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This timely book presents a remarkable collection of chapters that provides readers with a coherent framework for understanding the factors driving industry competitiveness in contemporary conditions of economic digitalization and the ongoing transition to industry 4.0. Presenting contributions by scientists, engineers, and field experts, the book focuses on using advanced technologies and applications, building innovative and resilient systems in industrial enterprises, developing competitive management systems, creating competence networks, and enhancing integration to foster and sustain industry competitiveness. Both qualitative and quantitative studies are included, and this collection of diverse perspectives adds to the richness of the volume's insights. Along with reviewing deep theoretical concepts and innovative approaches, the publication provides practical applications and technological solutions to real-world problems existing in industry. Recent advances in management theory and practice focused on the forces driving competition in industry are also extensively covered by the leading scholars and practitioners.

Methodology of economics --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- financieel management --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)

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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.

Discrete mathematics --- Electrical engineering --- Agriculture. Animal husbandry. Hunting. Fishery --- grafentheorie --- automatisering --- landbouw --- systeemtheorie --- automatische regeltechniek

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Methodology of economics --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- financieel management --- KI (kunstmatige intelligentie)

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This book is reflective of a science-based vision of the future development paradigm of economic and social systems. It deals with the digitization as the technological basis for the future development of economic and social systems and presents a review of groundbreaking technologies and prospects for their application. The specific character of the industry and prospects for the application of digital technologies in business are analyzed. A rationale is provided for future prospects for the sustainable development of economic and social systems in a digital economy. The authors determine the process of the formation and development of the information-oriented society, social and educational aspects of the digitization, as well as the institutional framework of the digital future of social and economic systems. The book combines the best works following the results of the 12th International Research-to-Practice Conference "Artificial Intelligence: Anthropogenic Nature vs. Social Origin" that was held by the Institute of Scientific Communications (ISC) in cooperation with the Siberian Federal University and the Krasnoyarsk Regional Fund of support of scientific and scientific-technical activities on 5-7 December 2019, in Krasnoyarsk, Russia, as well as following the results of the 3rd International Research-to-Practice Conference "Economic and Social Systems: Paradigms for the Future" that was held by the ISC in cooperation with the Pyatigorsk State University on 5-6 February 2020. The target audience of the book consists of representatives of the academic community concerned with the future prospects for the development of economic and social systems, as well as economic agents engaged in the digitization of business processes, and representatives of public agencies regulating the development of business systems for their progressivity, sustainability and competitiveness. .

Methodology of economics --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Business management --- Business economics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- financieel management --- economie --- wiskunde --- ingenieurswetenschappen

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This book is the very first book-length study devoted to the advances in technological development and systems research in cooperative economics. The chapters provide, first of all, a coherent framework for understanding and applying the concepts and approaches of complexity and systems science for the advanced study of cooperative networks and particular cooperative enterprises and communities. Second, the book serves as a unique source of reliable information on the frontier information technologies available for the production, consumer, credit, and agricultural cooperative enterprises, discussing predominant strategies, potential drivers of change, and responses to complex problems. Given the diverse range of backgrounds and advanced research results, researchers, decision-makers, and stakeholders from all fields of cooperative economics in any country of the world will undoubtedly benefit from this book.

Quantitative methods (economics) --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- econometrie --- algoritmen --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)