Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75272
Title: Classification of networks in higher education: A marketing analysis of the club of ten (Russia)
Authors: Kotlyarevskaya, I. V.
Knyazeva, E. G.
Yuzvovich, L. I.
Maltseva, Yu. A.
Kochetkov, D. M.
Issue Date: 2018
Publisher: National Research Ogarev Mordovia State University
Мордовский государственный университет им. Н.П. Огарёва
Citation: Classification 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.
Abstract: Introduction: 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.
Keywords: CLASSIFICATION
HIGHER EDUCATION
MARKETING ANALYSIS
NETWORK ANALYSIS
NETWORK EVALUATION
NETWORKING COLLABORATION
URI: http://elar.urfu.ru/handle/10995/75272
Access: info:eu-repo/semantics/openAccess
RSCI ID: 32612727
SCOPUS ID: 85045879506
PURE ID: 7140934
ISSN: 1991-9468
DOI: 10.15507/1991-9468.090.022.201801.008-024
Sponsorship: This 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).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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