loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hanlie Smuts 1 ; Alta van der Merwe 2 and Marianne Loock 1

Affiliations: 1 UNISA, South Africa ; 2 UNISA and Meraka Institute, South Africa

Keyword(s): Knowledge management characteristics, Knowledge management system selection.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Web Information Systems and Technologies

Abstract: The shift to knowledge as the primary source of value results in the new economy being led by those who manage knowledge effectively. Today’s organisations are creating and leveraging knowledge, data and information at an unprecedented pace – a phenomenon that makes the use of technology not an option, but a necessity. Software tools in knowledge management are a collection of technologies and are not necessarily acquired as a single software solution. Furthermore, these knowledge management software tools have the advantage of using the organisation’s existing information technology infrastructure. Organisations and business decision makers spend a great deal of resources and make significant investments in the latest technology, systems and infrastructure to support knowledge management. It is imperative that these investments are validated properly, made wisely and that the most appropriate technologies and software tools are selected or combined to facilitate knowledge management . In this paper, we propose a set of characteristics that should support decision makers in the selection of software tools for knowledge management. These characteristics were derived from both in-depth interviews and existing theory in publications. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.167.11

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Smuts, H.; der Merwe, A. and Loock, M. (2009). KEY CHARACTERISTICS IN SELECTING SOFTWARE TOOLS FOR KNOWLEDGE MANAGEMENT. In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-85-2; ISSN 2184-4992, SciTePress, pages 170-179. DOI: 10.5220/0001991401700179

@conference{iceis09,
author={Hanlie Smuts. and Alta van {der Merwe}. and Marianne Loock.},
title={KEY CHARACTERISTICS IN SELECTING SOFTWARE TOOLS FOR KNOWLEDGE MANAGEMENT},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2009},
pages={170-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001991401700179},
isbn={978-989-8111-85-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - KEY CHARACTERISTICS IN SELECTING SOFTWARE TOOLS FOR KNOWLEDGE MANAGEMENT
SN - 978-989-8111-85-2
IS - 2184-4992
AU - Smuts, H.
AU - der Merwe, A.
AU - Loock, M.
PY - 2009
SP - 170
EP - 179
DO - 10.5220/0001991401700179
PB - SciTePress