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This chapter aims to provide a comprehensive overview of virtual tourism and its potential contribution to sustainable development in the tourism industry.

In this chapter, a qualitative approach is used to analyse relevant documents and resources to explore the relationship between virtual tourism and sustainability.

The findings of this study indicate that virtual tourism has numerous applications in the tourism industry, with evident potential for the future. Furthermore, this research identifies virtual tourism as a promising alternative for sustainable tourism, offering the potential to address key sustainability issues in the field.

This chapter adds to the existing literature by examining the link between virtual tourism and sustainability, highlighting the potential of virtual tourism as an alternative to traditional sustainable tourism practices. The insights generated from this study can inform the practices of both academics and practitioners in the tourism industry, promoting more sustainable and responsible tourism practices.

This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination was conducted through the prism of several antecedents of acceptance of technology agency, including perceived ethics, benefits, risks and convenience orientation.

A thorough literature review provided the foundation of the structural model, which was tested using confirmatory factor analysis, followed by structural equation modeling. Data were collected from 400 US hotel guests.

The most important determinant of acceptance of technology agency was perceived ethics, followed by benefits. Risks of using AI-based systems to make decisions for consumers had a negative impact on acceptance of technology agency. In addition, perceived loss of competence and unpredictability had relatively strong impacts on risks.

The results provide a conceptual foundation for research on systems that make decisions for consumers. As AI is increasingly incorporated in the business models of hotel companies to make decisions, ensuring that the decisions are perceived as ethical and beneficial for consumers is critical to increase the utilization of such systems.

Most research on AI in hospitality is either conceptual or focuses on consumers’ intentions to stay in hotels that may be equipped with AI technologies. Occupying a unique position within the literature, this study discusses the first time AI-based systems that make decisions for consumers. The value of this study stems from the examination of the main concept of technology agency, which was never examined in hospitality.