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Purpose: An examination of the uptake and application of Robotic, Artificial Intelligence and Service Automation (RAISA) technologies by the events industry.

Design/methodology/approach: Academic and practitioner literature review and analysis pertaining to the relevance of RAISA in events.

Findings: The events industry has tended to rely on automation in staging and event production and the application of RAISA in events has been limited but holds great potential for the future. Whereas, in the hospitality and tourism industries RAISA has been applied across a range of service functions. For example, in such industries, artificial intelligence, machine learning and service robotics technologies have become commonplace. Nonetheless, the same level of adoption of RAISA in events is less evident particularly in front-of-house operation, due largely to the incompatibility with the raison d'être of event attendance – the purposive congregation of people seeking an event experience.

Research limitations/implications: The findings are the views of the authors and are therefore reliant upon existing events management literature on RAISA and their interpretation of this information and its application to the events industry.

Practical implications: RAISA has the capacity to play a crucial technical function in the events industry. However, it needs to be acknowledged that an event is essentially an experiential product which is simultaneously delivered and consumed in a particular setting/venue. RAISA applications and techniques avail event management immense sustainability and growth potential.

Social implications: Events are expressions of human social interactions and activities. Given the recent trend in sports media consumption as a substitute for live event attendance compounded by barriers to event attendance such as heightened terrorism threat and high expense/cost, there is a real risk of degradation of the social significance of the events industry. The prudent uptake of RAISA has the potential to emolliate the barriers to attendance while facilitating effective marketing and industry sustainability.

Originality/value: This chapter provides a new perspective in focusing on the potential applicability of RAISA in event management practice.

Competition had traditionally been highly intense in the airline sector, forcing airlines to continually foster collaborative practices. Although Information & Communication Technologies (ICT) had always been the backbone of any airline collaborative practice, research investigating the role of ICT in supporting collaboration had been solely concentrated on Global Distribution Systems (GDS) and their impact on marketing practices. In this vein, the importance of GDS to support streamlined supply chains in the airline sector has been neglected. This paper aims to show how the functionality and core competences of GDS are exploited to facilitate collaborative supply chain management and enhance airlines’ competitiveness.

This chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.

The tourism industry is known to be both famous and infamous in a way that there is a blurred line between how much tourism is sustainable and how much it is not. However, there is no denying of the fact that the industry is in need of innovative and upgraded mechanisms to ensure sustainability. Technology, on the other hand, is making great strides in providing support to ensure sustainable development across various sectors. Taking cues from the existing work, this chapter investigates the various facets of technology in imbibing sustainability, especially in the tourism sector, and proposes a framework for technology-led sustainable tourism development process. The chapter concludes that both technology and sustainable development concept share the common principles of being holistic, futuristic and interrelated (integrated). Therefore, technology can be a proper solution to develop a sustainable model.

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.

The progressive increase in the size of datasets has given life to the so-called big data that provides researchers with the opportunity to extract a greater amount of useful information in many sectors, especially in the tourism industry.

The chapter aims to demonstrate that sustainable tourism (ST) could be particularly favored by using big data and a data-driven approach. Furthermore, as ST appears in line with a new type of responsible entrepreneurship, called Humane Entrepreneurship (HumEnt), this chapter investigates the link between ST and HumEnt and the impact of big data and data-oriented approaches on ST and HumEnt.

The research adopts a qualitative approach, applying the case study technique. The authors conducted ten semi-structured interviews with key informants from a specific form of hospitality: Albergo Diffuso. Findings show the advantages of the data-driven approach to tourism and entrepreneurship highlighting how using data creates new opportunities for decision making in ST and HumEnt.

The tertiary education system has become an international phenomenon in recent decades, and, increasingly, Australian institutions are employing academic staff and postgraduate students from other countries. This now poses a number of challenges. International academics are reporting that cultural differences and stresses are impacting on their work. This has required an examination of both curricula and assessment practices in the tertiary sphere. Having academic staff from diverse backgrounds working in tertiary institutions arouses interesting patterns of interaction with other personnel, students, learning materials and learning contexts. This chapter examines a large number of international academics from Non-English Speaking Background (NESB), who are working in various Australian university faculties and disciplines. The study analyses the key factors influencing the NESB international academics’ employment. Seventy-five participants working in six Australian universities participated in this study.

This chapter examines the factors influencing actual in-trip information and communications technology usage by leisure tourists and the potential of adopted technologies to support sustainable tourism. Thirty semi-structured interviews were conducted in the city of Edinburgh. A thematic analysis of the data revealed that consistent with the literature, perceived ease of use, perceived usefulness, and social influence affected usage while in-trip. Tourists’ level of personal innovativeness also moderated smartphone ownership and actual usage while in the destination. Location-based services and social media proved to be the applications which enjoyed the most usage and the greatest opportunities to promote sustainability.