Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Economic and Social Trends for Sustainability of Modern Society; Krasnoyarsk; Krasnoyarsk

Год издания: 2020

Идентификатор DOI: 10.15405/epsbs.2020.10.03.177

Ключевые слова: HoReCa industry, competitive sustainability matrix, resource landscape, risk background, Strategic Decisions

Аннотация: Nowadays, HoReCa industry is in the top of the fastest growing business facilities in Russia. But despite the significant capacity of this market, its development in Russia is extremely heterogeneous in the regions: where the positions of some players are quite stable and this contributes to the stability of development, and in some regions the industry is so “precarious" that the hotel and restaurant business is forming extremely fragmented. However, there are a lot of changes in HoReCa segment, which are forcing market players in all regions to pay more and more attention to maintaining their competitive positions. This article proposes a matrix model for determining the competitive stability of HoReCa industry, which allows segmenting Federal Districts by this indicator. The key parameters that determine competitive stability are the resource landscape in the industry itself and the risk background of the external environment. The author's matrix of competitive stability can be used as a diagnostic tool for the development of the hotel and restaurant business in the region, contributing to the efficiency of functioning in the turbulent environment. The capabilities of the matrix allow proactively identifying crises of competitive stability, creating the prerequisites for the formation of proactive and adequate to the dynamics of the environment strategic decisions.

Журнал: European Proceedings of Social and Behavioural Sciences EpSBS

Выпуск журнала: 90

Номера страниц: 1537-1548

Место издания: Krasnoyarsk

Издатель: European Proceedings

• Vashko Tat'yana (Siberian Federal University)
• Grigor'eva Natal'ya (Siberian Federal University)
• Zdrestova-Zaharenkova Svetlana (Siberian Federal University)
• Maksimenko Irina (Siberian Federal University)

• РИНЦ (eLIBRARY.RU)