Naslov
Artificial Neural Network-Based Applications in Travel and Tourism Research: A Review and Case Study

Autori
Krešić, Damir ; Mikulić, Josip ; Kožić, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
International critical tourism studies conference / - , 2013

Skup
International Critical Tourism Studies Conference V

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 25.06.2013. - 28.06.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Artificial neural network; tourism; tourist experience
(ANN; tourism; tourist experience)

Sažetak
Although frequently referred to as “black boxes”, artificial neural networks (ANNs) find increasing application in intelligent- and recommender systems in a wide range of industries. In travel and tourism research ANNs have, however, not been extensively used so far. This is despite the fact that first empirical studies in peer-reviewed tourism journals have already been published in the late nineties, introducing ANNs as a valid alternative to traditional regression-based approaches, mostly with regard to demand forecasting purposes. The aim of the present paper, on the one hand, is to provide an overview of available ANN-based studies published in top international travel and tourism journals, which may serve as a starting point and reference list for tourism researchers unfamiliar with ANNs. Basic concepts, main areas of application, as well as major advantages and disadvantages of ANN-based approaches, compared to traditional approaches, are highlighted. On the other hand, this study aims to demonstrate the particular advantages and shortcomings of ANN-based applications using an empirical case example. For this purpose, this study uses data from a survey on attitudes and expenditures of tourists in Sarajevo, Bosnia and Herzegovina, conducted by the Institute for Tourism, Zagreb during summer 2010. In particular, a multilayer perceptron-based key-driver analysis is performed on the data to obtain insight into those destination attributes that have a predominant influence on the overall tourist experience in Sarajevo. Finally, results from the ANN-based analysis are opposed to results from a (traditional) regression-based key-driver analysis in order to identify possible significant differences between the approaches.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

POVEZANOST RADA