Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/11015
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dc.contributor.authorRoskladka, A.-
dc.contributor.authorRoskladka, N.-
dc.contributor.authorDluhopolskyi, O.-
dc.contributor.authorKharlamova, G.-
dc.contributor.authorKiziloglu, M.-
dc.date.accessioned2019-08-16T13:34:29Z-
dc.date.available2019-08-16T13:34:29Z-
dc.date.issued2018-
dc.identifier.issn1814-2427-
dc.identifier.urihttps://hdl.handle.net/11499/11015-
dc.identifier.urihttps://doi.org/10.21511/im.14(4).2018.02-
dc.description.abstractThe article contains a thorough study of tourist flows in Ukraine during the last 18 years. The tendencies of the development of international tourism during the last 20 years and their influence on the development of tourism in Ukraine have been explored. Particular attention is paid to the analysis of inbound tourist flows. The negative dynamics of tourist arrivals in Ukraine led to the construction of a forecast model for the development of this component of tourism activity with the aim of an objective assessment of future tourist arrivals and the adoption of effective management decisions on improving the situation of tourism in Ukraine. Tourist destinations today are rigorously competing for consumer interest in tourism products. In view of this, tourist facilities operating in the tourist market place particular emphasis on the elements of tourism marketing (product, price, distribution, advertising, human capital, actual data, processes). Modern forecasting systems and methods have been used to build a forecast of tourism development in Ukraine and, in particular, arrivals of foreign tourists to Ukraine. An analytical forecasting model was built by the system of CurveExpert in the form of a polynomial function, analytical forecasting models were built by the system of computer algebra Maple in the form of piecewise linear and piecewise polynomial functions. Numerical prediction models in the MathCAD system using different types of spline-interpolation and predictive functions have been constructed. A comparative analysis of the results of forecasting in different systems was carried out. The results of the comparative analysis give confidence in the development of inbound tourism in Ukraine. © Limited Liability Companyen_US
dc.language.isoenen_US
dc.publisherLLC CPC Business Perspectivesen_US
dc.relation.ispartofInnovative Marketingen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectData analysisen_US
dc.subjectForecastingen_US
dc.subjectTourismen_US
dc.subjectTourism development in Ukraineen_US
dc.subjectTourism managementen_US
dc.subjectTourist flowsen_US
dc.titleData analysis and forecasting of tourism development in Ukraineen_US
dc.typeReviewen_US
dc.identifier.volume14en_US
dc.identifier.issue4en_US
dc.identifier.startpage19
dc.identifier.startpage19en_US
dc.identifier.endpage33en_US
dc.identifier.doi10.21511/im.14(4).2018.02-
dc.relation.publicationcategoryDiğeren_US
dc.identifier.scopus2-s2.0-85061939083en_US
dc.identifier.scopusquality--
dc.ownerPamukkale University-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeReview-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.dept33.03. Administration and Organization-
Appears in Collections:Kale Meslek Yüksekokulu Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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