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Do you know your knowledge at risk?
Institute for Entrepreneurship, University of Liechtenstein, Vaduz, Principality of Liechtenstein.ORCID iD: 0000-0001-8469-2427
Institute for Entrepreneurship, University of Liechtenstein, Vaduz, Principality of Liechtenstein.
2013 (English)In: Measuring Business Excellence, ISSN 1368-3047, E-ISSN 1758-8057, Vol. 17, no 3, p. 28-39Article in journal (Refereed) Published
Abstract [en]

Purpose: This paper seeks to propose and discuss a knowledge management tool which has been designed to enable small to medium-sized enterprises (SMEs) to obtain information about the concentration of relevant knowledge with certain individuals respectively in certain departments. Design/methodology/approach: The tool represents an outcome of the authors' ongoing research activities related to the danger of knowledge loss due to turnover or long-term absence. A static knowledge map was developed based on a series of semi-structured interviews with 14 organization members from a German medium-sized enterprise operating in the printing sector. To apply this knowledge map to a broader range of SMEs a knowledge management tool has been developed. As underlying framework, the IC classification scheme and the concept of social capital were utilized. Findings: The knowledge management tool helps smaller firms to calculate a "knowledge at risk" score, which gives them a better understanding of their critical organization members and what is making them critical. Practical implications: The tool's outcome can illustrate the potential danger of organizational turnover, which hopefully triggers the development and implementation of specific replacement/retention measures in a timely manner. Originality/value: A tool is proposed that identifies indispensable organization members within SMEs. The tool's strength is its simple but powerful nature which does not require long-term preparation and/or training. © Emerald Group Publishing Limited.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2013. Vol. 17, no 3, p. 28-39
Keywords [en]
Ageing staff, Germany, Knowledge loss, Knowledge management, Organizational turnover, Risk management, Small to medium-sized enterprises
National Category
Business Administration
Research subject
Humanities and Social sciences
Identifiers
URN: urn:nbn:se:his:diva-10024DOI: 10.1108/MBE-08-2012-0042Scopus ID: 2-s2.0-84883681331OAI: oai:DiVA.org:his-10024DiVA, id: diva2:750753
Available from: 2014-09-30 Created: 2014-09-29 Last updated: 2017-12-05Bibliographically approved

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Durst, Susanne

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