Gavrilova, Tatiana and Andreeva, Tatiana
(2012)
Knowledge elicitation techniques in a
knowledge management context.
Journal of Knowledge Management, 16 (5).
pp. 523-537.
ISSN 1367-3270
Abstract
Purpose – A significant part of knowledge and experience in an organization belongs not to the
organization itself, but to the individuals it employs. Therefore, knowledge management (KM) tasks
should include eliciting knowledge from knowledgeable individuals. The paper aims to argue that the
current palette of methods proposed for this in KM discourse is limited by idealistic assumptions about
the behavior of knowledge owners. This paper also aims to enrich the repertoire of methods that can be
used in an organization to extract knowledge (both tacit and explicit) from its employees by bridging KM
and knowledge engineering and its accomplishments in the knowledge elicitation field.
Design/methodology/approach – This paper is based on extensive literature review and 20 years of
experience of one of the authors in applying various knowledge elicitation techniques in multiple
companies and contexts.
Findings – The paper proposes that the special agent (analyst) might be needed to elicit knowledge
from individuals (experts) in order to allow further knowledge sharing and knowledge creation. Based on
this idea, the paper proposes a new classification of the knowledge elicitation techniques that highlights
the role of analyst in the knowledge elicitation process.
Practical implications – The paper contributes to managerial practice by describing a systemic variety
of knowledge elicitation techniques with direct recommendations of their feasibility in the KM context.
Originality/value – The paper contributes to a wider use of knowledge engineering methodologies and
technologies by KM researchers and practitioners in organizations.
| Item Type: |
Article
|
| Additional Information: |
The definitive published version of this article is available at DOI: 10.1108/13673271211246112 |
| Keywords: |
Knowledge management; Knowledge elicitation techniques; Knowledge engineering; |
| Academic Unit: |
Faculty of Social Sciences > School of Business |
| Item ID: |
7052 |
| Identification Number: |
1367-3270 |
| Depositing User: |
Tatiana Andreeva
|
| Date Deposited: |
24 Mar 2016 16:09 |
| Journal or Publication Title: |
Journal of Knowledge Management |
| Publisher: |
Emerald |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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