Memorias de investigación
Capítulo de libro:
Analysis and Improvement of Knowledge Management Processes in Organizations Using the Business Process Model Notation
Año:2015

Áreas de investigación
  • Modelado de procesos

Datos
Descripción
Successful knowledge management is one of the main challenges for any kind of organization. This paper aims to enhance knowledge management processes within companies and institutions, by analyzing different processes that are part of common stages along all knowledge management lifecycles described in the literature. The processes have been modeled using the Business Process Model and Notation with a high abstraction level, in order to cover a wide range of organizations. The paper also presents a possible evolution and enhancement of knowledge management processes using the Business Process Model and Notation diagrams, including the use of superior and better performing technological solutions to support knowledge management processes. As a result, we propose a set of improvements that can be extrapolated to other knowledge management-related business processes.
Internacional
Si
DOI
10.1007/978-3-319-22204-2_9
Edición del Libro
1
Editorial del Libro
Springer International Publishing
ISBN
978-3-319-22203-5
Serie
Lecture Notes in Business Information Processing
Título del Libro
New Information and Communication Technologies for Knowledge Management in Organizations
Desde página
93
Hasta página
101

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Alicia García Holgado Universidad de Salamanca
  • Autor: Francisco J. García Peñalvo Universidad de Salamanca
  • Autor: Angel Hernandez Garcia UPM
  • Autor: Faraón Llorens Largo Universidad de Alicante

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Innovación, Propiedad industrial y Política tecnológica (INNOPRO)
  • Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística