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DOI: 10.15507/1991-9468.090.022.201801.008-024
Classification of Networks in Higher Education: A Marketing Analysis of the Club of Ten (Russia)
Irina V. Kotlyarevskaya
Professor of Chair of Marketing, Graduate School of Economics and Management, Ural Federal University named after the First President of Russia B. N. Yeltsin (19 Mira St., Ekaterinburg 620002, Russia), Dr.Sci. (Economy), ORCID: https://orcid.org/0000-0002-8899-7110, Scopus ID: 57192252860, This email address is being protected from spambots. You need JavaScript enabled to view it.
Elena G. Knyazeva
Professor of Chair of Finance, Monetary Circulation and Credit, Graduate School of Economics and Management, Ural Federal University named after the First President of Russia B. N. Yeltsin (19 Mira St., Ekaterinburg 620002, Russia), Dr.Sci. (Economy), ORCID: https://orcid.org/0000-0002-9876-6471, Scopus ID: 57192254905, This email address is being protected from spambots. You need JavaScript enabled to view it.
Larisa I. Yuzvovich
Professor of Chair of Finance, Monetary Circulation and Credit, Graduate School of Economics and Management, Ural Federal University named after the First President of Russia B. N. Yeltsin (19 Mira St., Ekaterinburg 620002, Russia), Dr.Sci. (Economy), ORCID: https://orcid.org/0000-0003-0906-5065, Scopus ID: 56530852700, This email address is being protected from spambots. You need JavaScript enabled to view it.
Yulia A. Maltseva
Associated Professor of Chair of Marketing, Graduate School of Economics and Management, Ural Federal University named after the First President of Russia B. N. Yeltsin (19 Mira St., Ekaterinburg 620002, Russia), Ph.D. (Philosophy), ORCID: https://orcid.org/0000-0002-1121-8748, Scopus ID: 57192248715, This email address is being protected from spambots. You need JavaScript enabled to view it.
Dmitry M. Kochetkov
Head of Scientometrics Department of Рeoples’ Friendship University of Russia (6 Miklukho-Maklaya St., Moscow 117198, Russia), Junior Research Fellow of Institute of Economics of the Ural Branch of the Russian Academy of Sciences (29 Moskovskaya St., Ekaterinburg 620000, Russia), ORCID: https://orcid.org/0000-0001-7890-7532, Researcher ID: I-4979-2015, This email address is being protected from spambots. You need JavaScript enabled to view it.
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. Тhe 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.
Keywords: networking collaboration, marketing analysis, network evaluation, network analysis, classification, higher education
Acknowledgements: the publication has been prepared with the support of the “RUDN University Program 5-100”. The authors would like to express their deepest gratitude to N. G. Popova and T. A. Beavitt, as well as anonymous reviewers.
For citation: Kotlyarevskaya I.V., Knyazeva E.G., Yuzvovich L.I., Maltseva Yu.A., Kochetkov D.M. Classification of Networks in Higher Education: A Marketing Analysis of the Club of Ten (Russia). Integratsiya obrazovaniya = Integration of Education. 2018; 22(1):8-24. DOI: 10.15507/1991-9468.090.022.201801.008-024
Contribution of the authors: Kotlyarevskaya I.V. – concept development; drafting the initial version of the text; critical analysis and revision of the text. Knyazeva E.G. – statement of the general research problem; drafting the initial version of the text; analysis of literature data. Yuzvovich L.I. – drafting the initial version of the text; devel oping the methodology of the research. Maltseva Yu.A. – drafting the initial version of the text; statement of the general research problem; conclusions. Kochetkov D.M. – final revision of the text; analysis of literature data; development of a typology of the networks.
All authors have read and approved the final manuscript.
Submitted 18.07.2017; revised 29.08.2017; published online 30.03.2018.
This work is licensed under a Creative Commons Attribution 4.0 License.
