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This text provides one of the first book-length studies on the innovative and sustainable development of complex systems in the era of digital transformations, combining quantitative data from several countries with detailed qualitative accounts at the national level. In particular, the book covers the basic concepts, methods, and cutting-edge research on innovation and sustainability in complex systems. Given its scope, the book will be of great interest and value to researchers and practitioners working across the social sciences and in a diverse range of areas in complexity science. Pursuing a multidisciplinary approach, the book is also an ideal resource for advanced undergraduate and graduate level courses in complexity science, sustainability research, economics, and development studies. .
Computational complexity. --- Engineering—Data processing. --- Complexity. --- Data Engineering. --- Complexity, Computational --- Electronic data processing --- Machine theory --- Sustainable development. --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Environmental aspects
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This book presents a multidisciplinary collection of original contributions made by the leading scholars and practitioners on researching, building, and maintaining sustainable agricultural systems. Being the first of its kind, the book is divided into two volumes. This book presents a comprehensive and informed review of the current state of multidisciplinary knowledge on sustainability in agriculture. The gaps in the scholarly literature are identified and rigorously analyzed, presenting a clear picture of the promising research directions. The authors critically analyze the very concept of sustainable agricultural systems, primarily focusing on the interactions existing between their integral components and with external environments. Relying on the provisions of complex systems science, the scholars then discuss the best approaches and methodologies used to build a comprehensive understanding of agricultural systems, with relation to achieving and maintaining their sustainability. More than that, this book holds two rich sections on (1) agricultural economics and (2) rural sustainability. Understanding sustainable development as a movement toward clearly defined and measurable goals, a set of chapters explore those policies, practices, technologies, and management systems that have an impact on the sustainability of agricultural systems. Agricultural sustainability is an urgent issue to be addressed, and this book makes a unique contribution. Due to its practical focus, the book appeals to practitioners and policymakers working in agricultural economics, governance, and sustainability, not just academics. This is also a valuable resource for graduate students interested in agricultural systems, sustainability, as well as complex systems theory and practice.
Statistical physics. --- Dynamical systems. --- Control engineering. --- Agriculture. --- Complex Systems. --- Control and Systems Theory. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Statistical methods --- Dynamics. --- Automatic control.
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This text provides one of the first book-length studies on the innovative and sustainable development of complex systems in the era of digital transformations, combining quantitative data from several countries with detailed qualitative accounts at the national level. In particular, the book covers the basic concepts, methods, and cutting-edge research on innovation and sustainability in complex systems. Given its scope, the book will be of great interest and value to researchers and practitioners working across the social sciences and in a diverse range of areas in complexity science. Pursuing a multidisciplinary approach, the book is also an ideal resource for advanced undergraduate and graduate level courses in complexity science, sustainability research, economics, and development studies. .
Engineering sciences. Technology --- Computer. Automation --- complexiteit --- ingenieurswetenschappen --- gegevensverwerking
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This book redefines the essence of the information society and the digital economy, offering a new approach to their management and organization based on big data. The novelty of the new approach is that it ensures the use of the advanced technological capabilities of the Fourth Industrial Revolution to accelerate socio-economic development. The success of the new approach is based on progressive social institutions and advanced big data technology. Theoretical issues, methodological developments, and the author’s applied recommendations are consistently presented in forty chapters distributed in five sections. The book contains cases that reveal the practical experience of the Eurasian Economic Union (EAEU). The intended readership of the book is scientists. The book is interesting and useful for them because it presents an innovative model of information society and digital economy development driven by big data. .
Quantitative methods (economics) --- Methodology of economics --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- financieel management --- econometrie --- KI (kunstmatige intelligentie) --- Big data. --- Information society. --- Information technology. --- AI (artificiële intelligentie)
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This book, with contributions by both leading scholars and industry experts, provides a coherent framework for understanding complex determinants and patterns of industry competitiveness. Divided into eight parts, it covers both quantitative and qualitative research on the following topics: technologies, economic development, and human resources in Industry 4.0; management in the digital economy; artificial intelligence and knowledge management approaches; drivers of sustainable and innovative development in corporations; resilient and competitive systems in the energy sector; compliance and anti-corruption mechanisms; and competence networks and technological integration. Thanks to its highly stimulating discussions on the determinants and patterns of industry competitiveness, this book appeals to a wide readership. .
Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Engineering economics. --- Engineering economy. --- Computational Intelligence. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering
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Engineering sciences. Technology --- Computer. Automation --- complexiteit --- ingenieurswetenschappen --- gegevensverwerking
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Mathematics --- Classical mechanics. Field theory --- dynamica
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Discrete mathematics --- Electrical engineering --- Agriculture. Animal husbandry. Hunting. Fishery --- grafentheorie --- automatisering --- landbouw --- systeemtheorie --- automatische regeltechniek
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Discrete mathematics --- Electrical engineering --- Agriculture. Animal husbandry. Hunting. Fishery --- grafentheorie --- automatisering --- landbouw --- systeemtheorie --- automatische regeltechniek
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