Linking attitudes and demographics in a tourist segmentation model : a two-stage approach

Segmentation has been widely studied in tourism research e.g. Dolnicar (2004). Dawley (2006) points that commonly used segmentation variables such as demographics lead to identifiable segments which are not actionable while other useful approaches e.g. psychographics, are actionable but not identifiable. The objective of this paper is to develop a two-stage linkage approach to segmentation whereby cluster analysis using psychographic variables is conducted within demographic group. Demographic groups are selected based on propensity to travel. This research utilizes data generated from a cross-sectional self-completed survey of 49,105 Australian respondents on travel and tourism. The managerial usefulness of this segmentation is assessed. Clearly segments can be directly linked both demographically and psychographically.

Tourist benefits research : old and new issues and uses in a cultural tourism context

Benefits sought and gained by tourists are relevant to developing tourist markets for cultural attractions and experiences as this paper will demonstrate. The main objectives of this paper are to identify benefit variables commonly used in tourism marketing, their purpose of use, and associated issues by reviewing existing empirical research of tourism benefits and specifically examining the applications to date in cultural tourism contexts. For the benefits most commonly found in tourist benefit research and of relevance to tourists’ cultural experiences, a benefits typology from the allied area of leisure (Driver & Bruns, 1999) is applied to categorise these benefits and develop a conceptual typology for consideration. Research propositions for future research of tourists’ cultural experiences are also proposed including new uses for benefit variable dimensions.

Measuring customer satisfaction in tourist service encounters

This paper sets out to model quality and satisfaction judgements of college students within four distinct tourist encounters. A novel approach is used where respondents rated an entire service setting by proxy when evaluating a picture in which certain quality variables had been manipulated. Each picture contained separate ôobjectsö of the service that we claim would be evaluated on a cognitive plane along different dimensions for the relevant attributes of each encounter. The scores were then used to develop regression models to estimate the influence of distinct quality factors on overall satisfaction

Sexual and emotional variables influencing sexual response to erotica: a psychophysiological investigation

The relative contribution of attentional and emotional factors to the physiological and subjective sexual arousal elicited by erotic film was evaluated. Sexual arousal, attentional, and emotional responses were measured while 30 men were presented with a series of erotic film segments. Levels of physiological and subjective sexual arousal were higher when subjects became absorbed in the activities portrayed in the film and when they experienced the depicted erotic encounters as appetitive, than when they were distracted and perceived the encounters as aversive. The erotic film elicited a diminished startle response to a sudden burst of white noise presented during stimulation relative to the nature film, suggesting that at a physiological level the erotic segments of film were processed as more appetitive in valence. The level of sexual arousal elicited by the erotic segments was related to the extent to which subjects were entertained by the film, even though there was considerable anxiety generated by the portrayed sexual scenarios. Sexual response was not significantly correlated with trait measures of absorption (as indexed by the Tellegen Absorption Scale) nor with vividness of imagery (as assessed by the Betts Questionnaire upon Mental Imagery). Arousal was related to state-assessed attentional and emotional variables, and physiological measures of emotional response, demonstrating the multidimensional nature of the sexual response Future directions for comparing male sexual response patterns with female response patterns are suggested.

Leisure experiences in tourist attractions : exploring the motivations of local residents

This study was conducted to explore leisure motivations with regard to tourist attractions. A survey of a convenience sample of residents of Melbourne, Australia, was conducted. The sample was then segmented based on the likelihood of visiting a cross-section of Melbourne's tourist attractions in the next 6 months. Analysis using Unger and Kernan's (1983) Subjective Leisure Scale (SLS) was then undertaken to explore whether there were differences across the segments in terms of their leisure motivations. The results highlight that, within this context, intrinsic satisfaction, perceived freedom and arousal emerged as stronger underlying dimensions of motivations to visit tourist attractions, rather than mastery, spontaneity and involvement. This information provides insights for marketers of tourist attractions with regard to what residents are seeking when they visit local tourist attractions. The information can be used to develop more positive experiences at tourist attractions for this important sector of the market.

Accuracy of body size estimation: Role of biopsychosocial variables

This study evaluated factors related to the perceptual disturbances of body image. Using a digital body image computer program, 191 participants (107 women, 82 men) adjusted an image of their body to the perceived actual size at five body regions; chest, waist, hips, thighs and calves. A neutral object (a vase) was also adjusted to partial out the level of perceptual distortion present with a neutral object. Men and women overestimated the size of the neutral object and their body image. Among women, overestimation was primarily predicted by high levels of depression, and media and peer influences to be thinner and increase muscles. Among men, overestimation was predicted by high BMI, media influences to lose weight and increase muscles, and peer influences to increase muscles. These findings suggest that perceptual accuracy of body image is primarily predicted by biopsychosocial influences.

Discovering associations with numeric variables

This paper further develops Aumann and Lindell's [3] proposal for a variant of association rules for which the consequent is a numeric variable. It is argued that these rules can discover useful interactions with numeric data that cannot be discovered directly using traditional association rules with discretization. Alternative measures for identifying interesting rules are proposed. Efficient algorithms are presented that enable these rules to be discovered for dense data sets for which application of Auman and Lindell's algorithm is infeasible.

The relevance of demographic variables in assessing student satisfaction: a study of international postgraduate students

Servicing an increasingly diverse international student community in the globally competitive education market is a challenge faced by Australian universities. Market forecasts indicate a seven-fold increase in the number of students seeking higher education overseas by 2025 (Bohm et al, 2002) and with the growing diversity and competitiveness of the industry, universities will need to focus on factors influencing student satisfaction to improve service quality where required.

This paper, using logistic regression, ANOVA, and MANOVA, investigates the influence of country, age and gender with regard to satisfaction among international postgraduate students from four Asian countries studying in universities in Victoria. The results indicate that there is an inverse relationship between age and satisfaction among postgraduate students while the gender of the students does not have an impact on satisfaction, and that significant differences are evident between the four countries investigated with respect to the levels of satisfaction.

The discovery of generalized causal models with mixed variables using MML criterion

One major difficulty frustrating the application of linear causal models is that they are not easily adapted to cope with discrete data. This is unfortunate since most real problems involve both continuous and discrete variables. In this paper, we consider a class of graphical models which allow both continuous and discrete variables, and propose the parameter estimation method and a structure discovery algorithm based on Minimum Message Length and parameter estimation. Experimental results are given to demonstrate the potential for the application of this method.

Understanding the leisure motives of visitors to tourist attractions

In a period when tourism is contracting, and in a destination with an extensive range of visitor attractions, the importance of local residents visitation is accentuated. The aim of this study was to explore whether there are differences across segments of the local resident market in terms of their motives for engaging in leisure activities within the context of tourist attractions. This study was set within the context of Melbourne, Australia. Melbourne has changed in recent years in terms of the range of attractions available to residents. A sample of 1005 local residents was used as the basis of this study. Cluster analysis was used to segment the sample, based on the intended frequency of visitation to a set of attractions. The motives for engaging in leisure were then explored for each of the segments using Unger and Kernan's (1983) Subjective Leisure Scale (SLS), which encompasses six motivational domains namely intrinsic satisfaction, perceived freedom, arousal, mastery, involvement and spontaneity, was applied in this study of leisure activities was used as the basis of identifying the motives for visiting the attractions.