The term globalization has gained widespread popularity; yet most treatments are either descriptive and/or focused on changes in economic interconnectivity. In this volume the concept is seen in broader terms as leading international experts from a range of disciplines develop a long-term analysis to address the problems of globalization.

The editors and contributors develop a framework for understanding the origins and trajectory of contemporary world trends, constructing testable and verifiable models of globalization. They demonstrate how the evolutionary approach allows us to view globalization as an enterprise of the human species as a whole focusing on the analytical problem of global change and the rules governing those changes. The emphasis is not on broad-based accounts of the course of world affairs but, selectively, on processes that reshape the social of the human species, the making of world opinion and the innovations that animate these developments.

Chapters are clustered into four foci. One emphasizes the interpretation of globalization as an explicitly evolutionary process. A second looks at historical sequences of such phenomena as population growth or imperial rise and decline as processes that can be modeled and not purely described. The third cluster examines ongoing changes in economic processes, especially information technology. A final cluster takes on some of the challenges associated with forecasting and simulating the complexities of globalization processes.

This innovative and important volume will be of interest to students and scholars across the social sciences concerned with the phenomenon of globalization.

The term globalization has gained widespread popularity; yet most treatments are either descriptive and/or focused on changes in economic interconnectivity. In this volume the concept is seen in broader terms as leading international experts from a range of disciplines develop a long-term analysis to address the problems of globalization.

The editors and contributors develop a framework for understanding the origins and trajectory of contemporary world trends, constructing testable and verifiable models of globalization. They demonstrate how the evolutionary approach allows us to view globalization as an enterprise of the human species as a whole focusing on the analytical problem of global change and the rules governing those changes. The emphasis is not on broad-based accounts of the course of world affairs but, selectively, on processes that reshape the social of the human species, the making of world opinion and the innovations that animate these developments.

Chapters are clustered into four foci. One emphasizes the interpretation of globalization as an explicitly evolutionary process. A second looks at historical sequences of such phenomena as population growth or imperial rise and decline as processes that can be modeled and not purely described. The third cluster examines ongoing changes in economic processes, especially information technology. A final cluster takes on some of the challenges associated with forecasting and simulating the complexities of globalization processes.

This innovative and important volume will be of interest to students and scholars across the social sciences concerned with the phenomenon of globalization.

This book takes an in-depth look at the economics of digital transformation. Presenting a variety of perspectives from experts, it deals with the socioeconomic changes associated with the digital transformation of production systems. The chapters also address the impacts of digital transformation on the sustainable functioning of socioeconomic and environmental systems. Select chapters also investigate the consequences of adopting intelligent learning systems, both in terms of replacing the human labor force. and their effects on the smart digital management and security of cities, places, and people. Lastly, chapters discuss important questions regarding innovations leading to sustainable change.

This book takes an in-depth look at the economics of digital transformation. Presenting a variety of perspectives from experts, it deals with the socioeconomic changes associated with the digital transformation of production systems. The chapters also address the impacts of digital transformation on the sustainable functioning of socioeconomic and environmental systems. Select chapters also investigate the consequences of adopting intelligent learning systems, both in terms of replacing the human labor force. and their effects on the smart digital management and security of cities, places, and people. Lastly, chapters discuss important questions regarding innovations leading to sustainable change.

This book presents the latest research perspectives on how the Industry 4.0 paradigm is challenging the process of technological and structural change and how the diversification of the economy affects structural transformation. It also explores the impact of fast-growing technologies on the transformation of socioeconomic and environmental systems, and asks whether structural and technological change can generate sustainable economic growth and employment. Further, the book presents the basic innovations (new technologies, materials, energy, etc) and industrial policies that can lead to such a structural change.

This book presents the latest research perspectives on how the Industry 4.0 paradigm is challenging the process of technological and structural change and how the diversification of the economy affects structural transformation. It also explores the impact of fast-growing technologies on the transformation of socioeconomic and environmental systems, and asks whether structural and technological change can generate sustainable economic growth and employment. Further, the book presents the basic innovations (new technologies, materials, energy, etc) and industrial policies that can lead to such a structural change.

Nanotechnology, biotechnology, information technology, and cognitive sciences are contributing to the emergence of intelligent computers and robots with elements of artificial intelligence and intelligent machines. This book postulates that these developments are accelerating the technological substitution of jobs and the shift in labor demand towards high qualification levels, putting the jobs of lower-skilled labor at risk. The digital economy is poised to increase the demand for highly qualified specialists in STEM fields (scientific research, innovative technologies, engineering, and mathematics serving digital technologies). In addition, highly skilled robotics engineers, AI and machine learning specialists, and virtual and augmented reality architects will be required. This book, using sector-focused mathematical models, explores how the demand for specialized human capital will play a decisive role in increasing the efficiency and productivity of labor in the digital economy. Success is guaranteed to those entrepreneurs who manage to establish a successful process of interaction with intelligent machines, which will require a deep restructuring of the training system for the digital economy.

The modern shipping industry has reached maturity; market demand and landscape shifts force industry agents to find new pathways to successful development. The Northern Sea Route (NSR) as a new pathway between Europe and Asia brings both opportunities and challenges to global logistics systems. These circumstances make commercial exploitation of the route a subject of intense focus in many countries actively involved in sea transportation. This book identifies specific problems and provides possible solutions to them by calling on the accumulated knowledge of researchers and practitioners with competencies from diverse areas, including transport and logistics, Arctic studies, IT and digital technologies, socio-economic systems analysis, hydrocarbon production, transport, business modeling, design of information systems and applications, and engineering requirements for IT services. It represents the integrated experience and expertise of researchers from Canada, Germany, Russia, and the Netherlands, including experts from oil and gas enterprises, shipping lines, logistics companies, and IT companies.

Nanotechnology, biotechnology, information technology, and cognitive sciences are contributing to the emergence of intelligent computers and robots with elements of artificial intelligence and intelligent machines. This book postulates that these developments are accelerating the technological substitution of jobs and the shift in labor demand towards high qualification levels, putting the jobs of lower-skilled labor at risk. The digital economy is poised to increase the demand for highly qualified specialists in STEM fields (scientific research, innovative technologies, engineering, and mathematics serving digital technologies). In addition, highly skilled robotics engineers, AI and machine learning specialists, and virtual and augmented reality architects will be required. This book, using sector-focused mathematical models, explores how the demand for specialized human capital will play a decisive role in increasing the efficiency and productivity of labor in the digital economy. Success is guaranteed to those entrepreneurs who manage to establish a successful process of interaction with intelligent machines, which will require a deep restructuring of the training system for the digital economy.