Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination
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 ad...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mendel University Press
2016-01-01
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| Series: | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
| Subjects: | |
| Online Access: | https://acta.mendelu.cz/64/2/0677/ |
| _version_ | 1811283361179631616 |
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| author | Ida Vajčnerová Jakub Šácha Kateřina Ryglová Pavel Žiaran |
| author_facet | Ida Vajčnerová Jakub Šácha Kateřina Ryglová Pavel Žiaran |
| author_sort | Ida Vajčnerová |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T02:10:08Z |
| format | Article |
| id | doaj.art-1610db55f79d45b6b11ca68ed74e6f84 |
| institution | Directory Open Access Journal |
| issn | 1211-8516 2464-8310 |
| language | English |
| last_indexed | 2024-04-13T02:10:08Z |
| publishDate | 2016-01-01 |
| publisher | Mendel University Press |
| record_format | Article |
| series | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
| spelling | doaj.art-1610db55f79d45b6b11ca68ed74e6f842022-12-22T03:07:20ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102016-01-0164267768210.11118/actaun201664020677Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a DestinationIda Vajčnerová0Jakub Šácha1Kateřina Ryglová2Pavel Žiaran3Department of Management, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicDepartment of Statistics and Operation Analysis, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicDepartment of Marketing and Trade, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicDepartment of Management, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech RepublicThe 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.https://acta.mendelu.cz/64/2/0677/Cluster AnalysisPrincipal Component Analysisdestinationquality factorsquality evaluation |
| spellingShingle | Ida Vajčnerová Jakub Šácha Kateřina Ryglová Pavel Žiaran Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis Cluster Analysis Principal Component Analysis destination quality factors quality evaluation |
| title | Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination |
| title_full | Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination |
| title_fullStr | Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination |
| title_full_unstemmed | Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination |
| title_short | Using the Cluster Analysis and the Principal Component Analysis in Evaluating the Quality of a Destination |
| title_sort | using the cluster analysis and the principal component analysis in evaluating the quality of a destination |
| topic | Cluster Analysis Principal Component Analysis destination quality factors quality evaluation |
| url | https://acta.mendelu.cz/64/2/0677/ |
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