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Trudy SPIIRAN, 2018, Issue 56, Pages 5–33
DOI: https://doi.org/10.15622/sp.56.1
(Mi trspy985)
 

This article is cited in 3 scientific papers (total in 3 papers)

Artificial Intelligence, Knowledge and Data Engineering

Knowledge management in production networks: classification of knowledge reuse techniques

K. Sandkuhla, A. V. Smirnovb

a The University of Rostock (Germany)
b St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS)
Abstract: Many studies in the field of knowledge management indicate that enterprises and organizations establishing systematic sharing, transfer and reuse of knowledge can expect substantial benefits. Although sharing and transfer of knowledge requires a way to transfer or capture knowledge, not much work has been spent in investigating what kinds of reuse techniques are used in organizations. Starting from a classification of approaches to knowledge reuse, this paper investigates the state of knowledge reuse in production networks with a specific focus on networks of small and medium-sized enterprises (SME). The aim of the paper is twofold: for production networks, the intention is to investigate which kind of reusable knowledge, in terms of the classification developed, is most relevant for such networks; for the approach to the classification of knowledge reuse techniques, the aim is to further refine the approach and validate it in the field of production network research. The main contributions of this paper are (1) an analysis of reuse situations in SME networks, (2) evaluation of the proposed approach to the knowledge reuse classification for use in the reuse situations and (3) further refinement and validation of the classification approach.
Keywords: knowledge transfer; knowledge representation; production networks; SME networks.
Funding agency Grant number
Russian Science Foundation 15-18-30048
This research is supported by RSF (project no. 15-18-30048).
Bibliographic databases:
Document Type: Article
UDC: 004.8
Language: English
Citation: K. Sandkuhl, A. V. Smirnov, “Knowledge management in production networks: classification of knowledge reuse techniques”, Tr. SPIIRAN, 56 (2018), 5–33
Citation in format AMSBIB
\Bibitem{SanSmi18}
\by K.~Sandkuhl, A.~V.~Smirnov
\paper Knowledge management in production networks: classification of knowledge reuse techniques
\jour Tr. SPIIRAN
\yr 2018
\vol 56
\pages 5--33
\mathnet{http://mi.mathnet.ru/trspy985}
\crossref{https://doi.org/10.15622/sp.56.1}
\elib{https://elibrary.ru/item.asp?id=32431093}
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  • https://www.mathnet.ru/eng/trspy/v56/p5
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
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