Delimiting the “Balaton Riviera” tourist destination by using network analysis
نویسنده
چکیده
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 effi ciency 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 identifi ed 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 verifi ed, 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.
منابع مشابه
The Impact of Social Network on Italian Users’ Behavioural Intention for the Choice of a Medical Tourist Destination
Tourism represents one of the most important industries in the global economy. Medical tourism is not a new phenomenon: mankind has traveled to foreign lands to access treatment for many years. Current research in information and communication technology considerably affects the tourism industry by providing innovative tools capable, on the one hand, of supporting tourists in organizing their h...
متن کاملPrivate Accommodation in Tourist Destination Offer – the Case of Dubrovnik
For a long time basic accommodation capacities represented the dominant type of accommodation in tourist offer, while at the same time complementary accommodation capacities were neglected. However, recently there has been a growing interest for complementary, substitute types of tourist accommodation, both in the Republic of Croatia and in Dubrovnik, where since 2000 a significant increase of ...
متن کاملRoad trip in China: The mediation effect of perceived value and tourist satisfaction on the relationship between destination image and loyalty
This study aims to test a model linking destination image, perceived value, tourist satisfaction, and tourist loyalty. Based on a sample of 300 tourists travelling by car from the World Natural Heritage Site of Tianchi, China, a new model of destination image was explored and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results revealed that perceiv...
متن کاملCar Tourism in China: The Mediation Effect of Perceived Value and Tourist Satisfaction on the Relationship between Destination Image and Loyalty
This study aims to test a model linking destination image, perceived value, tourist satisfaction, and tourist loyalty. Based on a sample of 300 tourists travelling by car from the World Natural Heritage Site of Tianchi, China, a new model of destination image was explored and data were analysed using partial least squares structural equation modelling (PLS-SEM). The results show that perceived ...
متن کاملCar Tourism in Xinjiang: The Mediation Effect of Perceived Value and Tourist Satisfaction on the Relationship between Destination Image and Loyalty
This study aims to test a model linking destination image, perceived value, tourist satisfaction, and tourist loyalty. Based on a sample of 300 tourists travelling by car from the World Natural Heritage Site of Tianchi, China, a new model of destination image was explored and data were analysed using partial least squares structural equation modelling (PLS-SEM). The results show that perceived ...
متن کامل