Agent Technology in Hotel Business

  • Dmitry Aleksandrovich KOZLOV Plekhanov Russian University of Economics, Russian Federation

Abstract

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.

References

[1] Batzold, M., Navarro, M., Julián, V., and Botti, V. 2003. Desarrollo de servicios turísticos a usuarios. Paper presented at the Conference of the Spanish Association for Artificial Intelligence (CAEPIA), November 12-14, in San Sebastian, Spain.
[2] Belyansky, V.P., Layko, M.Yu., Popov, L.A., and Kozlov, D.A. 2005. Forecasting in Hospitality Industry and Tourism. Plekhanov Russian University of Economics, Moscow.
[3] Camacho, D., Borrajo, D., Molina, J.M. 2001. Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain. Autonomous Agents and Multi-Agent Systems, 4(4): 387-5.
[4] Kozlov, D.A. 2016. Modelling and forecasting of Russian outbound tourism. Actual Problems of Economics, 181(7): 446-7.
[5] Lee Raymond, S. T. 2006. Fuzzy-Neuro Approach to Agent Applications: From the AI Perspective to Modern Ontology. Springer Series in Agent Technology.
[6] Lopez, J.S., and Bustos, F.A. 2006. MultiAgent Tourism System: An Agent Application on the Tourism Industry. International Joint Conference IBERAMIA/SBIA/SBRN 2006 – 1st Workshop on Industrial Applications of Distributed Intelligent Systems (INADIS’2006), October 23-27, in Ribeirao Preto, Brazil.
[7] Moreno, A. 2007. Agent Applications in Tourism. Issues in Multi-Agent Systems. In part of the series Whitestein Series in Software Agent Technologies and Autonomic Computing.
[8] Tung, H.-W., and Soo, V.-W. 2004. A Personalized Restaurant Recommender Agent for Mobile E-Service. Paper presented at the IEEE International Conference on e-Technology, e-Commerce, and e-Service, IEEE, March 28-31, in Taipei, Taiwan.
[9] Vanhove, N. 2010. The Economics of Tourism Destinations. 2nd Edition. Elsevier.
Published
2017-06-15
How to Cite
KOZLOV, Dmitry Aleksandrovich. Agent Technology in Hotel Business. Journal of Environmental Management and Tourism, [S.l.], v. 8, n. 2, p. 285-290, june 2017. ISSN 2068-7729. Available at: <https://journals.aserspublishing.eu/jemt/article/view/1180>. Date accessed: 24 dec. 2024. doi: https://doi.org/10.14505//jemt.v8.2(18).01.