Selected tacit knowledge observations within two organisations

  • Authors:

  • Peter Busch;Debbie Richards;C. N. G. 'Kit' Dampney;John Galloway

  • Affiliations:

  • Department of Computing, Macquarie University, North Ryde, N.S.W.;Department of Computing, Macquarie University, North Ryde, N.S.W.;School of Design, Communications and Information Technology, University of Newcastle, Callaghan, N.S.W.;Netmap Analytics Pty Ltd, St Leonards, Sydney and University of Technology, Sydney

  • Venue:
  • VIP '02 Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22
  • Year:
  • 2003

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Abstract

Given that tacit knowledge is necessary to firstly understand the codified knowledge, and secondly that the tacit element often comprises the majority of our knowledge assets, it is time to turn attention toward this phenomenon. Our approach makes use of expert versus novice comparisons as a means of interpreting the likelihood of an individual possessing tacit knowledge. In addition to descriptive statistics as a means of interpreting results, we choose to incorporate formal concept analysis to provide an alternative visualisation of questionnaire responses. Our incorporation of social network analysis maps the flows or likely non-flows between individuals within the IS domain. We present here the initial results from two small organizations, which we refer to as organization Y and Z.