Delimiting the "Balaton Riviera" tourist destination by using network analysis

Recently the recognition of the role, potential within, and analysis of networks has been increasing in business and academic areasl. Network analysis has also been applied widely in tourism, as numerous researchers are studying connections among elements of tourism, with the main focus on destinati...

Full description

Bibliographic Details
Main Authors: Eszter Madarász, Zsófia Papp
Format: Article
Language:English
Published: Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences 2013-10-01
Series:Hungarian Geographical Bulletin
Subjects:
Online Access:https://ojs.mtak.hu/index.php/hungeobull/article/view/2963
id doaj-8a7891e801c24b4683f4959d18487ac5
record_format Article
spelling doaj-8a7891e801c24b4683f4959d18487ac52020-11-25T03:04:37ZengResearch Centre for Astronomy and Earth Sciences, Hungarian Academy of SciencesHungarian Geographical Bulletin2064-50312064-51472013-10-016232893122963Delimiting the "Balaton Riviera" tourist destination by using network analysisEszter Madarász0Zsófia Papp1Department of Tourism, Faculty of Business and Economics, University of Pannonia, Veszprém, HungaryDepartment of Tourism, Faculty of Business and Economics, University of Pannonia, Veszprém, HungaryRecently the recognition of the role, potential within, and analysis of networks has been increasing in business and academic areasl. Network analysis has also been applied widely in tourism, as numerous researchers are studying connections among elements of tourism, with the main focus on destinations, cooperation and the efficiency of cooperation among players of destination management organisations. The methodology applied in those researches has reinvented social network analyis, which has noteable historical roots in mathematics, sociology, and anthropology. As identified in the title, the subject of this study aims to delimit destinations which have been researched in a micro-region (Felsőörs, Lovas, Paloznak, Alsóörs, Csopak) of a Balaton Region, Hungary’s number one tourist destination as well as the local destination management organisation “Balaton Riviera”. Analyzing the data we can conclude that our hypothesis posed at the beginning of the research is verified, namely in the case of this micro region the connections among the actors mark the boundaries of the destination. For the time being, the scope of this research is limited to pilot research only, but thanks to sophisticated methodology and soft wares it can be upscaled to manage huge databases as well, and therefore the results achieved herein can be tested elsewhere and generalized.https://ojs.mtak.hu/index.php/hungeobull/article/view/2963tourist destinationsocial network analysisdestination management organisationbalaton region
collection DOAJ
language English
format Article
sources DOAJ
author Eszter Madarász
Zsófia Papp
spellingShingle Eszter Madarász
Zsófia Papp
Delimiting the "Balaton Riviera" tourist destination by using network analysis
Hungarian Geographical Bulletin
tourist destination
social network analysis
destination management organisation
balaton region
author_facet Eszter Madarász
Zsófia Papp
author_sort Eszter Madarász
title Delimiting the "Balaton Riviera" tourist destination by using network analysis
title_short Delimiting the "Balaton Riviera" tourist destination by using network analysis
title_full Delimiting the "Balaton Riviera" tourist destination by using network analysis
title_fullStr Delimiting the "Balaton Riviera" tourist destination by using network analysis
title_full_unstemmed Delimiting the "Balaton Riviera" tourist destination by using network analysis
title_sort delimiting the "balaton riviera" tourist destination by using network analysis
publisher Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences
series Hungarian Geographical Bulletin
issn 2064-5031
2064-5147
publishDate 2013-10-01
description Recently the recognition of the role, potential within, and analysis of networks has been increasing in business and academic areasl. Network analysis has also been applied widely in tourism, as numerous researchers are studying connections among elements of tourism, with the main focus on destinations, cooperation and the efficiency of cooperation among players of destination management organisations. The methodology applied in those researches has reinvented social network analyis, which has noteable historical roots in mathematics, sociology, and anthropology. As identified in the title, the subject of this study aims to delimit destinations which have been researched in a micro-region (Felsőörs, Lovas, Paloznak, Alsóörs, Csopak) of a Balaton Region, Hungary’s number one tourist destination as well as the local destination management organisation “Balaton Riviera”. Analyzing the data we can conclude that our hypothesis posed at the beginning of the research is verified, namely in the case of this micro region the connections among the actors mark the boundaries of the destination. For the time being, the scope of this research is limited to pilot research only, but thanks to sophisticated methodology and soft wares it can be upscaled to manage huge databases as well, and therefore the results achieved herein can be tested elsewhere and generalized.
topic tourist destination
social network analysis
destination management organisation
balaton region
url https://ojs.mtak.hu/index.php/hungeobull/article/view/2963
work_keys_str_mv AT esztermadarasz delimitingthebalatonrivieratouristdestinationbyusingnetworkanalysis
AT zsofiapapp delimitingthebalatonrivieratouristdestinationbyusingnetworkanalysis
_version_ 1724680776780349440