Knowledge Management Framework using Enterprise Architecture and Business Intelligence

Oswaldo Moscoso-Zea, Sergio Luján-Mora, Cesar Esquetini Cáceres, Norman Schweimanns

2016

Abstract

Knowledge Management (KM) has emerged as a tool which enables the efficient creation, use, distribution and transfer of knowledge in organizations. In the core of KM there are three dimensions of analysis: people, processes and technology. KM Frameworks presented in the past have had a strong theoretical background, but they have not been well explained in terms of how to implement them in practice to cover all KM dimensions. In this paper, a novel KM framework is presented. This framework was designed as a practical guide to implement KM endeavours in organizations. To accomplish our research objective, two management practices are incorporated in the framework: Enterprise Architecture and Business Intelligence. Enterprise Architecture allows companies to visualize organizational objects in different areas (business, applications and technology) through the use of models. Moreover, Business Intelligence technologies as data warehouses, data mining and visualization can enable the capture, transfer and the creation of new and purposeful knowledge. This work is intended to be a good resource for companies or individuals that want to implement a KM initiative.

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Paper Citation


in Harvard Style

Moscoso-Zea O., Luján-Mora S., Cáceres C. and Schweimanns N. (2016). Knowledge Management Framework using Enterprise Architecture and Business Intelligence . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 244-249. DOI: 10.5220/0005916002440249


in Bibtex Style

@conference{iceis16,
author={Oswaldo Moscoso-Zea and Sergio Luján-Mora and Cesar Esquetini Cáceres and Norman Schweimanns},
title={Knowledge Management Framework using Enterprise Architecture and Business Intelligence},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={244-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005916002440249},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Knowledge Management Framework using Enterprise Architecture and Business Intelligence
SN - 978-989-758-187-8
AU - Moscoso-Zea O.
AU - Luján-Mora S.
AU - Cáceres C.
AU - Schweimanns N.
PY - 2016
SP - 244
EP - 249
DO - 10.5220/0005916002440249