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Industry 4.0 has been identified as a key cornerstone to modernise economies where man and machines complement each other seamlessly to achieve synergies in decision-making and productivity for contributing to SDG 8: Decent Work and Economic Growth and SDG 9: Industry, Innovation and Infrastructure. The integration of Industry 4.0 remains a challenge for the developing world, depending on their current status in the industrial revolution journey from its predecessors 1.0, 2.0 and 3.0. This chapter reviews reported findings in literature to highlight how robotics and automated systems can pave the way to implementing and applying the principles of Industry 4.0 for developing countries like Mauritius, where data collection, processing and analysis for decision-making and prediction are key components to be integrated or designed into industrial processes centred heavily on the use of artificial intelligence (AI) and machine learning techniques. Robotics has not yet found its way into the various industrial sectors in Mauritius, although it has been an important driver for Industry 4.0 across the world. The inherent barriers and transformations needed as well as the potential application scenarios are discussed.

In the effort to procure solutions to emerging challenges faced in the construction industry, construction stakeholders implemented the use of several technologies in construction operations from the onset of project planning to completion. Cyber technology introduced into construction brought about the inclusion of wearable technology, mobile devices, apps, project management software, drones, 3D printers, robotics, etc. to enhance output as the industry tends towards that which is sustainable. This chapter identified benefits, barriers and other related cyber technology interactions within the scope of delivering projects that are of standard, budget and quality at the same time. The conclusion gave a summary of the whole chapter for further comprehension.

Industry 5.0 is referred to the subsequent industrialization. The ultimate goal of this transformation is to enable manufacturing solutions through collaboration with man and machine which are more user-friendly and increase work quality in comparison to Industry 4.0. This will be accomplished through the consumption of the creative potential of human specialists in the creation of an industry with more efficient, clever, and precise machines. It is predicted that several exciting breakthroughs and apps will help Industry 5.0 in its plan to gain more productivity and supply personalized goods in an open system. On the other hand, Industry 5.0 has had a greater global and international renown from the very beginning of its existence. Machine learning (ML) technology, the Internet of Things (IoT), and big data will create a collaboration with people, robots, and other intelligent devices. Industry 5.0 continues to serve as an attractive driver for our society's workforce skills and young talent in search of purposeful professional lives. There are some challenges as well, such as working with advanced robots requires people to develop skills. People need to gain proper knowledge about collaboration with smart machines and the robot manufacturers industry. However, this ultimate overhaul is necessary for the industry to certify its reason as a solution provider for our society. These things will unquestionably ensure the long-term sustained development (SD) of any nation's economy.

The impact of artificial intelligence (AI) and extended reality (XR, including virtual reality [VR], augmented reality [AR], and mixed reality [MR]) on marketing in Industry 5.0 and Society 5.0 is explored with systematic literature review in this chapter. AIXR is becoming a necessary aspect of marketing, driven by efficiency, productivity, and innovation. Despite AI's capabilities, the human touch in marketing is preferred due to superior adaptive, creative, and innovative abilities. The use of fully automated marketing systems is limited to specific tasks. This research will benefit both practitioners and academics focusing on AIXR in marketing and is limited by the number of included literature.

This chapter frames the digital age transformation journey for sustainability from the lenses of transformation skills and competencies required for future work. It provides a synopsis of the digital transformation considering digital technologies, connecting digital transformation to future work and reflections on the new digital age to sustainability issues. In detail, this chapter comprehensively reviews digital technologies transformation skills, including digital skills and integrated skills for the digital economy linked to integrated skills. This chapter takes into consideration the possible effects from a competency point of view from the domains on issues like: global independence, trust, a shift in skills and ways of work, commitment to justice, improving the know-how, financial inclusion, data and data privacy that are critical imperatives for sustainability. Developing a digital economy requires integrated sustainable development competencies; this chapter considers combined skills for digital transformation in triple connecting points of human skills, business skills and digital building blocks skills to argue for sustainability. Because attaining Sustainable Development Goals (SDGs) requires input from different quotas globally, sustainable competencies are needed to ensure individuals work cohesively through new-age digital technologies. This chapter further highlights emerging competencies such as critical thinking, appreciative equity, open communication and acting on collective well-being as imperatives transforming digital disruptions. The final section of this chapter puts into perspective the implication of required digital technologies for the future of work and its significance on the need to reskill and retool. It concludes by reflecting on opportunities and challenges for crucial consideration towards creating a sustainable digital age.

Higher education models continue to transform and advance across multiple trajectories spurred by knowledge economies and digital futures. The demand for disciplinary expertise, agile and responsive transition of graduates from university to industry, and employees who are adept and multi-skilled at working with global teams, has continued to raise the significance of international curricula and wider student experiences.

This chapter discusses the changing landscape of higher education and the disruptive influences that impinge on existing pedagogical models in the delivery of learning and teaching. It analyses the need for ‘just in time’, stackable units of learning that support learners in their lifelong learning journeys, embedded with 21st Century Learning skills. Further, the chapter will review existing models for course and curriculum development, recommend appropriate course development processes that are seamless, and meet industry and professional disciplinary agency requirements.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

One of the most hyped concepts in the manufacturing industry is ‘Industry 4.0’. The ‘Industry 4.0’ concept is grabbing the attention of every manufacturing industry across the globe because of its immense applications. This phenomenon is an advanced version of Industry 3.0, combining manufacturing processes and the latest Internet of Things (IoT) technologies. The main advantage of this paradigm shift is efficiency and efficacy in the manufacturing process with the help of advanced automated technologies. The concept of ‘Industry 4.0’ is contemporary, so it falls under exploratory study. Therefore, the research methodology is thematic narration grounded on secondary data (online) analysis. In this light, this chapter aims to explain ‘Industry 4.0’ in terms of concepts, theories and models based on the Web of Science (WoS) database. The data include research manuscripts, book chapters, blogs, white papers, news items and proceedings. The study details the latest technologies behind the ‘Industry 4.0’ phenomenon, different business intelligence technologies and their practical implications in some manufacturing industries. This chapter mainly elaborates on Industry 4.0 frameworks designed by (1) PwC (2) IBM (3) Frost & Sullivan.

This chapter examines how Industrial Revolution 4.0 (IR 4.0) influences shape and reshapes the tourism industry. Tourism 4.0 technology enables user engagement with a system, improvement of the real tourist experience and the development of new approaches to influence behaviour change and even long-term user transformation.

Using an in-depth review of existing data, this chapter explains IR 4.0 and its integration into the tourism industry, especially on tourist behaviour.

Although technology integrates very slowly into the tourism industry, its phase of integration, especially Industry 4.0, is highly evident. Technology proved that it could enhance products and services in tourism and with its optimal use it can sustainably integrate into the tourism industry.

Service is still the keyword for tourism, and at a certain level, services are integrated into the tourism industry for standardisation and consistency. The recent global pandemic paves the way for several alternatives to integrate technology into the services.