Discriminant Analysis - Useful Tool for Predicting Demand in Serbian Motels

Pavić Lazar (), Veljković Božidar () and Sešel Bojan ()
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Pavić Lazar: Economics Institute, Belgrade, PhD student, Faculty of Sciences, University of Novi Sad, Serbia
Veljković Božidar: Alma Mater Europaea – European center, Maribor, Slovenia
Sešel Bojan: Higher professional school, Celje, Slovenia

Economic Themes, 2018, vol. 56, issue 4, 503-517

Abstract: In this paper, a discriminant analysis, as useful tool to predict potential demand in Serbian motels, is presented. Through the presented literature review, it was determined that there is not a large number of surveys dealing with the needs and demand of transit tourists. Despite that, transit tourism is one of the priority forms of tourism for the Republic of Serbia in accordance with the established Tourism Development Strategy for the Republic of Serbia for the current period. Questionnaire survey as the main method for data collection is used. According to the results, 14 dimensions of potential guests’ expectations are extracted. The results of discriminant function analysis (DFA) present the impact of potential motel guests’ expectations on the main reason for travelling, while the results of canonical varieties analysis (CVA) present the impact of potential motel guests’ expectations on preferred services in Serbian motels.

Keywords: Discriminant Analysis; motel; guests’ expectations dimensions; Serbia; hospitality management; transit tourism (search for similar items in EconPapers)
JEL-codes: Z31 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:ecothe:v:56:y:2018:i:4:p:503-517:n:5

DOI: 10.2478/ethemes-2018-0029

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