Economic inequality, the environmental crisis and the climate crisis are systemically linked. Accordingly, they should be understood as a single, interconnected system and strategies for resolving them should be guided by this understanding. This book demonstrates how the Green New Deal and its systemic alternative, the Red New Deal, could influence the course of these three global crises, all within the context of the Fourth Industrial Revolution. The author has developed several scenarios that are relevant to the automation that will result from advances in artificial intelligence and intelligent robots. The first is one of mass unemployment, while the second envisages low rates of unemployment, although workers will experience stagnation and then a decline in their wages. It is possible to envisage a different set of scenarios; however, we must replace the capitalist economic model with a different model: mutualism, a sustainable model that would allow for economic growth while also addressing the three current systemic crises. The author argues that if such a model is implemented, there will be jobs for everyone and the climate crisis will be tackled because people’s welfare will be prioritized over profit. We can assert that such a model will foster the development of economic equality. The basic premise of this mutual and sustainable economic model is that sustainability is in everyone’s interests. The book employs not only established and innovative methods, such as literature reviews, scenario thinking and historical methods, to underpin its arguments, but also conceptual generalization as an intellectual tool to tackle the general research problem; thus, it will be an invaluable resource for scholars and students of sustainability and the innovation economy.

Artificial intelligence will not necessarily create a super-intelligent “human robot”; however, it is very probable that intelligent robots and intelligent informats will bring about a form of super-globalization, in which money and goods are prioritized over people and democracy and where the widespread use of casual labour – that is, short-term contracts – will become the most common form of employment relationship. It is also very likely that artificial intelligence will bring about what is known as singularity. This term is used to describe a situation where intelligent robots, from a rational and logical perspective, are smarter than humans, i.e. the development of AI. This book explores the impact that these intelligent robots and intelligent informats will have on social and societal development. The author tackles the question of singularity from three distinct standpoints: technological singularity – the intelligence of machines compared to that of humans – which he argues will bring about a qualitatively new labour market; economic singularity – the consequences for work relationships, value creation and employment – which he asserts will promote full automation, result in precarious contracts with low salaries, and, in some countries, possibly lead to the introduction of a universal basic income; and social singularity – the consequences of technological and economic singularity for democratic processes, bureaucratic procedures for exercising authority and control, and the direction in which society will develop, in addition to the emergence of new social institutions – which Johannessen says will promote a transition from representative democracy to genuine democracy. The book will appeal to academics, researchers and students of economic sociology and political economy, as well as those focusing upon the emerging innovation economy. It will also find an audience among professionals and policymakers keen to understand the impact the Fourth Industrial Revolution will have on organizations, individuals and society at large.

Industry 4.0 and the subsequent automation and digitalization of processes, including the tighter integration of machine-machine and human-machine intercommunication and collaboration, is adding additional complexity to future systems design and the capability to simulate, optimize, and adapt. Current solutions lack the ability to capture knowledge, techniques, and methods to create a sustainable and intelligent nerve system for enterprise systems. With the ability to innovate new designs and solutions, as well as automate processes and decision-making capabilities with heterogenous and holistic views of current and future challenges, there can be an increase in productivity and efficiency through sustainable automation. Therefore, better understandings of the underpinning knowledge and expertise of sustainable automation that can create a sustainable cycle that drives optimal automation and innovation in the field is needed Driving Innovation and Productivity Through Sustainable Automation enhances the understanding and the knowledge for the new ecosystems emerging in the Fourth Industrial Revolution. The chapters provide the knowledge and understanding of current challenges and new capabilities and solutions having been researched, developed, and applied within the industry to drive sustainable automation for innovation and productivity. This book is ideally intended for managers, executives, IT specialists, practitioners, stakeholders, researchers, academicians, and students who are interested in the current research on sustainable automation.

The book offers a multidisciplinary investigation into the economic, technological, environmental, and social impacts of Industry 4.0 technology that ensures inclusive and sustainable growth development of regions and countries. Along with identifying new opportunities that new technology provides for inclusive growth, the book aims to propose theoretical substantiation and develop economic, institutional, organizational, and information mechanisms that aid to reduce and eliminate the potential economic, social, and environmental risks. A broad multidisciplinary approach integrating research capabilities of economic and administrative sciences, artificial intelligence and computer sciences, pedagogy and linguistics, latest findings in the above mentioned scientific areas, as well as empirical evidence and pilot innovative research projects conducted by the contributors, allowed them to draw conclusions and develop recommendations for achieving inclusive growth in industrial and agricultural production, innovation and investment activities, management and environment protection, healthcare and education associated with the use of new technology. The contributors hope that empirical materials, innovative developments, and suggestions inspire scientific research, encourage applied studies, and supplement training programs in economic, administrative, social, and computer sciences at the advanced universities and research institutions, in the post-Soviet territory, in particular.

This edited volume presents the research results of the Collaborative Research Center 1026 “Sustainable manufacturing - shaping global value creation”. The book aims at providing a reference guide of sustainable manufacturing for researchers, describing methodologies for development of sustainable manufacturing solutions. The volume is structured in four chapters covering the following topics: sustainable manufacturing technology, sustainable product development, sustainable value creation networks and systematic change towards sustainable manufacturing. The target audience comprises both researchers and practitioners in the field of sustainable manufacturing, but the book may also be beneficial for graduate students.

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.

ICT Innovations for Sustainability is an investigation of how information and communication technology can contribute to sustainable development. It presents clear definitions of sustainability, suggesting conceptual frameworks for the positive and negative effects of ICT on sustainable development. It reviews methods of assessing the direct and indirect impact of ICT systems on energy and materials demand, and examines the results of such assessments. In addition, it investigates ICT-based approaches to supporting sustainable patterns of production and consumption, analyzing them at various levels of abstraction – from end-user devices, Internet infrastructure, user behavior, and social practices to macro-economic indicators. Combining approaches from Computer Science, Information Systems, Human-Computer Interaction, Economics, and Environmental Sciences, the book presents a new, holistic perspective on ICT for Sustainability (ICT4S). It is an indispensable resource for anyone working in the area of ICT for Energy Efficiency, Life Cycle Assessment of ICT, Green IT, Green Information Systems, Environmental Informatics, Energy Informatics, Sustainable HCI, or Computational Sustainability.