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Authors: Tatiana Gavrilova ; Dmitry Kudryavtsev and Anna Menshikova

Affiliation: St. Petersburg State University, Russian Federation

Keyword(s): Knowledge Management, Innovation, Knowledge Typology, Customer Orientation, Knowledge Representation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The INNOVARRA project is focused on the research and development of new models and methods of knowledge management in the enterprises. The project aims to identify and develop knowledge management methods and tools, which are the most appropriate for particular knowledge type and domain of any company, as well as have the greatest impact on the final results of Russian companies. Special attention is paid to the knowledge typology development, which helps to differentiate and select knowledge management tools and methods. Research methodology is interdisciplinary and includes both the behaviourist methods of empirical studies (surveys, statistical analysis) and design-oriented methods such as ontology engineering, system analysis and enterprise architecture management.

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Paper citation in several formats:
Gavrilova, T.; Kudryavtsev, D. and Menshikova, A. (2015). Innovations in Organisational Knowledge Management - Typology, Methodology and Recommendations. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 447-452. DOI: 10.5220/0005643604470452

@conference{keod15,
author={Tatiana Gavrilova. and Dmitry Kudryavtsev. and Anna Menshikova.},
title={Innovations in Organisational Knowledge Management - Typology, Methodology and Recommendations},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD},
year={2015},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005643604470452},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KEOD
TI - Innovations in Organisational Knowledge Management - Typology, Methodology and Recommendations
SN - 978-989-758-158-8
IS - 2184-3228
AU - Gavrilova, T.
AU - Kudryavtsev, D.
AU - Menshikova, A.
PY - 2015
SP - 447
EP - 452
DO - 10.5220/0005643604470452
PB - SciTePress