Measuring Tourist Attitudes and Consumer Behavior

Measuring Tourist Attitudes and Consumer Behavior

Hanin Hosni, Henk Kievit, Periklis D. Drakos, George Angelakis, Gert van Dijk
Copyright: © 2018 |Pages: 13
DOI: 10.4018/IJFBMBM.2018070103
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Abstract

This article explores the general profile and behavior of tourists coming to Crete, and shows how qualitative, multistate data from a tourist survey can be used in market segmentation research using explanatory factor analysis, confirmatory factor analysis and cluster analysis. The primary audience for this study consists of tourism industry practitioners interested in a practical, cost-effective approach to market segmentation analysis. For this study, around 2100 questionnaires were given to tourists who were about to leave Chania at the end of their stay during the 2017 touristic season. After collecting the data and preparing the final database a descriptive data analysis was conducted. Then factor analysis was applied using the principal component analysis (PCA) method. The next step was to apply a cluster analysis with the K-means method. Finally, confirmatory factor analysis (CFA) was used to test the goodness of fit of a prior specified model based on previous studies. The CFA results confirmed that there are clearly two different types of tourists: those who consider Crete as a relaxation destination and those who consider it for recreation activities. These results provide hotel managers with a clearer understanding of the current market segmentation which is useful in terms of pricing decisions. This article fulfills a need to study the tourist's behaviours and profiles in Crete and to classify them according to their activities, needs and budgets.
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2. Research Objectives And Methods

The purpose of this paper is (a) to explore the general profile and behavior of tourists coming to Crete, and (b) perform a market segmentation using exploratory factor analysis, confirmatory factor analysis and K-means cluster analysis based on qualitative and quantitative survey data. The tourism industry managers, along with price sensitivity and operational costs, find this study and market segmentation in particular useful in pricing decisions. An industry may charge some consumers less than competitors; in this case proper pricing interferes with earning more profit. To settle on appropriate prices, tourist segmentation and cost are both essential. Without such an exact market division examination, it is difficult to effectively segment prices (Nagle 1987).

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