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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.

Globally, higher education has been, over the years, a source of innovation, policy, new knowledge and a national asset. However, the advent of the Fourth Industrial Revolution (4IR) is having an impact on the principles of learning from primary to tertiary levels. The purpose of this paper is to consider how the 4IR has and will continue to impact education at the various levels of learning.

The paper aims to bridge the perceived information gap and provide insights into the kinds of educational preparation and the skills and qualifications that 4IR jobs require. In response, the following are considered: the need to tweak the curriculum, adopt the right technology for in class and online delivery and the projection of other learning techniques and skills that are often not considered pertinent. Data gathering for the report was by discussion with experts and consultation of relevant articles and write-ups from related websites.

The advent of smart communication systems involving artificial intelligence, internet, robotics, virtual reality and digital textbooks has opened a new vista in relation to how and what is learnt in schools. Just as technologies brought about smart communication systems, the 4IR model of higher education is rapidly evolving and as such, curriculum development and review must be dynamic, and it must keep pace with the technological advances and skills required in the twenty first century.

More purposeful research needs to be conducted in universities and industries with the intention of accelerating internal and external innovations so that markets can be expanded. Furthermore, efforts to reduce the cost and time of generating innovations will need to be intensified.

The value and emphasis that are placed on the acquisition of degrees and paper qualifications are changing rapidly. Although it is traditional for students to compete for admission to the face-to-face classroom model, it is no longer unusual for a student to take courses online from any part of the world and still be accepted into positions usually reserved for traditional classroom education.

As at today, examples of 4IR services include Uber, Airbnb, Cloud services, Artificial intelligence, Cyber-security, three-dimensional printers, driverless cars and robotics. Machine learning and drone technology are also of growing significance. As yet, subjects dealing with such inventions and innovations are not part of the curriculum of many institutions and this is a cause for concern.

The 4IR era will bring great changes to how students are taught and what students must learn as the tools for transformational learning are already overwhelming. Jobs will be scarce for those without the requisite skills, whereas those with the right skills will have to keep up with the pace of technological development, otherwise they too will be left behind. Schools will increasingly become centres for the generation of innovation and its incubation and in all this, quality learning, teaching and knowledge impartation can easily be carried out online.

The fourth industrial revolution and digital transformation have caused paradigm changes in the procedures of goods production and services through disruptive technologies, and they have formed new methods for business models. Health and medicine fields have been under the effect of these technology advancements. The concept of smart hospital is formed according to these technological transformations. The aim of this research, other than explanation of smart hospital components, is to present a model for evaluating a hospital readiness for becoming a smart hospital.

This research is an applied one, and has been carried out in three phases and according to design science research. Based on the previous studies, in the first phase, the components and technologies effecting a smart hospital are recognized. In the second phase, the extracted components are prioritized using type-2 fuzzy analytic hierarchical process based on the opinion of experts; later, the readiness model is designed. In the third phase, the presented model would be tested in a hospital.

The research results showed that the technologies of internet of things, robotics, artificial intelligence, radio-frequency identification as well as augmented and virtual reality had the most prominence in a smart hospital.

The innovation and originality of the forthcoming research is to explain the concept of smart hospital, to rank its components and to provide a model for evaluating the readiness of smart hospital. Contribution of this research in terms of theory explains the concept of smart hospital and in terms of application presents a model for assessing the readiness of smart hospitals.