Naslov
Smart Tourist Destination Management Using Demand Forecasting Techniques: Using Big Data for Destination Demand Forecasting as Part of a Destination Management System

Autori
Mršić, Leo ; Surla, Gorazd ; Balković, Mislav

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, ostalo

Knjiga
Handbook of Research on Smart Technology Models for Business and Industry

Urednik/ci
Thomas, Joshua ; Vasant, Panadian ; Ugo, Fiore ; Gilberto, Perez, Lechuga ; Valeriy, Kharchenko

Izdavač
IGI Global

Grad
Lahti

Godina
2020

Raspon stranica
273-293

ISBN
9781799836452

Ključne riječi
Smart Tourist Destination Management, Demand Forecasting, Big Data for Destination Demand Forecasting as Part of a Destination Management

Sažetak
Tourism destination is the place where tourism demand and supply meet. Destination is often the main reason why people travel. In the first part of the chapter, the research is focused on the fast growth of tourism in the past decade, which does not come without problems. As one of the most discussed problems, the focus is on overtourism, which started as growth potential and moved into a sustainability issue. The scope of this chapter was to continue previous conducted research in the Croatian coastal town Šibenik and build additional scenarios using technological advancements and available data to build a cornerstone for a data- driven Destination Management System. The results of two experiments suggest that usage of simple techniques can be widely adopted in the search for sustainable management of the destination. In the second part of the research, the authors were able to combine data before outbreak of Coronavirus COVID-19 and during its early growth phase in Croatia to show what devastating impact it has on tourist arrivals in a short period of time and demonstrate in real time how fragile tourism demand is.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA