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At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

This chapter examines how and why Asian bookmakers have surpassed the rest of the sports gambling market in betting volume. It critically unpacks the size, structure and operations of this market, before examining the globalisation of match-fixing that accompanies this, largely, unregulated market. While there has been some excellent research on the structure of the Black/Red Mafia controlled gambling in Communist China or match-fixing in national markets like South Korea and Taiwan, this chapter is one of the first comprehensive examinations of the globalised Asian gambling market and its contribution to sports corruption.

This chapter reports on research that explores new and emerging extended reality [XR] technologies and how they might provide opportunities to trial, investigate, and put into practice their potential to reverse processes of atomisation, polarisation, and intercultural discomfort, in our contemporary society. This transdisciplinary practice-led research was underpinned by disciplines of computer science and engineering, social sciences, history, diverse community economics, human ecology, and Indigenous psychology. The collaboration between these various disciplines with the Māori and non-Māori community members allowed researchers to understand current societal stressors, prioritise relationality, and explore our shared values in the creation of XR experiences for exhibition in the galleries, libraries, archives, and museums [GLAM] sector.

A discursive design framework motivated, inspired, provoked, persuaded, and reminded inspiring collaborators, and visitors to the exhibitions, the value of (re)connecting with people and overcoming interracial awkwardness through these curated experiences. The XR technologies provided women a platform to discuss and reimagine first encounters between people from different cultural backgrounds. The technologies included a 180° stereoscopic projection, Common Sense, in which Māori Elder Irene Hancy shared her insight about social engagement and haptic HONGI in which visitors were greeted by a Māori woman Tania Remana via augmented reality. This research has been motivated by a desire to promote and support intercultural understanding in Aotearoa New Zealand, and it extends research by other non-Māori and Māori scholars.

This chapter focusses on analysing the origins and evolution of the SWOT analysis. It explains the drivers and limitations of the conventional SWOT analysis, laying the groundwork for new decision-making models that can aid researchers and practitioners in comprehending both the external landscape and the internal characteristics of a company. This chapter demonstrates how the strengths, weaknesses, opportunities, and threats of the SWOT analysis can be approached dynamically. Conventional SWOT analysis offers only a limited perspective on the environment and employs terminology that can confuse users, hindering their clear understanding of the factors that influence an organisation’s situation. This chapter provides a concise literature review of tools for evaluating quality management, its resources, and the surrounding environment, which serves as a valuable means to grasp the economic and social context within which a firm operates.

The number of students from culturally and linguistically diverse (CLD) backgrounds continue to increase in classrooms across the United States. These students have complex needs as they experience more barriers to success when compared to their peers. These barriers are further compounded when CLD students are also identified as having disabilities. To address the barriers and meet the needs of CLD students with disabilities, teaching professionals should move away from the traditional American educational values of individual freedom and self-reliance, equal opportunity and competition, and material wealth and hard work. Conversely, schools and teaching professionals should incorporate the modern values of social justice, diversity, equity, inclusion, accessibility, and belonging when working with students from CLD backgrounds who have disabilities. This chapter presents these values and provides recommendations for teaching professionals and schools.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.