Overview
- Provides a cross-sectoral approach to develop macroeconomic systems
- Features new approaches in integrated development of economic systems in the context of digital technologies
- Leverages the expertise of researchers and practitioners from the academic and industry sectors
Part of the book series: Studies on Entrepreneurship, Structural Change and Industrial Dynamics (ESID)
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About this book
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 digitaleconomy. 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.
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Keywords
Table of contents (12 chapters)
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Front Matter
Editors and Affiliations
About the editors
Andrei Rudskoi is a well-known Russian scientist, a specialist in the field of materials science, digitization of modern industry, and economy. He holds a doctorate in technical sciences, and is professor and academician at the Russian Academy of Sciences. He is the current rector of Peter the Great St. Petersburg Polytechnic University (SPbPU, Russia).
Askar Akaev is a well-known scientist in the field of nonlinear optics, dynamics of economic systems, and mathematical modeling of processes of economic dynamics. He is also known for his research in the field of digital transformation of economic systems and methods for assessing the level of economic inequality. He is the chief fellow at the Lomonosov Moscow State University (Russia).
Tessaleno Campos Devezas is associate professor with habilitation at Atlântica – Instituto Universitário (Portugal). He is known for his contributions to the long waves theory in socioeconomic development, technological evolution, energy systems, world system analysis, and materials science. His main research interests embrace technological forecasting, futures studies, socioeconomic long waves, evolutionary economics, technological evolution, innovation theory and dynamics, complex adaptive systems, and advanced materials.
Bibliographic Information
Book Title: Digital Transformation and the World Economy
Book Subtitle: Critical Factors and Sector-Focused Mathematical Models
Editors: Andrei Rudskoi, Askar Akaev, Tessaleno Devezas
Series Title: Studies on Entrepreneurship, Structural Change and Industrial Dynamics
DOI: https://doi.org/10.1007/978-3-030-89832-8
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-89831-1Published: 25 January 2022
Softcover ISBN: 978-3-030-89834-2Published: 26 January 2023
eBook ISBN: 978-3-030-89832-8Published: 24 January 2022
Series ISSN: 2511-2023
Series E-ISSN: 2511-2031
Edition Number: 1
Number of Pages: XII, 235
Number of Illustrations: 56 b/w illustrations
Topics: Economics, general, International Economics, International Business, Business and Management, general