, among other aspects of knowledge-based societies, ¿the current research system in its social context. This paper develops a novel approach to study the research system from the perspective of the individual, through the analysis of the relationships among researchers, and between them and other social actors. We develop a new set of techniques and show how they can be applied to the study of a specific case (a group of academics within a university department). We analyse their informal social networks and show how a relationship exists between the characteristics of an individual¿s network of social links and his or her research output

A gender study of principal investigator lead public R&D centres and funding

To survive and grow public Research and Development (R&D) centres need to raise competitive funds (Bazeley, 1998; Lee and Om, 1996; Munoz, 2007; Santamaria, Brage-Gil and Modrego, 2010). The factors that may influence the capacity of national R&D teams within R&D centres to apply for and obtain competitive funding does not seem to have been studied in depth. The purpose of study is to firstly examine whether a consistent set of priorities defined by R&D Centre lead principal investigators secures more competitive funding. Secondly, to examine whether the PI gender moderates the effect of the PI’s priorities on the amount of competitive public funds that the R&D team of the PI obtains. Our study focuses on R&D activities carried out in Spanish public centres in the areas of Health and Biomedicine. Our results found that there were no gender differences in relation to the acquisition of competitive funding which is contrary to findings of other studies (Mayer and Rathmann, 2018 and Lerchenmueller and Sorenson, 2018).This study has benefited from financing from Research Project ECO2014-56580-R and ECO2016-80002-R of the Spanish Ministry of Economy and Competitiveness

Metodología SAFER: Una propuesta de identificación de las empresas familiares en España a partir de la base de datos SABI

Despite the fact that family firms represent a large percentage of all firms worldwide, methodological contributions regarding their estimation are very scarce. This paper offers a methodology for identifying family versus non-family firms using the SABI Informa database (Spanish version of Orbis) as a source of information, considering mainly ownership and corporate governance variables for their classification. The design of the Safer methodology allows its application 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, finding a classification error of less than five percent. This methodology has been also discussed and assumed by IEF (Instituto de la Empresa Familiar), becoming a standard in Spain. This work provides researchers with a consensus methodology for the selection of samples of family firms, which can be transferred to equivalent databases in other countries (e.g., AIDA, Italian company data or Markus in Germany), or scaled up to the Orbis database. Finally, our results also represent an advance 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.A pesar de que las empresas familiares representan un gran porcentaje del conjunto de empresas a nivel mundial, las aportaciones metodológicas acerca de su estimación son muy escasas. El presente trabajo ofrece una metodología de identificación de empresas familiares versus no familiares utilizando como fuente de información la base de datos SABI Informa (versión española de Orbis), considerando fundamentalmente variables de propiedad y de gobierno corporativo para su clasificación. El diseño de la metodología SAFER permite su aplicación sin necesidad de realizar una extracción masiva de datos, lo que contribuye a su accesibilidad y facilidad de uso por parte de los investigadores. Asimismo, la metodología propuesta ha sido testada utilizando una muestra de 500 empresas, encontrando un error de clasificación inferior al cinco por ciento. Este trabajo aporta a los investigadores una metodología consensuada para la selección de muestras de empresas familiares, pudiendo ser trasladada a bases de datos equivalentes en otros países (e.g., AIDA, Italian company data o Markus en Alemania), o escaladas a la base de datos Orbis de ámbito global. Finalmente, nuestros resultados también representan un avance al facilitar la labor de los profesionales y responsables políticos en el desarrollo de informes sobre empresas familiares a través de un proceso riguroso de identificación y clasificación

Metodología SAFER: Una propuesta de identificación de las empresas familiares en España a partir de la base de datos SABI

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.A pesar de que las empresas familiares representan un gran porcentaje del conjunto de compañías a nivel mundial, las aportaciones metodológicas para identificarlas son muy escasas. El presente trabajo ofrece una metodología (denominada “metodología SAFER”) de identificación de empresas familiares versus no familiares utilizando como fuente de información la base de datos SABI (versión española de Orbis), considerando fundamentalmente variables de propiedad y de gobierno corporativo. La metodología SAFER permite su aplicación sin necesidad de realizar una extracción masiva de datos, lo que contribuye a su accesibilidad y facilidad de uso por parte de los investigadores. Asimismo, la metodología propuesta ha sido contrastada utilizando una muestra de 500 empresas, con un error de clasificación inferior al cinco por ciento. El valor añadido de este trabajo es ofrecer a los investigadores una estrategia ampliamente aceptada para la selección de muestras de empresas familiares. La metodología también puede utilizarse con bases de datos equivalentes en otros países (p.ej., AIDA para datos de empresas italianas o Markus en Alemania) o bases de datos que tienen una cobertura internacional (p.ej., Orbis). Nuestros resultados representan un avance importante al facilitar la labor de los profesionales y responsables políticos en el desarrollo de informes sobre empresas familiares a través de un proceso riguroso de identificación y clasificación

SAFER methodology: a proposal for the identification of family firms in Spain based on the SABI database

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.A pesar de que las empresas familiares representan un gran porcentaje del conjunto de compañías a nivel mundial, las aportaciones metodológicas para identificarlas son muy escasas. El presente trabajo ofrece una metodología (denominada metodología SAFER) de identificación de empresas familiares versus no familiares utilizando como fuente de información la base de datos SABI (versión española de Orbis), considerando fundamentalmente variables de propiedad y de gobierno corporativo. La metodología SAFER permite su aplicación sin necesidad de realizar una extracción masiva de datos, lo que contribuye a su accesibilidad y facilidad de uso por parte de los investigadores. Asimismo, la metodología propuesta ha sido contrastada utilizando una muestra de 500 empresas, con un error de clasificación inferior al cinco por ciento. El valor añadido de este trabajo es ofrecer a los investigadores una estrategia ampliamente aceptada para la selección de muestras de em-presas familiares. La metodología también puede utilizarse con bases de datos equivalentes en otros países (p.ej., AIDA para datos de empresas italianas o Markus en Alemania) o bases de datos que tienen una cobertura internacional (p.ej., Orbis). Nuestros resultados representan un avance importante al facilitar la labor de los profesionales y responsables políti-cos en el desarrollo de informes sobre empresas familiares a través de un proceso riguroso de identificación y clasificació

EMPRESA FAMILIAR, EQUIPOS DIRECTIVOS, DIVERSIDAD Y AMBIDIESTRÍA EN LAS PYMES

The purpose of this paper is to analyze the impact of family character on SMEs’ ambidexterity. We propose that family character-associated capacities and top management demographic characteristics, particularly team diversity, can influence decision making. These characteristics facilitate perceiving environment changes, as well as responding to them with alternatives that allow SMEs to take advantage of such changes. In addition, these characteristics promote skills that can help reconfigure resources. In a sample of 132 SMEs, we demonstrate that family character and team diversity management – both in terms of experience and age – can improve ambidexterity. More specifically, in the more ambidextrous firms, owners and top management showed age and tenure diversity, but no generational diversit

Measuring personal networks and their relationship with scientific production

24 p., 2 figures, 5 tables, 1 appendix and referencesThe analysis of social networks has remained a crucial and yet understudied aspect of the efforts to measure Triple Helix linkages. The Triple Helix model aims to explain, among other aspects of knowledge-based societies, “the current research system in its social context” (Etzkowitz & Leydesdorff, 2000:109). This paper develops a novel approach to study the research system from the perspective of the individual, through the analysis of the relationships among researchers, and between them and other social actors. We develop a new set of techniques and show how they can be applied to the study of a specific case (a group of academics within a university department). We analyse their informal social networks and show how a relationship exists between the characteristics of an individual’s network of social links and his or her research output.Peer reviewe

Guest editors' introduction. Top Management Teams and business strategy: responses and adaptability in turbulent times

The articles we have chosen to include in this special issue provide an interesting combination of theoretical and empirical perspectives. They mirror diverse realities and, consequently different strategic responses to the environmental challenges. While the first two artibles focus on the influence of the Top Management Team on adoption of an ambidextrous behavior and innovation activities to keep the firm’s competitiveness both in the short and long term, the third one pays attention to the impact of CEO changes or continuity in circumstances of organizational crisis and turnover. The debate about whether the CEO or the TMT should be mainly considered as the unit of analysis in research on strategic leadership remains open. The last paper expliclity tries to bring light to this debate by providing a framework based on institutional and cultural condition

A gender study of principal investigator lead public R&D centres and funding

To survive and grow public Research and Development (R&D) centres need to raise competitive funds (Bazeley 1998; Lee and Om 1996; Munoz 2007; Santamaria, Brage-Gil and Modrego 2010). The factors that can influence the capacity of national R&D teams within R&D centres to apply for and obtain competitive funding does not seem to have been studied in depth. The purpose of study is to firstly, to examine whether a consistent set of priorities defined by R&D centre lead principal investigators secures more competitive funding. Secondly, to examine whether the PI gender moderates the effect of the PI's priorities on the amount of competitive public funds that the R&D team of the PI obtains. Our study focuses on R&D activities carried out in Spanish public centres in the areas of Health and Biomedicine. Our results found that there were no gender differences in relation to the acquisition of competitive funding which is contrary to findings of other studies (Mayer and Rathmann 2018; Lerchenmueller and Sorenson, 2018).Ministerio de Economía y Competitivida