Pregled bibliografske jedinice broj: 751251
Impacts on travel and holiday accommodation online booking in selected South-East European countries: a multivariate analysis approach
Impacts on travel and holiday accommodation online booking in selected South-East European countries: a multivariate analysis approach // Croatian operational research review, 6 (2015), 1; 155-168 doi:10.17535/crorr.2015.0013 (međunarodna recenzija, članak, znanstveni)
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Naslov
Impacts on travel and holiday accommodation online booking in selected South-East European countries: a multivariate analysis approach
Autori
Dumičić, Ksenija ; Žmuk, Berislav ; Čeh Časni, Anita
Izvornik
Croatian operational research review (1848-0225) 6
(2015), 1;
155-168
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
booking online ; profile diagram ; hierarchical clustering ; non-hierarchical cluster analysis ; tree-diagram ; linear regression modelling
Sažetak
This paper investigates the impacts of economic indicators and the Internet penetration rate, as well as people’s ICT skills based on the Percentage of Individuals who booked travel and holiday accommodation over the Internet as the main variable under study. Recent data on member states in the European Union (EU28) are analysed, including data on the three official EU candidate countries: Turkey, the FYR of Macedonia and Serbia. The research focuses on the position of the above mentioned EU candidates, considered part of South East Europe (SEE) and the Western Balkans (WB). The main variable under study and four variables making a statistically significant impact on the main variable are explored. High positive correlations between pairs of the variables for 30 countries were found. Multiple linear regression modelling using the OLS estimators resulted in several acceptable models. Most hierarchical and non-hierarchical clustering methods resulted in clear grouping of the SEE countries (Turkey, the FYR of Macedonia, Serbia, Bulgaria and Romania) into the same clusters. Other more developed SEE countries in terms of the analysed variables and utilizing specific clustering techniques joined other EU countries in different combination setups.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Ovaj rad je u potpunosti podržan od strane Hrvatske zaklade za znanost kao dio znanstvenog projekta „Statistical Modelling for Response to Crisis and Economic Growth in Western Balkan Countries“ (STRENGTHS) ; Broj projekta: HRZZ-IP-2013-11-9402. Voditeljica: prof. dr. sc. Ksenija Dumičić.
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-9402 - Statističko modeliranje odgovora na krizu i ekonomskog rasta zemalja Zapadnog Balkana (STRENGTHS) (Dumičić, Ksenija, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit
Uključenost u ostale bibliografske baze podataka::
- EconLit
- INSPEC
- Current Index to Statistics
- Current Mathematical Publications
- Mathematical Reviews (MathSciNet)
- EBSCO host
- Genamics Journal Seek database
- Hrcak
- ProQuest
- Web of Science (Conference Proceedings Index)
- Zentralblatt fuer Mathematik/Mathematics Abstract
- MATH on STN International (CompactMath)