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undergraduate thesis
Metode prognoziranja turističke potražnje
Dubrovnik: University of Dubrovnik, 2019. urn:nbn:hr:155:834172
Batista, Adrian
University of Dubrovnik
Faculty of Economics and Business

Institutional repository: Repository of the University of Dubrovnik

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Batista, A. (2019). Metode prognoziranja turističke potražnje (Undergraduate thesis). Dubrovnik: University of Dubrovnik. Retrieved from https://urn.nsk.hr/urn:nbn:hr:155:834172

Batista, Adrian. "Metode prognoziranja turističke potražnje." Undergraduate thesis, University of Dubrovnik, 2019. https://urn.nsk.hr/urn:nbn:hr:155:834172

Batista, Adrian. "Metode prognoziranja turističke potražnje." Undergraduate thesis, University of Dubrovnik, 2019. https://urn.nsk.hr/urn:nbn:hr:155:834172

Batista, A. (2019). 'Metode prognoziranja turističke potražnje', Undergraduate thesis, University of Dubrovnik, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:155:834172

Batista A. Metode prognoziranja turističke potražnje [Undergraduate thesis]. Dubrovnik: University of Dubrovnik; 2019 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:155:834172

A. Batista, "Metode prognoziranja turističke potražnje", Undergraduate thesis, University of Dubrovnik, Dubrovnik, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:155:834172

Metadata
TitleMetode prognoziranja turističke potražnje
Title (english)Tourism Demand Forecasting Methods
AuthorAdrian Batista
MentorIvana Pavlić (mentor)
Committee memberAna Portolan (predsjednik povjerenstva)
Committee memberBarbara Puh (član povjerenstva)
GranterUniversity of Dubrovnik
(Faculty of Economics and Business)
Dubrovnik
Defense date and country2019-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Marketing
Abstract
Tema rada su metode prognoziranja turističke potražnje. U tu svrhu, započinje se s teorijskim odrednicama turističke potražnje – definicijom, njezinim specifičnostima i najvažnijim karakteristikama. Učinjena je i pojmovna distinkcija domaće i inozemne turističke potražnje. Naglašava se važnost inozemne turističke potražnje u hrvatskom turizmu, budući da inozemni gosti čine dominantan udio u strukturi ukupnih dolazaka i noćenja turista u Republici Hrvatskoj. Analizira se prognoziranje turističke potražnje i metode koje se najčešće primjenjuju u tu svrhu. U radu je prikazana je delfi metoda – kvalitativna metoda prognoziranja, dok su od kvantitativnih metoda prikazane analiza vremenskih serija, naivni modeli, modeli izglađivanja, te primjena ekstrapolacije trenda i Box – Jenkinsov model.
Abstract (english)
The theme of this paper is the methods of forecasting tourist demand. For this purpose, it begins with the theoretical determinants of tourism demand - the definition of tourist demand and its specifics and the most important characteristics. The conceptual distinction of both domestic and foreign tourist demand has been made. It is emphasized the importance of foreign tourist demand in Croatian tourism, since foreign guests make up the dominant share in the structure of total arrivals and tourist nights in the Republic of Croatia. Tourism demand forecasting and methods most commonly used for this purpose. This paper presents the delphi method - a qualitative method of forecasting, while the quantitative methods show the analysis of time series, naive models, smoothing models, application of trend extrapolation and the Box – Jenkinsov model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:155:834172
Study programmeTitle: Business Economics; specializations in: Tourism, Marketing, International Trade, IT Management
Course: Tourism
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Public note4051
Created on2019-10-18 08:38:48