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dc.contributor.authorKotlyarevskaya, I. V.en
dc.contributor.authorKnyazeva, E. G.en
dc.contributor.authorYuzvovich, L. I.en
dc.contributor.authorMaltseva, Yu. A.en
dc.contributor.authorKochetkov, D. M.en
dc.date.accessioned2019-07-22T06:45:53Z-
dc.date.available2019-07-22T06:45:53Z-
dc.date.issued2018-
dc.identifier.citationClassification of networks in higher education: A marketing analysis of the club of ten (Russia) / I. V. Kotlyarevskaya, E. G. Knyazeva, L. I. Yuzvovich et al. // Integration of Education. — 2018. — Vol. 22. — Iss. 1. — P. 8-24.en
dc.identifier.issn1991-9468-
dc.identifier.otherhttp://edumag.mrsu.ru/content/pdf/19-1.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.otherf03ecac3-b1eb-460c-b016-a9ac1213c919pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85045879506m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75272-
dc.description.abstractIntroduction: the networking as a development practice in business has not yet become widespread. Moreover, there are very few studies of network interactions in the field of science and education. Advances in marketing evaluation of network entities are very rare. The goal of this article is to develop methodological criteria for such an assessment. These methods were tested on findings from the network partnership established by federal universities in Russia. Materials and Methods: to study and generalise real-world experience, a case study method was used, which the authors understand as an empirical research method aimed at studying phenomena in real time and in the context of real life. Results: the authors proposed a comprehensive methodology for estimation of networks. The application of this method of analysis enabled identification of the key problems and barriers to the implementation of the project. One of the main problems is the lack of marketing analysis, lack of understanding of its target audience, and, accordingly, the lack of a transparent vision of development. Besides, the authors have developed a classification of network partnerships. ?he analysis empowers classification of the network of Russian universities as an inter-organisational polycentric partnership of a quasi-integration type, based on a neoclassical contract with relational elements. The analysis of the network development has revealed significant deviations of the results from the initially claimed ones. Discussion and Conclusions: the theoretical significance of the work consists in the application of the network theory to an atypical object for the economic theory, i.e. the analysis of the sphere of higher education. Practical significance lies in the possibility of application of results obtained through real projects in real-time mode. The results of the study are applicable to educational systems for practically all countries with a transition type of economic and educational systems. © 2018 National Research Ogarev Mordovia State University. All rights reserved.en
dc.description.sponsorshipThis project was carried out by a group of developers from Kazan National Research Technical University named after A. N. Tupolev-KAI with the support of the European Commission through the European academic programme TEMPUS, the project MetaMath implemented in 2013-2017 (Grant Agreement No. 543851-TEMPUS-1-2013-1-DE-TEMPUS-JPCR).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherNational Research Ogarev Mordovia State Universityen
dc.publisherМордовский государственный университет им. Н.П. Огарёваru
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIntegration of Educationen
dc.subjectCLASSIFICATIONen
dc.subjectHIGHER EDUCATIONen
dc.subjectMARKETING ANALYSISen
dc.subjectNETWORK ANALYSISen
dc.subjectNETWORK EVALUATIONen
dc.subjectNETWORKING COLLABORATIONen
dc.titleClassification of networks in higher education: A marketing analysis of the club of ten (Russia)en
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi32612727-
dc.identifier.doi10.15507/1991-9468.090.022.201801.008-024-
dc.identifier.scopus85045879506-
local.affiliationUral Federal University Named after First President of Russia B. N. Yeltsin, Ekaterinburg, Russian Federationen
local.affiliationPeoples' Friendship University of Russia, Moscow, Russian Federationen
local.contributor.employeeКотляревская Ирина Васильевнаru
local.contributor.employeeКнязева Елена Геннадьевнаru
local.contributor.employeeЮзвович Лариса Ивановнаru
local.contributor.employeeМальцева Юлия Анатольевнаru
local.contributor.employeeКочетков Дмитрий Михайловичru
local.description.firstpage8-
local.description.lastpage24-
local.issue1-
local.volume22-
local.identifier.pure7140934-
local.identifier.eid2-s2.0-85045879506-
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