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Independent travelers are those vacationers who have booked only a minimum of their transportation and accommodation arrangements prior to departure on the vacation. Independent travel is an important and growing sector of worldwide tourism. Choice of vacation itinerary for the independent vacation represents a complex series of decisions regarding purchase of multiple leisure and tourism services. This chapter builds and tests a model of independent traveler decision-making for choice of vacation itinerary. The research undertaken employs a two-phase, inductive–deductive case study design. In the deductive phase, the researcher interviewed 20 travel parties vacationing in New Zealand for the first time. The researcher interviewed respondents at both the beginning and the end of their New Zealand vacations. The study compares pre-vacation research and plans, and actual vacation behaviors, on a case-by-case basis. The study examines case study narratives and quantitative measures of crucial variables. The study tests two competing models of independent traveler decision-making, using a pattern-matching procedure. This embedded research design results in high multi-source, multi-method validity for the supported model. The model of the Independent Vacation as Evolving Itinerary suggests that much of the vacation itinerary experienced in independent travel is indeed unplanned, and that a desire to experience the unplanned is a key hedonic motive for independent travel. Rather than following a fixed itinerary, the itinerary of an independent vacation evolves as the vacation proceeds. The independent traveler takes advantage of serendipitous opportunities to experience a number of locations, attractions and activities that they had neither actively researched nor planned.

Through application of multi-level structural equation modeling as the data analysis technique, the purpose of this paper is to analyze the group-level impacts on a couple’s food choices during travel at a coastal destination.

Researchers obtained 380 individual questionnaires from 190 mixed gender couples (who eat oysters) in Charleston and Beaufort County, South Carolina, USA. Data were collected from both members of the couple during their vacation. Due to missing data and normality issues 5 couples and 30 individuals were eliminated. The remaining data were analyzed with SPSS 21 and EQS 6.2 with advanced confirmatory factor analysis and multi-level (ML) regression techniques.

The study results indicated that while women have a more negative attitude than men toward oysters, their intention to eat oysters during vacation is not different from their partner. By detecting the interdependency of responses of individuals within a couple, this study revealed that a ML approach is a more powerful way to understand the decision-making process of couples. Additionally the difference in the results of single- and ML models showed that the latter approach lowers the chance of Type 2 error and provides more accurate results.

In tourism decision-making literature, the focus has been mostly on the individual despite the collectivistic nature of tourism activity. The current study is the first to analyze a couple’s decision-making process at the group level. Furthermore by collecting data from both members of the group during their vacation, this study has distinguished itself from previous studies.

This paper aims to introduce a structuring and processing model (SPM) as a framework for tourism decision making research.

The study employs McCracken's long interview to collect data in field settings. The study introduces advances in Mintzberg et al.'s approach to structuring seemingly unstructured decision making to explain travelers' decision‐making processes.

SPM enables mapping and comparing visitors' plans, motivations, choices, and consequences. The results demonstrate nuanced decision‐behavior dynamics and complexities of visitors' travel‐related unconscious/conscious thinking and behavior.

SPM does not attempt to generalize findings to large survey samples.

Travel planning and execution dynamics dictate that a decision‐making funnel metaphor in consumer research does not capture such trip complexity because additional decisions are made when the traveler arrives at the destination.

SPM is dynamic and inclusive explaining simultaneous planning elements as well as considering sub‐decisions occurring before and after different phases in the process. This model includes both conscious and unconscious internal retrievals as well as contextual influences relating to current planning affect the decision‐making process.

This paper introduces the seven empirical studies on vacation decision making in this special issue of IJCTHR. The paper compares the findings of these seven studies to traditional models of vacation decision making, and highlights a number of new perspectives for research into vacation decision making.

Five themes appear in these contemporary studies of vacation decision making: the multifaceted nature of the vacation; joint decision making by members of the household; impact of the type of vacation trip on the decision making process; the role of the internet in vacation decision making; and the role of socio‐psychological variables in vacation decision making.

The paper provides recommendations for future research in vacation decision making, in light of contemporary changes in the travel and tourism industry.

The value of this paper lies in its review of traditional approaches to researching vacation decision making, and advice provided for future research on the topic.

The present research extends the existing literature of halal tourism and Muslims’ travel decision-making by applying information-seeking models and the planned behavior theory to identify the process of decision-making to travel to non-Islamic destinations. This study aims to identify the views of Muslim travelers who traveled before to non-Islamic destinations to evaluate their information search experience and how their travel decision is formed.

Semi-structured interviews are conducted with a sample of Muslim travelers who visited a non-Islamic destination during the past five years. Data saturation resulted in 17 interviewees from different Islamic destinations, namely, Egypt, Morocco, Sudan and Pakistan.

Muslim interviewees indicate the relative importance of reference groups compared to the government websites as a source of information. This study concludes some remarkable results regarding the importance of some halal marketing strategies such as halal searchability and availability, halal certification and appraisal, halal at airports and halal hotels. It presents an emergent framework that shows the factors affecting visiting a non-Islamic destination regarding halal issues for Muslim travelers.

It provides destinations’ official tourism managers with various strategies to brand their destinations as Muslim-friendly destinations.

Investigating the process of decision-making of traveling to non-Islamic destinations from Muslim travelers’ perspective is limited. Examining the role of information-seeking behavior in Muslim travelers’ decision-making is scarce.

This study aims to explore how social media affects decision-making among tourists and whether there is a potential effect of age, which is studied through generations. For this purpose, baby boomers, Gen X, Gen Y and Gen Z tourists are studied and real-time implications are offered.

The study adopts a descriptive and exploratory design where the conceptual model of social media-based decision-making is developed through a review of the literature. Quantitative analysis is conducted on primary data from 600 Indian tourists. This is done using a self-administered questionnaire adopted from Gulati (2022) after checking its validity and reliability. The statistical analysis for hypothesis testing is done using PLS-SEM path modelling on pooled data. To study the categorical moderating effect of generations, partial least squares multigroup analysis (PLS-MGA) is performed as a paired comparison on every successive generation.

After testing every successive younger generation with an older generation through PLS-MGA, none of the pairs found any significant differences in path coefficients, as the values obtained were 0.05 < p < 0.95 for all five paths (SM → NR, SM → IS, SM → E, SM → P, SM → PPB). This indicates all the generations behave in a similar manner irrespective of them being older or younger, and age does not moderate social media’s impact on decision-making among Indian tourists.

The study establishes India as a unique geographical market and suggests tourism marketers to treat all generations at par, irrespective of age, as they behave and interact with social media in a similar manner. But, because this study is restricted to a single geographical location, i.e. India, further regions can be explored for global generalisation. Future research can also explore other demographics for combined, moderated analysis. Findings from the study suggest that marketers should ensure that equal attention is given to all generations as they engage with social media in a similar manner. Targeted marketing using artificial intelligence can help in ensuring custom ads. Personalisation according to generations can also facilitate greater purchases.

The study fills a major population and knowledge gap by exploring a topic that has been highly under-researched. Also, the study adopts an inclusive approach by analysing all the generations, both younger and older, to understand the potential effect of age on moderating the impact that social media has on tourist decision-making. Further, real-time suggestions and implications are offered to tourism marketers with special reference to the Indian tourism industry.

Destination recommender systems need to become truly human‐centric in their design and functionality. This requires a profound understanding of human interactions with technology as well as human behavior related to information search and decision‐making in the context of travel and tourism. This paper seeks to review relevant theories that can support the development and evaluation of destination recommender systems and to discuss how quantitative research can inform such theory building and testing.

Based on a review of information search and decision‐making literatures, a framework for the development of destination recommender systems is proposed and the implications for the design and evaluation of human‐centric recommender systems are discussed.

A variety of factors that influence the information search and processing strategies that influence interactions with a destination recommender system are identified. This reveals a great need for data‐driven models to inform recommender system processes.

The proposed framework provides a basis for future research and development in the area of destination recommender systems. The paper concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and respond creatively to transformations in the personal and situational needs of its users. Such system intelligence needs to be based on empirical data analyzed with sophisticated quantitative methods. The importance of recommender systems in tourism marketing is also discussed.

The influence of destinations’ poverty on tourism decision-making and, more precisely, destination selection has received scant attention despite the increasing importance of poverty. The purpose of this study is to examine the combination of factors influencing tourists’ destination selection in relation to developed destinations’ rising poverty levels through the adoption of complexity theory.

This study used fuzzy-set qualitative comparative analysis to examine the combinations of factors that are significant in influencing destination selection whereas necessary condition analysis was used complementarily to evaluate the size effect of the examined conditions. Moreover, semi-structured interviews with industry stakeholders were performed to examine the relationships that describe the generated configurations.

In total, four solutions were generated: the cultural influence and poverty, the destination aspects, the poverty issues and the travel experience and poverty while qualitative data reveal that industry policymakers and practitioners hold different perceptions of tourists’ destination selection process.

Study results show that poverty perceptions influence destination selection. Hence, poverty must be considered in travel behaviour investigations beyond the developing destination context, whereas destinations may select either one or a combination of the generated sufficient configurations when deciding on their tourism development plans.

To the best of the authors’ knowledge, this is the first study examining the effects of developed destinations’ increasing poverty levels on tourism decision-making and specifically on destination selection.

To succeed in a competitive tourist market and attract more foreign tourists, it is essential to have a clear understanding of what travellers are seeking and endeavour to meet those needs, as well as key influential factors in their travel decision-making process. The purpose of the study is to develop and examine tourists’ pre-trip motivational model using the push–pull theory.

A tourists’ pre-trip motivational model was developed and then tested based on a sample of 320 Chinese and non-Chinese visitors to Melbourne, Australia, to assess the suitability of the new model. Data were analysed by descriptive and inferential statistical techniques, such as principal component analysis and independent T-tests.

The analysis revealed statistically significant differences between studied samples in terms of the push and pull factors. In comparison with non-Chinese tourists, Chinese visitors to Melbourne assigned higher importance to resting and relaxing opportunities, family-oriented activities, as well as safety and a high level of service. The identified differences should be reflected in marketing and promotional activities provided to Chinese and non-Chinese travellers.

The study provides useful information for Destination Marketing Organisations in tourism cities wanting to develop specifically customised tourist products, services and promotion programs tailored to each market.

The proposed extended push–pull model represents a holistic and complex model of the travel decision-making process with the multiple linkages between motivations for travelling, preferences of destination attributes, information source usage, trip expectations, possible constraints for travelling and evaluation of destination choice criteria. Understanding all these factors, their relationship and their influence on the final destination choice is a prerequisite for effective and successful actions on attraction and retention of visitors for all tourist destinations. The developed tourists’ pre-trip motivational model may be used as a conceptual framework to guide subsequent motivational studies in tourism.

As independent travel has become increasingly popular in recent years, factors influencing users’ attitudes and behaviors should be explored. Besides, the rise of video platforms like YouTube, Bilibili and TikTok has led to the flourishing of user generated content (UGC), among which travel vlogs have become convenient and essential references for tourists before and while they travel on their own.

This research used quantitative analysis through a survey designed for young people, as most vlog viewers are in those age groups, to explore the attitudes and perceptions of vlog preference, attitudes and cognizance of travel vlogs among different gender, guided by the decision-making theory and preference theory with 455 participants.

Survey results showed that both genders have common choices regarding travel vlog preference, attitudes, sharing and cognizance. Yet, gender differences appear in some cognition of travel vlogs and specific preferences, such as information searching habits, trusty travel and information sources.

Existing studies focus on the influence of platforms on users, but scant studies focus on user perceptions of vlogs as a new information carrier for young people in East Asia, especially regarding gender differences, which is crucial in media-based marketing. This research provides practical suggestions to marketers and vloggers to attract and engage different genders of young people and theoretical implications on decision and preference theories.