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FORECAST OF USING NEURAL NETWORKS IN THE TOURISM SECTOR

Miroslav Karahuta (), Peter Gallo (), Daniela Matušíková (), Anna Šenková and Kristina Sambronska
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Miroslav Karahuta: University of Prešov
Peter Gallo: University of Prešov

CBU International Conference Proceedings, 2017, vol. 5, issue 0, 218-223

Abstract: The paper addresses the issue of management decision-making using artificial neural networks and their application in hotel management. Today, the development of tourism is of great importance and plays a very important role in the development of national economy. Balanced ranking and prediction model using financial and non-financial indicators with the application of artificial intelligence, allows us to reach a high level of effectivity and accuracy in evaluation of the financial and non-financial health of companies operating in this segment. This approach improves the manager’s ability to understand complex contexts and make better decisions for further development. It also brings new managerial and scientific point of view of an in-depth analysis of the performance of these facilities. It can help the development of tourism in terms of the application of modern management techniques built on scientific principles and thereby better integrate science and practice.

Keywords: Prediction modelsfinancial health; neural networks; management; tourism (search for similar items in EconPapers)
JEL-codes: C45 Z32 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:aad:iseicj:v:5:y:2017:i:0:p:218-223

DOI: 10.12955/cbup.v5.928

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