Theoretical models of knowledge management: descriptors, conceptualizations and approaches

Main Article Content

Víctor Avendaño Pérez
Matilde Flores Urbáez

Abstract

One of the challenges facing organizations nowadays, it is to transform the knowledge that each individual has, into organizational knowledge and create a collaborative organizational culture that encourages this process to increase the intellectual heritage of the company. Under this context knowledge management appears as a field of study, and as an organizational strategy that permits to address these challenges as they arise; however, due to its recent appearance, the literature is yet heterogeneous in terms of its contents. In this paper we analyze some theoretical models in terms of descriptors and their main orientation models; we analyze the definitions of knowledge and knowledge management placing them in their respective epistemological approaches. It can be deducted from the main results that in the authors whose work was analyzed there is a predominantly objectivist approach to knowledge, the organizational approach to knowledge management and the importance of complementing the use of information technology and communication with the creation of a collaborative organizational climate to optimally manage knowledge in organizations.

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How to Cite
Avendaño Pérez, V., & Flores Urbáez, M. (2017). Theoretical models of knowledge management: descriptors, conceptualizations and approaches. Entreciencias: Diálogos En La Sociedad Del Conocimiento, 4(10). https://doi.org/10.21933/J.EDSC.2016.10.181
Author Biographies

Víctor Avendaño Pérez, Corporación Venezolana de Guayana-Venezolana de Aluminios

Ingeniero de sistemas (Universidad de los Andes), magister en Informática Gerencial (Universidad de Oriente), Especialista de Control y Automatización (Universidad de los Andes), Diploma de Estudios Avanzados DEA en Gestión Tecnológica (Universidad Politécnica de Madrid); superintendente control de procesos (Venezolana de Aluminio Venalum); docente agregado (Universidad Nacional Experimental de Guayana). Investigador en las áreas de Investigación automatización industrial y Gestión del conocimiento.

Matilde Flores Urbáez, Universidad del Zulia

Licenciada en Relaciones Industriales (Universidad Católica Andrés Bello), magister en Planificación y Gerencia de Ciencia y Tecnología (Universidad del Zulia); doctora en Ciencias Sociales mención Gerencia (Universidad del Zulia). profesora titular del Departamento de Ciencias Humanas, Facultad Experimental de Ciencias, Universidad del Zulia. Investigadora acreditada en el Programa Nacional de Estímulo a la Investigación y a la Innovación (PEII). Investigadora en las áreas de Análisis de políticas públicas de ciencia, tecnología y en Gestión del conocimiento, el capital intelectual y la tecnología.