SHS Web Conf.
Volume 65, 2019The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019)
|Number of page(s)||7|
|Section||Mathematical Methods, Models, Informational Systems and Technologies in Economics|
|Published online||29 May 2019|
Modeling of development of the internal market of tourist services in Ukraine, based on the principles of cluster management
Kyiv National Economic University named after Vadym Hetman, Department of Economics and Entrepreneurship, Kyiv, Ukraine
2 Kyiv National University of Technology and Design, Department of Economics and Entrepreneurship, Kyiv, Ukraine
3 National Academy of Management, Department of Marketing, Economics, Management and Administration, Kyiv, Ukraine
* Corresponding author: firstname.lastname@example.org
The article is devoted to the modeling of the development of the domestic tourist services market in Ukraine on the basis of cluster management. The authors identify trends in the market of tourist services, taking into account behavioral reactions of consumers. The authors determined the main tendency in the Ukrainian market of tourist services, which is the interdependence of the dynamics of consumption of tourist services and material well-being of the middle-income population. The criterial model of development of the tourist region on the basis of cluster management of the internal market of tourist services of Ukraine is developed. The authors noted that, in criterial model the assessment of the level of development of the tourist region is carried out according to several criterias, each of which is estimated using an integrated weighted estimate of a set of indicators, which, using the expert estimation method, allows us to evaluate the factors that form one or another criterion. Critical maps for development of tourist regions of Ukraine are offered: Carpathian region, Polesie region, Central region, Azov-Black Sea region. The principles of development of the internal market of tourist services of Ukraine are determined on the principles of cluster management.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.