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Потенциал аграрного вуза: научные школы, анализ активов, направления развития

Stukach, Victor and Shumakova, Oksana (2024): Потенциал аграрного вуза: научные школы, анализ активов, направления развития. Published in: Управление образованием: теория и практика. , Vol. 51, No. 5 (51). (2022): pp. 101-114.

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Abstract

The paper solves an applied problem: at a specific object of observation, the scientific school of Omsk State University named after P. A. Stolypin "Problems of infrastructural development of the agro-industrial complex of the Siberian region", to consider the prospects of the university in the context of responding to the challenges of the time, characterized by turbulence of world economic relations. Working hypothesis: based on the measurement and assessment of the potential of the scientific school, to identify the relevance of the research, the state and priorities in the scientific support of the agrarian economy of the region. The school's assets have accepted completed scientific developments, publications based on the materials of defended dissertations, monographs, educational publications, and publications of the school in an international database for analysis RePEc.org , other scientific publications during the period of the school's operation. The content analysis method was used to determine the demand for scientific products that aroused the greatest interest among consumers (readers). The most in-demand, time-sensitive research for the agricultural economy has been identified. The data obtained were a source in determining the prospects for working in the conditions of socio –political turbulence of world economic relations in order to navigate the topic when planning promising research areas. The algorithm of a successfully completed study on social domestic food assistance to the population, which has been highly appreciated by the scientific community and internationally recognized, is proposed. The significance of the research lies in the fact that a methodology for analyzing information from scientometric systems has been proposed and demonstrated in the framework of scientific publications to assess the potential of a scientific school and select promising areas of development.

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