An empirical investigation of network relationships in the market
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...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | RU |
| Publicado: |
Ural State University of Economics
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/75dd5c5337574446985b92974baf02ff |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:75dd5c5337574446985b92974baf02ff |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:75dd5c5337574446985b92974baf02ff2021-12-02T12:12:26ZAn empirical investigation of network relationships in the market10.29141/2218-5003-2021-12-1-32218-50032218-5003https://doaj.org/article/75dd5c5337574446985b92974baf02ff2021-03-01T00:00:00Zhttp://upravlenets.usue.ru/ru/-2021/746https://doaj.org/toc/2218-5003https://doaj.org/toc/2218-5003 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.Svetlana V. OrekhovaVera S. ZarutskayaEvgeny V. KislitsynUral State University of Economicsarticlenetworknetwork relationshipstourismmarketstrategic analysisnetwork analysisBusinessHF5001-6182FinanceHG1-9999RUУправленец, Vol 12, Iss 1, Pp 32-46 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
RU |
| topic |
network network relationships tourism market strategic analysis network analysis Business HF5001-6182 Finance HG1-9999 |
| spellingShingle |
network network relationships tourism market strategic analysis network analysis Business HF5001-6182 Finance HG1-9999 Svetlana V. Orekhova Vera S. Zarutskaya Evgeny V. Kislitsyn An empirical investigation of network relationships in the market |
| description |
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. |
| format |
article |
| author |
Svetlana V. Orekhova Vera S. Zarutskaya Evgeny V. Kislitsyn |
| author_facet |
Svetlana V. Orekhova Vera S. Zarutskaya Evgeny V. Kislitsyn |
| author_sort |
Svetlana V. Orekhova |
| title |
An empirical investigation of network relationships in the market |
| title_short |
An empirical investigation of network relationships in the market |
| title_full |
An empirical investigation of network relationships in the market |
| title_fullStr |
An empirical investigation of network relationships in the market |
| title_full_unstemmed |
An empirical investigation of network relationships in the market |
| title_sort |
empirical investigation of network relationships in the market |
| publisher |
Ural State University of Economics |
| publishDate |
2021 |
| url |
https://doaj.org/article/75dd5c5337574446985b92974baf02ff |
| work_keys_str_mv |
AT svetlanavorekhova anempiricalinvestigationofnetworkrelationshipsinthemarket AT veraszarutskaya anempiricalinvestigationofnetworkrelationshipsinthemarket AT evgenyvkislitsyn anempiricalinvestigationofnetworkrelationshipsinthemarket AT svetlanavorekhova empiricalinvestigationofnetworkrelationshipsinthemarket AT veraszarutskaya empiricalinvestigationofnetworkrelationshipsinthemarket AT evgenyvkislitsyn empiricalinvestigationofnetworkrelationshipsinthemarket |
| _version_ |
1718394580622114816 |