Sustainable Technology For Society 5 0

This book aims to bring together valuable and novel scientific contributions that address the critical issues of sustainable building, transformative tech models, and other sustainability science and technology topics that have an impact on Society 5.0. This book raises awareness and shares essential policy tools on innovation and technology for sustainable development. Sustainable Technology for Society 5.0: Case Studies, Examples, and Advanced Research Findings details the use of AI in making complex data analysis and sustainable decision making. It reflects the collaboration of industry, innovation, and infrastructure for Society 5.0. The book elaborates on the essential tools, policy, and strategic implications for building a sustainable tech framework and provides insight into sustainability science and technological contemporary trends. Rounding out the book is a strategic innovative model framework that works towards sustainable, good health, and well-being for Society 5.0. Researchers, scholars, students, and practitioners will find this book of interest.

The book discusses Society 5.0 which fills the gap between cyber and physical space by providing a balanced environment between economic and social needs. The book is divided into two parts; part A focuses on various concepts related to Society 5.0 such as cyber space, physical space, information management and digital transformation. Part B discusses various integrated fields in Society 5.0, such as super-smart healthcare system, super-smart hospitality system, smart building, and transport management system. It also illustrates the concepts of big data, real-time analytics for smart Society 5.0 with an insight of real-time case studies.

In every situation, the SDGs must be accomplished with the help of society's collective creativity, knowledge, technology, and financial resources. There are many diverse perspectives on Society 5.0. While Industry 4.0 is mainly about linking things together, some futurists say that Society 5.0 is about the collaboration between humans and machines on manufacturing floors. On the internet, there are several discussions and blogs about Society 5.0. The concept of Industry is introduced in this book, in which robots are connected with the human brain and act as collaborators rather than competitors. This book also details a number of significant characteristics and concerns regarding Industry 5.0 that every manufacturer, policymaker, or academician may have. It also highlights many scientific breakthroughs that can be applied to Society 5.0 applications and surroundings. Finally, the economic and productivity implications of Industry 5.0 on the manufacturing industry and general economy are explored in this book, with the question of whether Industry 5.0 will generate or eliminate jobs being debated. The concept of Society 5.0 is introduced in this book, in which robots are connected with the human brain and act as collaborators rather than competitors. This book will also detail a number of significant characteristics and concerns regarding Society 5.0 that every manufacturer, policymaker, or academician may have. It also highlights many scientific breakthroughs that can be applied to Society 5.0 applications and surroundings. Thus, this book is targeted for every manufacturer, policymaker, academician, research scholars, and students.

This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

Sustainability, Technology and Innovation 4.0 is a holistic perception and analysis of innovation at the level of public organisations, innovation in industry and innovation in HR. Its chapters collectively present a thesis that Innovation 4.0 signals a technological revolution that has the opportunity to prevent environmental degradation and, in particular, to stop climate warming, the effects of which may disrupt the process of sustainable development. Uniquely, this edited book offers a comprehensive and multi-faceted examination of Innovation 4.0, fulfilling methodical, empirical and utilitarian goals. The methodological objective is to present tools that allow the identification, analysis and assessment of the relationship between Innovation 4.0 and inspiration that will carry society towards a new economic and social order. Its empirical aim is to enable the analysis and evaluation of the role of public organisations, innovation in industry and innovation in HR in the process of building sustainable development of the global environment. The book’s utilitarian goal is a recommendation for global organisations of Innovation 4.0 as an instrument to stimulate an innovative economy. This is a high-level research book aimed at postgraduates, MBA students, researchers and academics from business colleges and universities, and may also provide a valuable strategic perspective for business executives.

This book unlike any other previous book provides a platform for scholars and researchers to present the latest insights and findings on the application of artificial intelligence and other sustainable technologies for a human-centric society. It brings together technology with society with special attention given to AI and IoT-related intricacies for a digital economy. It covers a variety of research topics including block ciphers, network marketing for sustainability entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. The book is a comprehensive reference work for scholars, academics, policymakers, students, and professionals presenting an overall understanding of AI, its present and future trends, and presents a discourse on important policies and strategies on inclusivity, diversity, bias, accountability, security, metaverse applications of AI, and other technologies such as IoT.

This collection is a multidisciplinary and multicultural contribution to the current sustainability discourse. It is focused on two main dimensions of our world: complexity and diversity. Desirable and urgent transition of socio-technological systems toward a sustainability trajectory of development requires a better understanding of technological trends and social transformations. General advancement of technology does not produce identical changes in various societies, differentiated economically and culturally. Moreover, the abilities to approach sustainable development change over time and space. As a result there is a constant need for continuing research, analyses, and discussions concerning changing contexts and adequacy of strategies and policies. Authors from twelve countries and of different academic and cultural settings present their insights, analyses and recommendations. The collection is focused both on contexts and on activities leading to sustainable trajectories in various domains of economy and social life. Continuing research and discussion is needed to better understand these challenges and to prepare the appropriate strategies and solutions. Development of socio-technological systems is nowadays very complex; moreover, the world we live in is extremely diverse. Therefore, sustainability discourse must be ongoing, introducing new ideas, concepts, theories, evidence and experience by various parties—academics, professionals, and practitioners.

This book informs and educates readers about sustainable development management, approaches and applications in manufacturing processes and presents the trends to the next economic and social paradigm: the Industry 5.0 and Society 5.0. Educational aspects, case studies from various companies, together with the analysis and synthesis of the literature and empirical experiences, define the content of the eleven chapters. Thus, this material could be considered as a starting point and foundation for researchers and practitioners interested in the present state and the evolution of the manufacturing systems. The book offers various points of view regarding the actual digital transformation of the manufacturing system.