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Knowledge Management Paradoxes
Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
2009 (English)In: Electronic Journal of Knowledge Management, ISSN 1479-4411, E-ISSN 1479-4411, Vol. 7, no 1, p. 1-10Article in journal (Refereed) Published
Abstract [en]

Knowledge management, as an academic area, is maturing; however, there are still problems connected with both the diversity of the theoretical base and the gap between theory and its practical application. In this paper we tackle these problems by reviewing a number of basic knowledge management theories with the intention of formulating a more integrated and at the same time practical planning framework. The focus guiding the literature selection is on basic theories about the nature of knowledge management, theories that expose the complex nature of knowledge in organizations. We examine these theories and try to understand what could be perceived as the paradoxical nature of these theories. Here we understand a paradox as something seemingly self-contradictory though perhaps actually well-founded statement. We focus on four areas or themes: 1) knowledge as the key resource of a business, 2) knowledge as a competitive force and source of growth, 3) the nature of the management of a knowledge resource, and 4) the management of knowledge workers. From a practical point of view, the conflicting arguments of these theories can be seen as possible strategic options. Based on these discussions we then formulate a framework, or what might be called a strategic option generator. As a concluding discussion we focus on the contribution of IS/IT to the realization of the different possible strategic options. This is done on a rather general level, where we examine the possibilities of IS/IT in relation to the paradoxes.

Place, publisher, year, edition, pages
Reading, England: Academic Conferences International Limited , 2009. Vol. 7, no 1, p. 1-10
Keywords [en]
knowledge management
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:vxu:diva-6563OAI: oai:DiVA.org:vxu-6563DiVA, id: diva2:285077
Available from: 2010-01-11 Created: 2010-01-11 Last updated: 2018-01-12Bibliographically approved

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Aidemark, Jan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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