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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5111

Title: Key characteristics relevant for selecting knowledge management software tools
Authors: Smuts, H
Van der Merwe, A
Loock, M
Keywords: Information science reference
Knowledge management
Knowledge management
Library science
Issue Date: Jul-2011
Publisher: IGI Global Publishers
Citation: Smuts, H, Van der Merwe, A, and Loock, M. 2011. Key characteristics relevant for selecting knowledge management software tools. Innovative Knowledge Management - Concepts for Organizational Creativity and Collaborative Design, pp. 18-39
Series/Report no.: Workflow;6841
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, the authors 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.
Description: Copyright: 2011 IGI Global Publishers.
URI: http://www.irma-international.org/chapter/key-characteristics-relevant-selecting-knowledge/47219/
http://hdl.handle.net/10204/5111
ISBN: 978-1-60566-702-7
Appears in Collections:Enterprise engineering
General science, engineering & technology

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