SHS Web Conf.
Volume 65, 2019The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2019)
|Number of page(s)
|Modeling of Hospitality Sphere Development
|29 May 2019
Predicting activity results of the specialized tour operator
Cherkasy Bohdan Khmelnytsky National University, Department of Tourism, Hotel and Restaurant Business, Cherkasy, Ukraine
2 International University of Economics and Humanities Academician Stepan Demianchuk, Department of Management, Rivne, Ukraine
* Corresponding author: email@example.com
Hospitality provides wide opportunities for entrepreneurship. Feasibility and forecasting of results have always been relevant for implementation of entrepreneurial ideas. Aim of the study is to clarify specifics of forecasting of specialized tour operators’ activities. Forecasting methods in tourism, as a rule, are based on opinion polls and extrapolation techniques. Difficulties with forecasting of results are related to indefinite part of specialized tours in overall volume of tours. And for every specialized tour this part depends from character and number of factors, which define demand for tourist product. Result of the study is the proposed algorithm for finding of planned sales of specialized tours for ensuring of profitable activities. With the example of gastronomical tours, which have good perspectives in Ukraine, it is proved that planning of more than 25-30% of specialized tours in overall sales of tours is not feasible. Finding of this research can be applied to product development, as well as marketing and strategic planning.
© 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.