Incorporating VR, AR and related technologies in tourism industry: State of the art

The current chapter intends to expose the importance of tourism in the world economy, (ii) give an overview of what academic and practitioners are doing regarding the use of engagement-facilitating technologies in tourism, and (iii) suggest avenues for further research. Thus, first the authors give insights about the evolution and important of tourism. After that, the chapter presents an overview of the state of the art on the use of engagement-facilitating technologies (mainly virtual and augmented reality) in research. The examples of applications of engagement-facilitating technologies come next. In the end, the authors suggest future research directions and present the conclusions.info:eu-repo/semantics/acceptedVersio

Accessibility to spa experiences

This chapter aims to highlight and raise awareness of the previously unknown barriers currently faced by wheelchair using consumers in the spa industry and the implications of these barriers for consumer and industry alike. Existing research on accessibility within this specific environment is extremely limited (if any). This study shows that access to accurate information is a key issue, a key barrier to participation and not only for those who have not visited a spa before. Gaining information pre visit in tourism is increasingly done online and there is the opportunity to use technologies and especially websites and social media platforms to help provide this information. The chapter also illustrates the potential for health and greater mental and social wellbeing the spa industry and the wider wellness tourism industry have for wheelchair users and how they could mutually benefit each other, as well as further promoting the case for barrier free accessible tourism and leisure opportunities.N/

Customer Analytics Capabilities in the Big Data Spectrum: A Systematic Approach to Achieve Sustainable Firm Performance

Customer analytics plays a vital role in generating insights from big data to improve service innovation, product development, personalization, and managerial decision-making; yet, no academic study has investigated customer analytics capability through which it is possible to achieve sustainable business growth. To close this gap, this chapter explores the constructs of the customer analytics capability by drawing on a systematic review of the literature in the big data spectrum. The chapter\u27s interpretive framework portrays a definitional aspect of customer analytics, the importance of customer analytics, and customer analytics capability constructs. The study proposes a customer analytics capability model, which consists of four principal constructs and some important sub-constructs. The chapter briefly discusses the challenges and future research direction for developing the customer analytics capability model in the data rich competitive business environment