Digital Transformation and the World Economy : Critical Factors and Sector-Focused Mathematical Models / edited by Andrei Rudskoi, Askar Akaev, Tessaleno Devezas
(Studies on Entrepreneurship, Structural Change and Industrial Dynamics. ISSN:25112031)
| Publisher | (Cham : Springer International Publishing : Imprint: Springer) |
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| Year | 2022 |
| Edition | 1st ed. 2022. |
| Authors | Rudskoi, Andrei editor Akaev, Askar editor Devezas, Tessaleno editor SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00176743 | Springer Business and Management eBooks (電子ブック) | 9783030898328 |
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| Material Type | E-Book |
|---|---|
| Media type | 機械可読データファイル |
| Size | XII, 235 p. 56 illus : online resource |
| Notes | Rethinking Theory on the Role of Technological Innovation in Economic Development -- Information Model for Calculating the Rate of Technical Progress -- K-Waves and the Innovation-Technological Paradigm of Schumpeter–Mensch–Freeman–Hirooka -- Assessment of the Quality of Growth of National Economies in the Context of Digital Transformation -- Digital Transformation and Growth Models -- The Dualistic Nature of Technological Convergence and Human Resources -- Education System and Labor Market in the Context of Digital Transformation -- Structural Change in Developed Economies in the Digital Age -- Theory and Practice of Territories Spatial Development Based on the Smart City Concept -- Exo-intelligent Data-Driven Reconfigurable Computing Platform -- Critical Factors and Challenges of Healthcare Digital Transformation -- Digital Transformation Maturity Model 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 HTTP:URL=https://doi.org/10.1007/978-3-030-89832-8 |
| Subjects | LCSH:Technological innovations LCSH:International economic relations LCSH:International business enterprises FREE:Economics of Innovation FREE:International Economics FREE:International Business FREE:Innovation and Technology Management |
| Classification | LCC:HC79.T4 DC23:338.064 |
| ID | 8000078852 |
| ISBN | 9783030898328 |
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