Modelo de ecuaciones estructurales aplicado a la gestión del conocimiento en la cadena productiva de la agroindustria del maiz (Zea mays L.) = Model of structural equations applied to the management of knowledge in the maize agribusiness production chain (Zea mays L.)

Martínez Soto, Moisés and Rodríguez Monroy, Carlos and Morris Díaz, Anne and Prado-Carpio, Eveligh and Villa, José (2019). Modelo de ecuaciones estructurales aplicado a la gestión del conocimiento en la cadena productiva de la agroindustria del maiz (Zea mays L.) = Model of structural equations applied to the management of knowledge in the maize agribusiness production chain (Zea mays L.). In: "17th LACCEI International Multi-Conference for Engineering, Education, and Technology: Industry, Innovation, And Infrastructure for Sustainable Cities and Communities (LACCEI)", 24-26 Jul 2019, Jamaica. ISBN 978-0-9993443-6-1. pp. 1-16. https://doi.org/10.18687/LACCEI2019.1.1.217.

Description

Title: Modelo de ecuaciones estructurales aplicado a la gestión del conocimiento en la cadena productiva de la agroindustria del maiz (Zea mays L.) = Model of structural equations applied to the management of knowledge in the maize agribusiness production chain (Zea mays L.)
Author/s:
  • Martínez Soto, Moisés
  • Rodríguez Monroy, Carlos
  • Morris Díaz, Anne
  • Prado-Carpio, Eveligh
  • Villa, José
Item Type: Presentation at Congress or Conference (Article)
Event Title: 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: Industry, Innovation, And Infrastructure for Sustainable Cities and Communities (LACCEI)
Event Dates: 24-26 Jul 2019
Event Location: Jamaica
Title of Book: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date: 2019
ISBN: 978-0-9993443-6-1
Subjects:
Freetext Keywords: Information management; intangible and intangible assets associated with the product; management and innovative environment
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Knowledge management consists of the identification, quantification and management of intangible assets in organizations and production processes, in order to contribute to the development of their competitiveness and sustainability. Due to its global importance and in particular in Venezuela, the productive chain of the corn agroindustry deserves to be investigated from this perspective. It has four links: corn producers, processing industry, commerce and finally, suppliers of goods and services. The objective of this research is to develop a factorial model of knowledge management in the productive chain of corn agroindustry. In this sense, the study population was constituted by owners, supervisors, technicians, administrators and operators of the most representative organizations and companies of said chain of production in Venezuela. In the first phase, four empirical field studies were carried out corresponding to the four links of the productive chain. These studies were descriptive-correlational, nonexperimental, transectional and ex post facto, which allowed to identify the determinant indicators of the management of the knowledge in said production chain. In this second phase, a model of structured equations was applied to the data obtained in the first phase, counting for this purpose with the statistical software SPSS version 24. It was obtained as a result that the factors of the structural model are the management of the information, ?product "with its associated intangible assets and management framed in an innovative environment. It is recommended to continue deepening this line of research in relation to each of the factors of the model and implement an action program that allows explaining the results of this research to the actors of the production chain of the maize agroindustry in Venezuela.

More information

Item ID: 65342
DC Identifier: http://oa.upm.es/65342/
OAI Identifier: oai:oa.upm.es:65342
DOI: 10.18687/LACCEI2019.1.1.217
Official URL: http://laccei.org/LACCEI2019-MontegoBay/
Deposited by: Memoria Investigacion
Deposited on: 18 Nov 2020 14:48
Last Modified: 17 Dec 2020 15:32
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