title: Knowledge Elicitation Techniques in a Knowledge Management Context
metadata.name: dc.contributor.author
metadata.value: Gavrilova, Tatiana A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Andreeva, Tatiana E.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2013-11-27T12:22:14Z
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2014-03-17T05:42:04Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2013-11-27T12:22:14Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2014-03-17T05:42:04Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2012
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/707
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/707
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Purpose – 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 authors argue that the current palette of methods proposed for this in KM discourse is limited by idealistic assumptions about the behaviour of knowledge owners. This paper 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 knowledge elicitation field. Design/methodology/approach – This paper is based on extensive literature review and twenty 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 on the knowledge elicitation techniques that highlights the role of analyst in knowledge elicitation process. Originality/value – The paper contributes to a wider use of knowledge engineering methodologies and technologies by KM researchers and practitioners in organizations. Practical implications – The paper contributes to managerial practice by describing a systemic variety of knowledge elicitation techniques with direct recommendations of their feasibility in KM context.
metadata.lang: ru
metadata.name: dc.description.uri
metadata.value: http://www.emeraldinsight.com/journals.htm?articleid=17042408&show=abstract
metadata.lang: -
metadata.name: dc.language.iso
metadata.value: English
metadata.lang: ru
metadata.name: dc.publisher
metadata.value: Graduate School of Management, Saint Petersburg State University
metadata.lang: -
metadata.name: dc.relation.ispartofseries
metadata.value: Journal of Knowledge Management; Vol. 16, Issue 4, pp. 523-537
metadata.lang: -
metadata.name: dc.subject
metadata.value: knowledge management
metadata.lang: ru
metadata.name: dc.subject
metadata.value: knowledge elicitation techniques
metadata.lang: ru
metadata.name: dc.subject
metadata.value: knowledge engineering
metadata.lang: ru
metadata.name: dc.title
metadata.value: Knowledge Elicitation Techniques in a Knowledge Management Context
metadata.lang: ru
metadata.name: dc.type
metadata.value: Article
metadata.lang: ru