Memorias de investigación
Capítulo de libro:
A Computer Simulation Model of Knowledge Management in Small and medium Agri-Food Enterprises
Año:2011

Áreas de investigación
  • Ciencias de la tierra,
  • Tecnología de alimentos,
  • Agricultura,
  • Ingenierías,
  • Humanidades y ciencias sociales,
  • Ciencias sociales,
  • Economía

Datos
Descripción
System dynamics is an appropriate tool to build management models due to its ease of application in solving unstructured problems. In the twenty-first century the sustainability of organizations is influenced by the way it manages its knowledge. In this sense, knowledge management (KM) represents a strategy that contributes to improving the production supply chain (SC) of the agri-food industry (AFI). The objective of this research is to develop a computer model to simulate the effect of KM on the production of AFI. The methodology applied was that of the system dynamics by using the Vensim PLE ® v. 5.10 software, whose determining indicators were selected through an empirical study of KM in the SC of precooked corn flour industry in Venezuela. The study concluded that the balanced implementation of KM practices in the strategic dimension and in the functional dimension achieved an increase in production through the stabilization of the system. Further evaluation of the methodology developed in other agro-industrial environments is recommended. Keywords: Small and Medium Enterprises, System Dynamics, Supply Chain, Knowledge Management, Food Industry.
Internacional
Si
DOI
Edición del Libro
1
Editorial del Libro
Universität Bonn-ILB Press, Bonn
ISBN
978-3-941766-13-6
Serie
Título del Libro
5th International European Forum (Igls-Forum) on System Dynamics and Innovation in Food Networks
Desde página
419
Hasta página
434

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería de la Calidad Alimentaria
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
  • Departamento: Estadística y Métodos de Gestión en Agricultura