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Destination product characteristics as useful predictors for repeat visiting and recommendation segmentation variables in tourism: a CHAID exhaustive analysis
Author(s) -
Vassiliadis Chris A.
Publication year - 2008
Publication title -
international journal of tourism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.155
H-Index - 58
eISSN - 1522-1970
pISSN - 1099-2340
DOI - 10.1002/jtr.678
Subject(s) - chaid , tourism , market segmentation , product (mathematics) , german , destinations , marketing , segmentation , advertising , geography , business , computer science , decision tree , data mining , artificial intelligence , mathematics , geometry , archaeology
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.