Основан в 1907 году
в России и за рубежом
об образовательной организации
The main aim of this paper is to analyze the possible ways of using of
agent technology in hotel business on the example of Russian Federation.
According to key findings, Russian hotel market has seven distinct
states. The occurrence of next state can be predicted so we have some
kind of decision-making system or early warning system. In addition,
characteristics of these states may be used as a target (potential) in
revenue management system of hotel enterprise instead of rack rate and
maximum occupancy. Presently it is necessary to understand that complex
research methods would be used for forecasting and decision-making in
modern economic conditions. So, agent technology can be a good solution
for understandings of hidden relationships and finding optimal response
in hospitality and tourism.