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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3793

Title: Framework and methodology for knowledge management system implementation
Authors: Smuts, H
Loock, M
Van Der Merwe, A
Kotze, P
Keywords: Knowledge management systems
Knowledge management
Issue Date: Oct-2009
Publisher: Association for Computing Machinery (ACM)
Citation: Smuts, H, Loock, M, Van Der Merwe, A and Kotze, P. 2009. Framework and methodology for knowledge management system implementation. Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT). Vanderbijlpark, South Africa, 12-14 October 2009, pp 10
Abstract: Knowledge assets are of far greater value than any tangible asset and provide organisations with the basis for creating a sustainable competitive advantage. The nature of knowledge and knowledge management have given rise to a range of different definitions of knowledge management systems that enable organisations to convert their knowledge into actionable information that provides them with a competitive edge and innovative capability. Such an implementation process is a comprehensive course of action that requires focus and commitment through-out the organisation in order to achieve results, yet no universally accepted framework or methodology for such a process exists. This paper analyses and describes enhancements to a 12-step process derived by Calabrese and Orlando [6] to implement a knowledge management system aimed at providing a more comprehensive framework and methodology for knowledge management system implementation. These enhancements are based on findings relating to a knowledge management proof of concept implementation conducted at one of the major mobile telecommunication operators in South Africa.
Description: Copyright: ACM 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the South African Institute of Computer Scientists and Information Technologists (SAICSIT) Conference, {978-1-60558-286-3, (2008)} http://doi.acm.org/10.1145/nnnnnn.nnnnnn
URI: http://hdl.handle.net/10204/3793
ISBN: 978-1-60558-643-4
Appears in Collections:Human factors
Enterprise engineering
General science, engineering & technology

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