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Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

This study aims to provide a critical reflection research that was carried out to understand more fully how employee turnover has been critical to hotel management’s strategies for constructing a better workplace. Human resources decisions need to be made carefully based on a clear grasp of their effects on hotels and their staff.

A critical review was conducted with a sample of 160 academic papers that reported findings on staff turnover intentions in hotels.

The results include a concept map that highlights the two main dimensions found by researchers: hotel staff turnover consequences (i.e. customer satisfaction and financial performance) and antecedents (i.e. individual, job-related, relationship, organisational and opportunities).

The findings underline that staff retention strategies need to focus on managing job-related, organisational and relationship variables as hotel managers have little influence on individual and job opportunity factors.

This study examined 20 years of research summarised in an up-to-date conceptual map. The findings have cross-disciplinary implications.