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Biases and Heuristics in Judgement and Decision Making: The Dark Side of Tacit Knowledge

Maqsood, T, Finegan, A and Walker, D (2004). Biases and Heuristics in Judgement and Decision Making: The Dark Side of Tacit Knowledge. Issues in Informing Science and Information Technology,1:295-301.

Document type: Journal Article
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Title Biases and Heuristics in Judgement and Decision Making: The Dark Side of Tacit Knowledge
Author Maqsood, T
Finegan, A
Walker, D
Journal Name Issues in Informing Science and Information Technology
Publication Date 2004
Volume Number 1
ISSN 1547-5867   (check CDU catalogue open catalogue search in new window)
Start Page 295
End Page 301
Total Pages 7
Place of Publication Santa Rosa, CA, USA
Publisher The Informing Science Institute
Field of Research 0807 - Library and Information Studies
0899 - Other Information and Computing Sciences
HERDC Category C1 - Journal Article (DEST)
Abstract The crux of knowledge management theory is to devise different strategies to capture the tacit knowledge of the people in the organization, to make it explicit and to share it throughout the organization. This paper draws from the literature in cognitive psychology and highlights the limitation of the human mind by observing that knowledge is lost out of memory over time. Judgment and gut feelings are usually associated with different forms of biases and heuristics that may influence decision making negatively by altering the context in which the knowledge has been constructed. The paper argues that the timing and context in which tacit knowledge has been shaped is of immense importance when attempting to capture it. It is suggested that, while striving to capture the tacit knowledge of the individuals, it is important to make sure that it is not under the influence of any bias and its context is accurately perceived and preserved. Biased and incomplete knowledge may do more harm than good and should be avoided.
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URL http://iisit.org/
 
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Created: Fri, 12 Sep 2008, 08:35:25 CST by Administrator