<p><span>This book presents applications and solutions of Big Data in the GovTech system and recommendations for regulating the institutions of the digital economy and information society for the wide application of Big Data with the use of the institutional approach. In this book, a systematic scie
Big Data in the GovTech System
â Scribed by Victoria N. Ostrovskaya (editor), Aleksei V. Bogoviz (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 199
- Series
- Studies in Big Data; 110
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
This book presents applications and solutions of Big Data in the GovTech system and recommendations for regulating the institutions of the digital economy and information society for the wide application of Big Data with the use of the institutional approach. In this book, a systematic scientific understanding of GovTech is formed, the central place of Big Data in this system is substantiated, and modern experience in the functioning and development of this system is considered in detail. The contribution of the book to the literature is to bridge the gap between theory and practice of GovTech through a comprehensive study of all its manifestations in the three parts of the book. The first part is devoted to GovTech in the provision of high-tech educational services based on Big Data. The second part reflects state regulation of the economy by industry using Big Data in the GovTech. The third part outlined the digital divide and the experience of overcoming it with the help of GovTech based on Big Data.
The practical significance of the book lies in the fact that it offers a holistic practical guide to the development of the GovTech system based on Big Data. The book will be of interest to academic scientists studying GovTech, as it clarified its categorical apparatus and scientific basis. The subjects of management in GovTech form the secondary target audience of this book, which provides them with numerous cases from the experience of modern Russia, as well as applied recommendations for improving the efficiency of the GovTech system based on Big Data. The book is multidisciplinary and is intended for scientists from various fields of science (pedagogy, economics, business, law, management, and ICT).
⌠Table of Contents
Big Data In The GovTech System: Scientific Vision and Modern Empirical Experience (Introduction)
Contents
GovTech in the Provision of High-Tech Educational Services Based on Big Data
On the Need and Opportunities for Digitalization of the Educational and Methodological Support of the Educational Process in the Context of Improving Its Quality Indicators
1 Introduction
2 Materials and Method
3 Results
4 Conclusion
References
Effectiveness of the Education System: Comparative Analysis of the Estimated Data Parameters
1 Introduction
2 Materials and Methods
3 Discussion
4 Results
5 Conclusion
References
Modern Educational Platforms for Distance Training on Lean Production
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
The Use of Digital Technologies in the Implementation of the Meta-Subject Approach as a Trend in the Development of the International Educational Environment
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Digital Skills Shaping as a Factor of Sustainable Development of Higher Education
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Digital Technologies in the Teacherâs Professional Activities
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Distance Learning in Higher Education: Technologies of the Moodle Electronic Environment
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
State Regulation of the Economy by Industry Using Big Data in the GovTech
Improving the Application of Information Technology in the Economy of Service Organizations
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Development of the Service Sector in a Digital Environment
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Innovative Banking Services in the Conditions of Digitalization
1 Introduction
2 Materials and Methods
3 Results
4 Conclusion
References
Analysis of the FinTech Segment in the Russian Financial Services Market
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusions
References
Spatial and Territorial Factors in the Development of Communal Infrastructure Systems
1 Introduction
2 Results
3 Conclusion
References
P2P Lending as a New Model of Digital Bank
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
Innovations in Accounting and Analytical Support in the Construction of Automated Integrated Systems
1 Introduction
2 Materials and Methods
3 Results
4 Conclusion
References
Digitalization of the Strategic Management Systems of the Oil and Gas Industry Enterprises
1 Introduction
2 Methodology
3 Results
4 Conclusions
References
Digital Divide and Its Bridging with the Help of GovTech Based on Big Data
Tendencies and Trends in the Process of Digitalization of Personnel Selection by Heads of Commercial Companies
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Long-Term Effects of COVID-19: How the Pandemic Highlighted the Global Digital Divide
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
Youth, Work and Skills: A Map of the Transformation of the Workforce and Employment
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusion
References
Adaptation of Students to the Digital Space of the Modern World: Problems of Legal Support in Russia
1 Introduction
2 Materials and Method
3 Results
4 Conclusion
References
Efficiency Assessment of Private Investorsâ Potential for PublicâPrivate Partnership Projects
1 Introduction
2 Materials and Method
3 Results
4 Conclusion
References
Assessing the Value of Marine Environmental Projects Using the Scrubbing System
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Diagnostics of Budgetary Potential of Regions in Order to Implement the Value-Oriented Financial Policy of State
1 Introduction
2 Methodology
3 Results
4 Conclusion
References
Big Data in the GovTech System: Future Perspectives and New Questions (Conclusion)
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