Destination product characteristics as useful predictors for repeat visiting and recommendation segmentation variables in tourism: a CHAID exhaustive analysis
The present paper constitutes a segmentation research with the use of the exhaustive chi‐squared automatic interaction detection tree analysis approach which, through the characteristics of a tourist destination, aims at the illustration of the English and German tourist groups and more specifically...
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| Veröffentlicht in: | The international journal of tourism research 2008-09, Vol.10 (5), p.439-452 |
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| container_title | The international journal of tourism research |
| container_volume | 10 |
| creator | Vassiliadis, Chris A. |
| description | The present paper constitutes a segmentation research with the use of the exhaustive chi‐squared automatic interaction detection tree analysis approach which, through the characteristics of a tourist destination, aims at the illustration of the English and German tourist groups and more specifically, (i) those who are repeat visitors of several tourist destinations and (ii) those who express a willingness to urge other people to visit geographic tourist destinations that the former have already visited. The results of the research help the tourism managers to apprehend the characteristics of the destination products that best describe the visitors. Copyright © 2008 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/jtr.678 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1099-2340 |
| ispartof | The international journal of tourism research, 2008-09, Vol.10 (5), p.439-452 |
| issn | 1099-2340 1522-1970 |
| language | eng |
| recordid | cdi_proquest_journals_214523788 |
| source | Wiley Online Library Journals Frontfile Complete; EBSCOhost Business Source Complete |
| subjects | destination tourism planning exhaustive CHAID analysis Market segmentation Market statistics repeat visitors segmentation analysis Studies Tourism Tourist attractions visitor recommendations |
| title | Destination product characteristics as useful predictors for repeat visiting and recommendation segmentation variables in tourism: a CHAID exhaustive analysis |
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