Segmentation of Russian tourists traveling to Italy, Spain and Greece

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dc.contributor.advisor Campostrini, Stefano it_IT
dc.contributor.author Ciotta, Chiara <1996> it_IT
dc.date.accessioned 2022-02-21 it_IT
dc.date.accessioned 2022-06-22T07:57:48Z
dc.date.issued 2022-03-14 it_IT
dc.identifier.uri http://hdl.handle.net/10579/21111
dc.description.abstract The research activities will focus on the tourist flow from Russia to Italy, Spain and Greece. The growing Russian incoming tourist demand of these three southern European destinations is well known. However, a scarce amount of information is available to European stakeholders. The aim is to collect useful data for the improvement of the services in these countries so that stakeholders understand how to properly ameliorate the provided tourist experience. In this paper the market segmentation method applied to the tourism market will be examined and subsequently the methodology and results of our market research will be shown, including the results of the interviews administered directly to Russian tourists. The thesis research will be based on the Russian tourist segment study previously conducted by Sergey Petrovich Kazakov (associate Professor at the Higher School Economics of Moscow) which is one of the two coordinators of this research, together with Professor of Surveys and Statistical Methods for Tourism at Ca’ Foscari University Stefano Campostrini. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Chiara Ciotta, 2022 it_IT
dc.title Segmentation of Russian tourists traveling to Italy, Spain and Greece it_IT
dc.title.alternative Segmentation of Russian tourists traveling to Italy, Spain and Greece it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Sviluppo interculturale dei sistemi turistici it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2020/2021 - sessione straordinaria - 7 marzo 2022 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 857684 it_IT
dc.subject.miur SECS-S/05 STATISTICA SOCIALE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Chiara Ciotta (857684@stud.unive.it), 2022-02-21 it_IT
dc.provenance.plagiarycheck Stefano Campostrini (stefano.campostrini@unive.it), 2022-03-07 it_IT


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