Využití analýzy hlavních komponent pro hodnocení kvality destinace cestovního ruchu
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A00185149" target="_blank" >RIV/62156489:43110/12:00185149 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
čeština
Original language name
Using the principal component analysis for evaluating the quality of a tourist destination
Original language description
The article deals with problems concerning evaluating the quality of a tourist destination. The objective of the paper is to create a model for evaluating the quality of a destination on the basis of analysing the importance of individual factors (variables) concerning the quality of a destination. The importance of these factors was determined by relevant responders during a questionnaire survey. For reducing the original number of twenty dependant variables the multidimensional statistical method of analysing the principal components was used. On the basis of similarities in evaluation this method supported clusters of factors -- relative dimensions of the quality of a destination. Subsequently a methodology was formulated to evaluate the quality ofa destination according to four newly-defined dimensions of quality For practical usage a simplified questionnaire can be formulated where responders will evaluate only 4 dimensions of quality instead of twenty factors -- Attractions, Ser
Czech name
Using the principal component analysis for evaluating the quality of a tourist destination
Czech description
The article deals with problems concerning evaluating the quality of a tourist destination. The objective of the paper is to create a model for evaluating the quality of a destination on the basis of analysing the importance of individual factors (variables) concerning the quality of a destination. The importance of these factors was determined by relevant responders during a questionnaire survey. For reducing the original number of twenty dependant variables the multidimensional statistical method of analysing the principal components was used. On the basis of similarities in evaluation this method supported clusters of factors -- relative dimensions of the quality of a destination. Subsequently a methodology was formulated to evaluate the quality ofa destination according to four newly-defined dimensions of quality For practical usage a simplified questionnaire can be formulated where responders will evaluate only 4 dimensions of quality instead of twenty factors -- Attractions, Ser
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
—
Result continuities
Project
—
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
ISSN
1211-8516
e-ISSN
—
Volume of the periodical
LX
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
449-458
UT code for WoS article
—
EID of the result in the Scopus database
—