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Set against the background of uncertainty and crisis generated by COVID-19, policymakers, destination marketers and tourism and hospitality managers are struggling in trying to envision how, and till when, tourist behaviour will be changed and transformed by this pandemic and how tourists will select the accommodation where to stay during their holiday.

So far, a limited number of academic studies have been devoted to analyzing how travellers will select the accommodation for their holidays. This urges academicians to fill this gap with the aim to provide practitioners with fresh and insightful knowledge to support their decision-making in a tourism era where everyone seems to be shifting towards a ‘new normality’ of uncertain duration.

This study was therefore carried out to contribute to this debate by presenting and discussing findings of an empirical investigation applying a factor–cluster analysis on a sample of 225 French consumers/travellers to profile them based on accommodation selection criteria. Further, a series of chi-square tests was run to investigate whether significant differences exist among clusters based on their sociodemographic characteristics (i.e. gender, age, level of occupation, employment status) and travel-related variables (i.e. the preferred type of accommodation and the length of the holiday).

Findings contribute to deepening the scientific debate about how tourists' behaviour is being transformed in a tourism era affected by the COVID-19 pandemic. Meanwhile, our results will provide accommodation marketers with useful information to be used to effectively plan and implement their service design to meet tourists' expectations and needs.

This chapter presents a recent study which explored the impact of entrepreneurship education on South African tourism students' entrepreneurial intention, regarding starting a tourism-related business after graduation. The study used a structured questionnaire to collect data from randomly selected tourism students in a South African comprehensive University. Study findings show that entrepreneurship education has an influence on tourism students' entrepreneurial intentions and perceptions of desirability and feasibility. The study results moreover reveal that having entrepreneurial family background and entrepreneurship education played a role in achieving entrepreneurial attributes and desirability. The adoption of various reform programmes targeted at enhancing the graduate employability and/or self-employment, such as the inclusion of a new entrepreneurial track to the undergraduate curriculum, is one of the study's recommendations for the department of tourism studied. Students should be encouraged to apply for the entrepreneurship education track, which includes business training as well as customised coaching and mentorship sessions with accomplished businesspeople, as early as in their first academic year.

This research is to determine scenarios and perspectives for improving the cluster strategy of business integration in the post-COVID-19 era with the help of the methodology of the game theory.

The methodology of this research includes the complex method, statistical method, correlation analysis and the game theory of decision-making.

Based on the analysis of scientific approaches, we formulate the authors' treatment of the essence of the notion of clustering, which characteristics are evaluated in this work. In this treatment, we distinguish factors that influence the development of clustering of business structures of the state, which level is assessed within the analysis. The components of the competitiveness of business structures are among such factors. Cluster structures of certain countries successfully functioned during the COVID-19 pandemic, using effective strategies created independently (United States) and based on the strategies of non-market regulation (China).

The scientific novelty of this research consists in the identification of the types and characteristics of the strategies of clustering of business structures formed during the COVID-19 and post-COVID-19 eras.

The provision of air transport services in small and regional airports is a major concern worldwide as regional aviation is challenged with inadequate revenues. This chapter aims to identify the driving factors for sustaining regional airlines and airports. Nine factors are identified through literature review and expert opinion. Fuzzy-total interpretive structural modeling is used to develop a hierarchical relationship among the factors. Truncated population of the region, national subsidies, and airport infrastructure development have been found to be the strongest drivers for promoting regional airports. This hierarchical model provides a logical structure to the factors.

Research on job precarity and job instability have largely neglected the labor market trajectories in which these employment and non-employment situations are experienced. This study addresses the mechanisms of volatility and precarity in observed work histories of labor market entrants using the National Longitudinal Survey of Youth of 1997. Several ideal-typical post-education pathways are modeled for respondents entering the labor force between 1997 and 2010, with varying indicators and degrees of precarity. A series of predictive models indicate that women, racial-ethnic minorities, and lower social class labor market entrants are significantly more likely to be exposed to the most precarious early careers. Moreover, leaving the educational system with a completed associate’s, bachelor’s, or post-graduate degree is protective of experiencing the most unstable types of career pattern. While adjusting for these individual-level background and education variables, the findings also reveal a form of “scarring” as regional unemployment level is a significant macro-economic predictor of experiencing a more hostile and turbulent early career. These pathways lead to considerable earnings penalties 5 years after labor market entry.

The purpose of this chapter is to identify and analyze various critical success factors (CSFs) that can facilitate retailing business in Thailand. This chapter further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. A framework for Thai retailers has been developed, wherein the hierarchical interrelationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. In the present research, 15 CSFs have been identified through literature review and expert opinions. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework. The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can apply to the Thai retailers. This study makes a significant contribution in the literature of retailing business, which captures the perspective of different customers.