Paper Info
Title
Knowledge Elicitation Techniques in a Knowledge Management Context.
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.
Year
DOI
Venue
2012
10.1108/13673271211246112
JOURNAL OF KNOWLEDGE MANAGEMENT
Keywords
Field
DocType
Knowledge management,Knowledge elicitation techniques,Knowledge engineering
Procedural knowledge,Body of knowledge,Knowledge integration,Domain knowledge,Computer science,Personal knowledge management,Knowledge management,Knowledge value chain,Organizational learning,Knowledge engineering,Management science
Journal
Volume
Issue
ISSN
16
4
1367-3270
Citations 
PageRank 
References 
13
1.01
9
Authors
2
Name
Order
Citations
PageRank
Tatiana Gavrilova15615.02
Tatiana Andreeva2612.72