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PDF Consumer Psychology of Tourism, Hospitality and Leisure

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Kemperman, Department of Urban Planning, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, The Netherlands. Timmermans, Department of Urban Planning, Eindhoven University of Technology, PO Box 513, 5600 MB, Eindhoven, The Netherlands.

Preface

The Fourth Symposium on the Consumer Psychology of Tourism, Hospitality and Leisure will be held in July 2005 in Montreal, Canada, and will be organized by Professor Arch G. More details about the symposium will be available by contacting Professor Woodside at woodsiar@bc .edu.

Building Foundations for Understanding the Consumer Psychology of Tourism, Hospitality and Leisure

  • Attitudes, Emotions and Information Processing
  • Risk perceptions, expectations, disappointments and information processing
  • Consumer emotions and their evaluation of service encounters
  • Social distance and residents’
  • Motivation and Learning Chapter 5: Motivation for domestic tourism
  • Environmental learning by eco- tourists
  • Consumption Systems
  • Domestic leisure travel purchase and consumption systems
  • Tourist activity planning in congested urban tourism environments
  • First-time and repeat visitor activity patterns
  • Decision and Choice
  • Tourist perceptions and motivations
  • Choice and consumption of association convention sites
  • Social interaction and information search in travel decision making
  • Vacation decision making A vacation is, in part, planned in advance, but
  • Personality and leisure constraints in vacation choice
  • Effects of holiday packaging on consideration and choice
  • Experience and Satisfaction
  • Antecedents and consequences of customer satisfaction
  • Destination satisfaction The determinants of first-time and repeat-visi-
  • Visitor, staff and management ethical beliefs and expectations
  • Expressive and instrumental factors in measuring visitor satisfaction
  • Market Segmentation Chapter 20: Profiling airline web users
  • Data-driven market segment trends
  • Sustainable tourism and stakeholder groups
  • Attraction and Loyalty
  • Cultural determinants of tourist destination loyalty
  • Conceptualization of tourism destination loyalty
  • Image and Interpretation
  • Tourists’ judgements in measuring comparative destination
  • Cross-cultural behaviour research on destination image
  • Journeys of the imagination: a cultural tour route

Mullen and Johnson (1990, p. 1) define consumer psychology as the scientific study of consumer behavior. A minority of this consumer research seeks to understand the psychology of the tourist or of the residents of the host community.

Fig. 1.1. Dimensions of psychology.
Fig. 1.1. Dimensions of psychology.

Profiling the One- and Two-star Hotel Guests for Targeted Segmentation Action: a Descriptive Investigation of Risk

One hundred and twenty-three of the 147 respondents in the one- and two-star sample (84%) answered this open-ended question. The main limitation of the study is the small sample size within the one- and two-star hotel categories (which resulted from major fieldwork difficulties due to the small size of the hotels and the fact that these accommodations are not open all year round).

Table 2.1. Unaided statements of pieces of information needed for decision making (rank coded).
Table 2.1. Unaided statements of pieces of information needed for decision making (rank coded).

The Influence of Consumers’ Emotions on their Service Product Evaluation

However, as noted by Hair et al. (1995), the use of student samples limits the generalization of this conclusion. Similarly, for question 29, 'My expectations of the airline's service are influenced by:...', respondents sometimes rated only the options that applied to them, leaving the others blank.

Table 3.2. Factor analysis of all the emotions before and during the flight service experience.
Table 3.2. Factor analysis of all the emotions before and during the flight service experience.

Validating a Guttman-type Social Distance Scale for Explaining Residents’ Attitudes towards Tourism

Although the design of the social distance scale in this research is very similar to that of Bogardus (1933), a significant departure is the use of Thurstone's (1928) equal interval technique (adapted by Sartain and Bell, 1949, for use in social distance), ie. Of the returned questionnaires, there were a total of 1036 responses to the social distance scale (since two scales were included in each survey).

Table 4.1. Dimensions and main issues of perceived impacts of tourism.
Table 4.1. Dimensions and main issues of perceived impacts of tourism.

Motivation for Domestic Tourism: a Case Study of the Kingdom of Saudi Arabia

This supported previous research (Uysal and Jurowski, 1994; Baloglu and Uysal, 1996; Kim and Lee, 2002) that reported a relationship between push and pull factors. By far, the most important push and pull factors for Saudi tourists are 'cultural value' and 'religious'.

Table 5.1 presents the respondents’ demo- demo-graphic characteristics. Seventy three per cent of the respondents identified themselves as male and 27% as female
Table 5.1 presents the respondents’ demo- demo-graphic characteristics. Seventy three per cent of the respondents identified themselves as male and 27% as female

Ecotourists’ Environmental Learning Opportunity as a

Source of Competitive Advantage: Are Ecotourism Operators Missing the Boat with their Advertising?

Ecotourism is nature-based tourism that involves education and interpretation of the natural environment and is managed to be ecologically sustainable. Much of the academic discourse of tourist motivation arose from the adaptation of needs theories, particularly Maslow's (1943) hierarchy of needs theory, to tourism motivation (Decrop, 1999). According to Holsti (1969, pp. 3–4), objectivity is achieved through the application of explicitly formulated rules and procedures that minimize the subjective predispositions of the researcher.

In 2002, third-year students of the Tourism and Environment course at La Trobe University in Victoria, Australia (78 students) collected 254 examples of promotional material from businesses purporting to be ecotourism businesses. Histogram of the percentage of advertising by ecotourism operators dedicated to environmental education. time constraints of this work.

Fig. 6.1. Histogram of the percentage of ecotourism operators’ advertising devoted to environmental education
Fig. 6.1. Histogram of the percentage of ecotourism operators’ advertising devoted to environmental education

Domestic Leisure Traveller Consumption Systems

Going to the beach is the most frequently reported vacation/leisure activity for travelers. ADOTs traveling to the beach are more likely to start their journey from Melbourne and Brisbane. Visitors to the Gold Coast and Sunshine Coast were from the Darling Downs and Brisbane in particular.

A major driver for coastal destinations outside the urban centers is a visit to the beach. Visitors traveled to the Hunter Valley NSW and southwest WA to tour the wineries.

Fig. 7.1. Theory to tourism consumption systems. P1, origins vary by demographic characteristics (e.g.
Fig. 7.1. Theory to tourism consumption systems. P1, origins vary by demographic characteristics (e.g.

Tourist Activity Planning in Congested Urban Tourism Environments: Towards a Game-theoretic Model and

The accepted schedules together with the personal data of the tourists will be recorded by the tourist assistant. The tourist assistant supports tourists during the decision-making process of planning his/her trip. It is rational to assume that, when the tourist assistant gives 'activity options' (see Fig. 8.3), the system only takes into account the average duration.

In the event that a pedestrian knows which shops to visit and has decided which route to follow, the problem remains in which order to visit the shops, i.e. the route can still be followed in two directions. As mentioned earlier, these suggestions will be implemented at two levels – the activity level and the planning level – during the process to help tourists make day trip plans.

Fig. 8.1. Conceptual framework.
Fig. 8.1. Conceptual framework.

The strategy profile S*= {S*1(t1),…,SN*(tN)} is a Bayesian Nash equilibrium of a static Bayesian game if and only if for each player i, each type ti of player i, and each alternative strategy of player i, say Si(ti), EUi(S*,ti). This means that a player's strategy is the best response to other players' strategies, regardless of player type. If no individual tourist can improve his payoff function by unilaterally changing his schedule, then it is essentially a Bayesian Nash equilibrium in which tourists maximize their own individual utility.

Since the UTI office can solve the tourist optimization problem, choosing the best strategy should predict the best response of tourists to each possible control strategy. The payoff of the UTI office is a utility function of the total tourist distribution flows in the city, and the payoff of the total tourists is a utility function of the tourists' schedules. Since the UTI office can solve the tourist optimization problem, it should anticipate the tourists.

It presented an activity-based approach to model tourist behavior in urban tourism, while simultaneously addressing the problem of modeling the interactions at both the disaggregated level (between individual tourist decisions) and the aggregated level (between tourist flows and planning decisions). through non-cooperative game theory. A day in the city: using collaborative choice experiments to model the activity packages of city tourists.

Fig. 8.6. Tourism control-distribution game extensive form.
Fig. 8.6. Tourism control-distribution game extensive form.

Comparing First-time and Repeat Visitors’ Activity Patterns in a Tourism Environment

H2: The difference in activity patterns between new and returning visitors is moderated by using information about the available activities in the park and using information about the spatial layout of the park. First, the revealed activity choices of the respondents in the park were converted to a series format. The representative activity patterns are indicated on the simple park map and shown in Figures 9.2–9.8.

It can be concluded that there is a significant difference between new visitors and returning visitors based on their activity pattern in the park. First, the results of the analysis indicate that new and returning visitors differ in their activity patterns in the park.

Table 9.1. Sample characteristics.
Table 9.1. Sample characteristics.

A Study of Tourist Decision Processes: Algarve, Portugal

The final questionnaire was a revised version based on the results of the pilot study. The distribution of the sample by country of origin closely follows the distribution of tourist numbers as illustrated in Table 10.1. In the case of the British, free time as well as the sun and the beach typically determine their choice of destination.

The return rate to the Algarve is usually an indication of the level of satisfaction with a past visit. The various identified impressions of the Algarve were tested according to the country of origin.

Fig. 10.1. A model of tourist’s decision processes.
Fig. 10.1. A model of tourist’s decision processes.

The Consumption of Association Convention Sites

Preliminary Results from a Study of Site Choice

Crouch 1 and Jordan J. Louviere 2

How important are each of the location selection factors and how are trade-offs made between factors. Other intervening variables include the role and actions of competing sites, and the profile of alternative sites in terms of key site selection attributes – the focus of this study. In terms of conference location and facilities, the quality of the exhibition space, plenary hall, break-out rooms and the per-1.0.

A Study of the Decision Process of North American Associations Regarding the Selection of a Convention Site. Most likely (check ONLY one) □Yes□I would not suggest or recommend that the Association Board seriously consider this convention site for its NEXT convention.

Fig. 11.1. A general conceptual model of the site-selection process (from Crouch and Ritchie, 1998).
Fig. 11.1. A general conceptual model of the site-selection process (from Crouch and Ritchie, 1998).

Context and Dynamics of Social Interaction and Information Search in Decision Making for Discretionary Travel

Context and dynamics of social interaction and information seeking in discretionary travel decision-making. DeCrop is a leading proponent of the need to consider social interaction when making travel decisions. A survey that does not result in recognizing what happened provides an invalid picture of the micro-level decision-making process.

Now it may be possible for a choice model (e.g. Social Interaction and Information Search in Decision Making 155. CAB International, Wallingford, UK, pp. 2003) Holiday decision making: an adaptable and opportunistic process (under review).

Fig. 12.1. Travel decision-making considering social interaction.
Fig. 12.1. Travel decision-making considering social interaction.

A Duality in Vacation Decision Making

The tourist's choice of attractions and activities is generally delayed until the day of arrival at a secondary destination. According to Hyde, the vacation decision-making sequence is first the choice of secondary destinations, then the choice of travel route, then the choice of attractions and activities. A second set of decisions, made before departure but somewhat flexible, involved the selection of secondary destinations, attractions and activities for the holiday.

In general, the only elements of the holiday that were decided during the holiday were things like the choice of where to shop and. Among the tourists to New Zealand studied by Hyde, the choice of secondary destinations appeared to precede the choice of attractions and activities;

A Model of Vacation Choice: an Integration of Personality and Vacation Choice with Leisure Constraints Theory

Constraints can be classified into three types – intrapersonal, interpersonal and structural (Crawford et al., 1991) – these can influence preference as well as participation (Crawford and Godbey, 1987). Intrapersonal constraints have been conceptualized as being the first level of the hierarchy and influence preference, rather than intervening between preference and choice (Crawford et al., 1991). As indicated in Crawford et al.'s (1991) model (Fig. 14.1), the ability to successfully negotiate interpersonal constraints to achieve interpersonal compatibility and coordination is critical to participation in an activity.

Alternatively, the methodology used by Stemerding et al.(1996), which involves a modified Repertory Grid technique, can be applied. In the eye of the beholder: a comment on Samdahl & Jekubovich (1997), 'A Critique of leisure constraints: Comparative analysis and understandings.'.

Fig. 14.2. Leisure participation: a balance between constraints and motivation (Jackson et al., 1993).
Fig. 14.2. Leisure participation: a balance between constraints and motivation (Jackson et al., 1993).

Effects of Holiday Packaging on Tourist Decision Making

Some Preliminary Results

H2: The format in which attribute information is presented affects (i) the probability of entering the consideration set and (ii) the intention to visit. They were then asked to rate their intention to visit and select from a list the destinations they would visit for their next overseas holiday. However, here we focus on the analysis of visit intention under three conditions.

For Tunisia, the mean visit intention score in the disengaged state was 4.28 (SD = 1.62). Conversely, the intention to visit decreases if the destination is presented as the address of a holiday package.

Figure 15.2 shows mean intention to visit Tunisia across the three conditions. For Tunisia, the mean scores of intention to visit in the unbundled condition were 4.28 ( SD = 1.62)
Figure 15.2 shows mean intention to visit Tunisia across the three conditions. For Tunisia, the mean scores of intention to visit in the unbundled condition were 4.28 ( SD = 1.62)

An Examination of the Antecedents and Consequences of Customer Satisfaction

Therefore, the role of attitude in the formation of satisfaction and service quality evaluation remains unclear. Of the ten proposed theories, 'expectancy disconfirmation theory' is the most popular due to its broadly applicable conceptualization (Oh and Parks, 1997). The use of a comparison standard appears to be central to the evaluation of both service quality and customer satisfaction.

However, their use often caused methodological problems in the measurement of service quality and customer satisfaction. The relationship between satisfaction and service quality is also direct and from service quality to customer satisfaction.

Figure 16.1 shows the cognitive process of sat- sat-isfaction formation and its relationship with other constructs
Figure 16.1 shows the cognitive process of sat- sat-isfaction formation and its relationship with other constructs

Hình ảnh

Fig. 1.2. Elements of consumer psychology. Adapted from Mullen and Johnson (1990).
Table 2.1. Unaided statements of pieces of information needed for decision making (rank coded).
Table 2.2. Risks perceived by one- and two-star hotel guests.
Table 2.4. Most frequently stated expectations of one- and two-star hotel guests.
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