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The digital technological revolution offers new ways for classrooms to operate and challenges the concept of whether brick and mortar schools should exist at all. At the same time, the changes to society as we move from a knowledge-based economy to an intelligent and innovation-based economy challenges us to reassess the purpose of education. This chapter investigates an overarching counterfactual question, “What if compulsory schooling was invented in the twenty-first century”? We used a foresight methodology, based on “anticipation,” to conceptualize possible models for a future system of compulsory schooling arising from an analysis of contemporary catalysts for remodeling. While anticipation does not predict the future, the concept is that when a current system and a model of a system interplay, they impact each other to change both the present as well as possible futures. The design principles of cities, such as Freiburg (Germany), Poundbury (England), and Christie Walk (Australia), which have been developed around the idea of ecologically sustainable and decentralized cities, are focused on approaches to living that can provide a springboard for exploring the impact of changing employment, economic, technological, and social change on future schooling models. Magnetic Resonance Imaging (MRI) has opened up a new field of study to investigate neuroscience, which can inform teaching practice. Postmodern and indigenous ways of thinking provide different insights about how schooling might be reconceptualized. Alternative models of future schooling are conceptualized about (i) the role of the learner and teacher, (ii) design of a school, and (iii) the purpose of compulsory schooling. For each area of remodeling, deviations to current practices as well as paradigm shifts are framed as part of scenario building. Related questions include: how schooling might be different if it had been created today for the first time? How might it better meet the needs of contemporary society? What aspects of schooling now might be lost if it was only invented in the twenty-first century? What are possible side effects from any change ideas as part of research practice? A vital aspect of this chapter is to explore the concept of learning as a general concept versus the more specific concept of schooling. We are at the precipice of a new vision of schooling based on a counterfactual way of thinking about the future of schooling as we have known it in the West.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.

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.

Supply of food from the early stages of societies was one of the most important needs of humans. Sustainable supply of food is a demand in modern societies. The agri-food market grows as the population rises every year. The increase in the demand side of the market is more than the growth of the supply side. The rate of using technology in the supply side is increasing rapidly. By using technology in some parts, the efficiency of production improved and caused more production while resources are the same. Availability of resources in different areas causes different ways of production and nurturing innovative technologies to maintain food security. Water, soil, climate change, and growth of population are drivers of using technology in food security. To depict the role of different technologies in the food industry, the authors have reviewed the role of the most important technologies in this field. Knowing the trends of changes in the industry will help to focus on the most important questions and solutions. Having a share in the global food market requires the major use of technology in production processes. In this chapter, the authors will review the most important trends of technology absorption in the food industry.

The preceding revolution, Industry 4.0, surfaced by way of the influx of digital and automation technologies. Industry 5.0 followed the suit and the world is on the threshold of this new evolution. Industry 5.0 attempts to bring together the competency of smart machines and the exceptional ingenious potentials of the human workforce. Industry 5.0 is humanizing the digital and automated systems. It recognizes both automated technology and the human innovative skills on an equal platform. Marketing in its new role revolves on the axis of automation and cyber technology of Industry 5.0. This new makeover of marketing processes generates superior marketing actions, restructures marketing workflows, and assesses the results of marketing promotions. Industry 5.0 tools make available a fundamental marketing catalog for all marketing content and communications, thus assisting marketers to fashion a fragmented, customized, and favorable marketing experiences for prospective buyers. These systems and spaces offer automation attributes across numerous phases of marketing including videos, blogs, emails, social media, lead generation, direct mails, digital advertising, and more.

This chapter aims to introduce the concept of Industry 5.0, where robots and machines are interweaved with the human intellect and labor as teammate instead of opponent. The objective of the chapter is to examine and explore the different facets of marketing in the face of Industry 5.0. The chapter describes the challenges and future trends and practices in marketing field in the wake of Industry 5.0 as the way forward for the companies for sustainability and resilience.

The nature of technologies that are recognised as Artificial Intelligence (AI) has continually changed over time to be something more advanced than other technologies. Despite the fluidity of understanding of AI, the most common theme that has stuck with AI is ‘human-like decision making’. Advancements in processing power, coupled with big data technologies, gave rise to highly accurate prediction algorithms. Analytical techniques which use multi-layered neural networks such as machine learning and deep learning have emerged as the drivers of these AI-based applications. Due to easy access and growing information workforce, these algorithms are extensively used in a plethora of industries ranging from healthcare, transportation, finance, legal systems, to even military. AI-tools have the potential to transform industries and societies through automation. Conversely, the undesirable or negative consequences of AI-tools have harmed their respective organisations in social, financial and legal spheres. As the use of these algorithms propagates in the industry, the AI-based decisions have the potential to affect large portions of the population, sometimes involving vulnerable groups in society. This chapter presents an overview of AI’s use in organisations by discussing the following: first, it discusses the core components of AI. Second, the chapter discusses common goals organisations can achieve with AI. Third, it examines different types of AI. Fourth, it discusses unintended consequences that may take place in organisations due to the use of AI. Fifth, it discusses vulnerabilities that may arise from AI systems. Lastly, this chapter offers some recommendations for industries to consider regarding the development and implementation of AI systems.

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.

This chapter presents an overarching overview of how the rather recent technological phenomena, like data mining, machine learning, and artificial intelligence, are applied in the field of education. The author provides examples of how technological developments associated with the so-called Fourth Industrial Revolution are applied in education and considers the benefits and challenges they may bring regarding the economic system, as education (at least in the higher education sector) tends to be monetized and commercialized. The framework for education is perceived in the context of the economic intelligence of states, which is instrumental in ensuring their economic security. It is further expanded to the global scale, as Digital Education is crossing national borders and is being implemented in broader national processes.