Search results

This chapter explores how resilience in the face of difficult and crisis-ridden circumstances influences innovation. By examining Qantas and the critical role played by the CEO and Managing Director Alan Joyce, we discuss how innovation leadership amid a crisis requires resilience with a balanced approach. With a lens of self-level innovation leadership, we showcase Alan Joyce’s resilience and how that flowed onto his team and the organisation to action required changes in a creative and novel way to revitalise. The chapter contributes to the literature by further detailing about how resilience from a business leadership perspective influences the organisation’s ability to encourage innovation in a difficult and crisis-ridden environment. We believe that the lessons learned from the Qantas case can inspire companies and industries that face similar challenges to understand what it means to demonstrate resilience as a leader.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

International evidence of corporate demand for ‘aesthetic labour’ has stimulated a growing and important literature on the strategic, commercial, legal, gendered and ethical aspects of this labour process (see Spiess & Waring, 2005; Warhurst & Nickson, 2009; Warhurst et al., 2000; Waring, 2011; Witz et al., 2003). There is some evidence to suggest that the growth in ‘Diversity and Inclusion’ strategies and practices by larger firms provides a level of recognition of the need to avoid discriminatory practices based on the physical characteristics of employees whether these be overt, structural or as a result of unconscious bias. It is argued that the emergence of ‘Diversity and Inclusion’ strategies are not just in response to regulatory demands or an enlightened ‘character over characteristics’ approach to hiring, but stems from a desire to meet contemporary Corporate Social Responsibility (CSR) expectations. In turn this corporate motivation is frequently driven by commercial concerns such as the need to attract and retain capital and talent.

In this chapter, the intersection of aesthetic labour, appearance-based discrimination, corporate Diversity and Inclusion strategies and CSR is explored. Through the examination of Fortune 500 ‘Diversity and Inclusion’ strategies and approaches to CSR, the intent behind the resourcing of ‘Diversity and Inclusion’ and its relationship to CSR is critically assessed. This critical assessment discloses both genuine efforts to reject unethical forms of ‘lookism’ or ‘appearance-based discrimination’ but also several contradictions. These include contradictions between the rhetoric of diversity and CSR and the continuation of aesthetic labour strategies for commercial advantage. Further, the research finds that the physical representation of ‘Diversity and Inclusion’ efforts are sometimes themselves exploited for commercial gain.

One of the most well-known, seminal models in the tourism field is the one proposed 50 years ago by Stanley C. Plog. His venturesomeness model has been widely cited in journal articles, textbooks, and has also been used as a reference for planning and designing tourism marketing projects. However, empirical research using Plog's psychographics has yielded varied results, some of which have corroborated his model, while others have found partial or no support for some postulates. Therefore, the purpose of this chapter is to offer an exhaustive review of 47 studies in the literature which have employed Plog's venturesomeness concept to examine travelers' personality traits, attitudes, and behavior, synthetizing empirical findings and drawing conclusions from the cumulative results. A discussion of the model's contribution to the current body of knowledge, managerial implications for tourism practitioners, and directions for future research are presented.

The Internet of Things (IoT) is perceived as an evolving trend in the tourism industry, with the potential to change its dynamics. IoT will help destinations, airlines, hotels and cruises personalise their services for tourists and guests. Moreover, it has several advantages for them, such as cost savings, increased productivity, greater efficiency and customised and differentiated services. The readers of this chapter will learn about the trends of IoT in the tourism industry, discover its benefits and learn about the most critical applications.

The first section will be the introduction which discusses the global scenario of wellness tourism after the pandemic. The second section of this study is wellness tourism after the pandemic in Sri Lanka. This title is an overview based on the homestays which are practicing wellness tourism at the Veludvara Wellness Stay, 98 Acres Resort and Spa and Ella Yoga Hub, and it examines the tourist perspective on wellness tourism after the pandemic. The third section discusses global best practices and policy development in this regard. The fourth section of this study focuses on demand and trends that can be promoted to future wellness tourism and conclude with recommendations. This study followed a qualitative method which is carried out with interviews, observation and secondary data such as books, websites, research papers, articles and other published materials. The impact of this research work is focused on stakeholders in wellness tourism, such as service providers, entrepreneurs, policymakers and other relevant authorities to fulfil gaps in the wellness tourism sector. Furthermore, this will be a good overview for tourists who are willing to get the experience of wellness tourism after the pandemic and identify its future values and demands.

This chapter relies on descriptive case studies from various regions around the world to better explain critical elements for the effective marketing of destinations. The authors put forward a theoretical framework, entitled the destination marketing triangle (DMT), that sheds light on the complex relationships and on the interconnectedness of three dimensions of destination marketing. Their model suggests that destination leaders ought to work closely with tourism service providers and to continuously engage with tourists through traditional and digital media. This way, they can improve the experiences of their visitors and prospects. At the same time, they could build a solid brand identity for their destination.

Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.