Characterising a socio-technical approach to knowledge management - Cases in small to medium sized software enterprises (SMEs)

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

With promises of reinventing the organisation, practitioners, consultants and academics alike jumped on the Knowledge Management (KM) bandwagon in the late 1990s. It has typically been larger organisations that have possessed the economies of scale i.e. the financial resources to pursue this strategy, where they perceive they will lose their market share if they do not follow the trend while smaller organisations have not had the same luxury. Ironically, it is these small businesses that have successfully managed knowledge for centuries. However, the success of the KM approach is too tightly linked to the implementation of Knowledge Management Systems (KMS). Although information systems are integral to a KM approach, from an organisational perspective, it is essential that alternative mechanisms which support a formalised KM approach are better understood in order to make a suitable match between the organization's knowledge needs with the most fitting modes available to support the activity. Consequently, using multiple case studies, this study presents a well rounded view of the KM approach, identifying both routine and non-routine modes of knowledge processing for small software organisations, addressing the balance of usage associated with supporting knowledge requirements, in order to improve the organisation's ability to be more flexible in the face of change.

Original languageEnglish
Title of host publicationBridging the Socio-Technical Gap in Decision Support Systems
PublisherIOS Press
Pages383-392
Number of pages10
ISBN (Print)9781607505761
DOIs
Publication statusPublished - 2010

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume212
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • Knowledge Activity (KA)
  • Knowledge Management (KM)
  • non-routine modes and knowledge processing
  • routine modes
  • Small to Medium Sized Software Enterprises (SMES)

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