| Issue |
SHS Web Conf.
Volume 65, 2019
The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 6 | |
| Section | Modeling of Hospitality Sphere Development | |
| DOI | https://doi.org/10.1051/shsconf/20196505001 | |
| Published online | 29 May 2019 | |
Modeling expectations of resort-tourist market of Ukraine
Berdyansk State Pedagogical University, Department of Economics, Entrepreneurship and Finance, 4, Schmidta str., Berdyansk, 71100, Ukraine
* Corresponding author: pvzz1957@gmail.com
In modern world economy resort recreations is one of the most high-profitable spheres of managing. Ukraine owns the powerful resort and tourist potential, to which effective development can bring a real economic benefit. For this purpose, it is necessary to form of system concept for the development of such systems, which are integral part of the economic transformations. Transformational processes are displayed in shifts in consumption, requirements and ways of their satisfaction. The market environment needs are in the form of demand and ways to meet them mediated by the market in the form of market expectations. They are important for forecasting the behavior of the market of resort and tourist products. As a result, of research was the model of dynamics of trust of the market to transformational changes of the resort and tourist sphere of Ukraine is constructed. Scenarios of change of level of trust at various values of parameters, which correspond to stages of development of transformational economy are received.
© 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.