Memorias de investigación
Ponencias en congresos:
Empirical Validation of the Global Entrepreneurship Monitor Conceptual Framework in Spanish New Technology-Based Firms
Año:2019
Áreas de investigación
  • Ciencias sociales
Datos
Descripción
This study validates empirically the components of the Global Entrepreneurship Monitor Conceptual Framework (GEMCF) related (1) to the educational background of the entrepreneur, (2) the society?s perception of entrepreneurship and (3) the individual?s perceived capabilities. These factors? ability to explain entrepreneurship within a specific entrepreneurial ecosystem (New Technology-Based Firms, NTBF) is sought after. A structured methodology is designed, including the definition of components of the model to be validated, definition of observed variables of those components, data collection through surveys, and analyses of the data. In particular, Exploratory Factor Analysis for validation of chosen observed variables, Structural Equation Modelling (SEM) for validation of correlation among components (using Confirmatory Factor Analysis) and validation of causal relationships between components and entrepreneurship (using Structural Modelling) as proposed by the GEMCF have been used. Results obtained prove the robustness of the GEMCF.
Internacional
Si
Nombre congreso
17th LACCEI International Multi-Conference for Engineering, Education, and Technology
Tipo de participación
960
Lugar del congreso
Jamaica
Revisores
Si
ISBN o ISSN
978-84-939196-5-8
DOI
Fecha inicio congreso
24/07/2019
Fecha fin congreso
26/07/2019
Desde la página
231
Hasta la página
240
Título de las actas
Industry, Innovation, And Infrastructure for Sustainable Cities and Communities
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Innovación, Propiedad industrial y Política tecnológica (INNOPRO)
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística