Abstract:
Sustainable development and increasing competitiveness are the main tasks of managing a scientific organization. The analysis of competencies provides a detailed understanding of the available resources when forming a development strategy, and their assessment - knowledge of the strengths and risks in its implementation. The development of competencies inevitably leads to the organizational consolidation of resources in the departments of a scientific organization - centers of competence. The aim of the study is to develop a methodological framework for identifying and assessing centers of competence in the field of aircraft construction. The proposed technique involves the use of full-text search and analysis tools for scientific and technical documents to identify research areas, technologies and affiliated centers. To obtain categorical assessments of the level of development of centers of competence, an original approach is proposed, including the approximation of the mass of scientific and technical documents using s-curves and their analysis using the theory of fuzzy sets. The article proposes a methodology for identifying and evaluating centers of scientific competence in aviation science and presents the results of its testing on the example of 143 such centers in the field of aircraft construction in Russia. The developed methodology allows the use of full-text search and analytical tools for the analysis of competencies, which ensures the formation of a detailed assessment of the available resources when planning the development of a scientific organization in the field of aircraft construction. In the future, it is planned to automate the proposed methodology by integrating the relevant modules into the developed expert information system for the search, analysis and accounting of knowledge in aircraft construction.
Keywords:
digital content, semantic search, Artificial Intelligence, fuzzy sets, aircraft, safety of air activities, complex scientific and technological projects, aircraft construction, strategic planning.
The study was carried out with the financial support of the Russian Foundation for Basic Research within the framework of research projects No. 18-29-03215 and No. 17-29-07016.
Document Type:
Article
Language: Russian
Citation:
V. G. Belenkov, V. I. Budzko, D. A. Devyatkin, A. V. Kan, I. S. Mikhailin, I. V. Sochenkov, I. A. Tikhomirov, V. S. Shapkin, “Methodology for identifying centers of excellence in aviation science based on publication and patent activity”, Proceedings of ISP RAS, 32:4 (2020), 21–40
\Bibitem{BelBudDev20}
\by V.~G.~Belenkov, V.~I.~Budzko, D.~A.~Devyatkin, A.~V.~Kan, I.~S.~Mikhailin, I.~V.~Sochenkov, I.~A.~Tikhomirov, V.~S.~Shapkin
\paper Methodology for identifying centers of excellence in aviation science based on publication and patent activity
\jour Proceedings of ISP RAS
\yr 2020
\vol 32
\issue 4
\pages 21--40
\mathnet{http://mi.mathnet.ru/tisp522}
\crossref{https://doi.org/10.15514/ISPRAS-2020-32(4)-2}
Linking options:
https://www.mathnet.ru/eng/tisp522
https://www.mathnet.ru/eng/tisp/v32/i4/p21
This publication is cited in the following 1 articles:
N. V. Melekh, A. O. Averyanov, V. A. Gurtov, “Comparative analysis of the topics of scientific publications in the field of artificial intelligence in international and Russian journals”, Èkonomika i upravlenie, 29:9 (2023), 1128
Citation in format AMSBIB
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