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A Conceptual framework for evaluating the competitiveness of mobile network operators

Vol. 24, Iss. 10, OCTOBER 2018

PDF  Article PDF Version

Received: 15 May 2018

Received in revised form: 23 July 2018

Accepted: 6 August 2018

Available online: 31 October 2018

Subject Heading: BUSINESS VALUE

JEL Classification: Z23

Pages: 2331–2344

https://doi.org/10.24891/fc.24.10.2331

Nechaeva M.L. Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Nizhny Novgorod Oblast, Russian Federation
khalyavina.mar@yandex.ru

https://orcid.org/0000-0002-5422-3563

Antonov A.V. PAO MegaFon, Nizhny Novgorod, Russian Federation
diilon@yandex.ru

ORCID id: not available

Subject This paper considers the economic relations of mobile communication operators in terms of competitiveness assessment taking into account modern requirements of functioning and development of competitive market.
Objectives The paper aims to analyze the market situation, approaches to the assessment of competitiveness and methods of determining the performance of mobile network operators, as well as form a single evaluation model.
Methods For the study, we used the methods of analysis and synthesis, abstraction and generalization, an economic analysis, and the statistical methods.
Results The paper highlights the factors influencing the competitiveness of mobile network operators and presents developed original methodological tools for assessing their competitive ability. Also, the article offers methodological provisions on management of qualitative indicators that characterize mobile communication services in the conditions of the regional market.
Conclusions and Relevance Influence of factors helps define competitive status and perspective directions for evaluation of the competitiveness of mobile communication services. These studies will be useful for mobile network operators in assessing competitiveness and developing effective marketing strategies.

Keywords: competitiveness, assessment, service cost, financial productivity, factor analysis

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