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An empirical investigation of network relationships in the market

Author

Listed:
  • Svetlana V. Orekhova

    (Ural State University of Economics, Ekaterinburg, Russia)

  • Vera S. Zarutskaya

    (Ural State University of Economics, Ekaterinburg, Russia)

  • Evgeny V. Kislitsyn

    (Ural State University of Economics, Ekaterinburg, Russia)

Abstract

A tense epidemiological situation and accelerated digitalization have shifted the focus of particular markets and the entire economy towards developing network relationships. In contrast to traditional industry markets, networks have a number of specific features, and measuring them is a crucial research objective. The paper develops an integrated algorithm that allows assessing the network characteristics of the market. The methodological framework includes a set of strategic management theories, which are dominated by the network (relational) approach. The methodological tools embrace a system of indicators generalized in the form of graph theory. The object of the study is the network of tourism services of the Russian Federation, which covers more than 10 types of economic activity. The authors propose calculating indicators of the macro-level (for the entire network) and the micro-level (for specific network nodes). Estimates of the structure, relationships, clustering and other parameters of the tourism services market in Russia testifies to its network nature, value co-creation by all network nodes, significant clustering and the presence of stable flows. Further studies will be concentrating on economic characteristics of the network relationships in the market.

Suggested Citation

  • Svetlana V. Orekhova & Vera S. Zarutskaya & Evgeny V. Kislitsyn, 2021. "An empirical investigation of network relationships in the market," Upravlenets, Ural State University of Economics, vol. 12(1), pages 32-46, March.
    • Handle: RePEc:url:upravl:v:12:y:2021:i:1:p:32-46
    DOI: 10.29141/2218-5003-2021-12-1-3
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    References listed on IDEAS

    as
    1. Baggio, Rodolfo, 2007. "The web graph of a tourism system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 727-734.
    2. Svetlana V. Orekhova & Dmitriy A. Azarov, 2020. "Industrial complex: Evolution of a research programme," Journal of New Economy, Ural State University of Economics, vol. 21(2), pages 5-23, July.
    3. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

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