Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43908740" target="_blank" >RIV/62156489:43110/16:43908740 - isvavai.cz</a>

Výsledek na webu

<a href="http://acta.mendelu.cz/media/pdf/actaun_2016064020677.pdf" target="_blank" >http://acta.mendelu.cz/media/pdf/actaun_2016064020677.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201664020677" target="_blank" >10.11118/actaun201664020677</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination

Popis výsledku v původním jazyce

The objective of the paper is to explore possibilities of evaluating the quality of a tourist destination by means of the principal components analysis (PCA) and the cluster analysis. In the paper both types of analysis are compared on the basis of the results they provide. The aim is to identify advantage and limits of both methods and provide methodological suggestion for their further use in the tourism research. The analyses is based on the primary data from the customers' satisfaction survey with the key quality factors of a destination. As output of the two statistical methods is creation of groups or cluster of quality factors that are similar in terms of respondents' evaluations, in order to facilitate the evaluation of the quality of tourist destinations. Results shows the possibility to use both tested methods. The paper is elaborated in the frame of wider research project aimed to develop a methodology for the quality evaluation of tourist destinations, especially in the context of customer satisfaction and loyalty.

Název v anglickém jazyce

Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination

Popis výsledku anglicky

The objective of the paper is to explore possibilities of evaluating the quality of a tourist destination by means of the principal components analysis (PCA) and the cluster analysis. In the paper both types of analysis are compared on the basis of the results they provide. The aim is to identify advantage and limits of both methods and provide methodological suggestion for their further use in the tourism research. The analyses is based on the primary data from the customers' satisfaction survey with the key quality factors of a destination. As output of the two statistical methods is creation of groups or cluster of quality factors that are similar in terms of respondents' evaluations, in order to facilitate the evaluation of the quality of tourist destinations. Results shows the possibility to use both tested methods. The paper is elaborated in the frame of wider research project aimed to develop a methodology for the quality evaluation of tourist destinations, especially in the context of customer satisfaction and loyalty.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

—

Projekt

<a href="/cs/project/GA15-21179S" target="_blank" >GA15-21179S: Hodnocení kvality destinace cestovního ruchu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

677-682

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84969964537