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).

This book describes the current innovative tendencies characteristic of multifaceted scientific research and practical developments in the field of international business development and sustainable management. This book shows how companies are forced to change development strategies and business models, which actualizes new priorities for scientific research in the field of international business and sustainable management. Therefore, completely new subject areas of research are being formed; management guidelines are being transformed; new business development tools are being developed; the very system of academic research is changing. This book "Innovative Trends in International Business and Sustainable Management" is devoted to the discussion of these and other issues related to all major areas of international business development and sustainable management. This book systematically describes multidimensional trends, challenges, and opportunities for the development of international business and sustainable management in the context of a global pandemic. In this sense, it is unique and relevant for both scientific researchers and modern business practitioners. This book uniquely highlights new priorities of scientific and practical research in the field of international business and sustainable management that require a systematic knowledge of the ongoing transformations of trends, challenges, and opportunities for the development. Aimed at scholars and practitioners, the book provides illustrations of international best practice for conducting business beyond borders. The main goals of the book are firstly to provide opinions on current innovative approaches and technologies for solving modern problems of international business, as well as on the formation of a multi-level system of sustainable management of the socioeconomic systems' development, secondly, to integrate research from academia, as well as practitioners in order to form priorities, approaches and models of company management in the context of globalization, strategies for the development of management systems in the context of the "new reality", thirdly, to find the most relevant new areas of research, the results of which can be useful to companies for making management decisions, and concludes to analyze new tools for the development of international business, their capabilities, and areas of application

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).

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.

The book studies artificial intelligence as a new reality and a perspective direction for the modern economy's development, as well as its future technological basis. The book forms a meta-scientific approach to studying AI, which allows uniting the efforts of scholars from different spheres of science for formation of a comprehensive idea of AI. The book reflects the meta-scientific approach to the balanced use of human and artificial intelligence and the features of successful development of the information economy under the conditions of technological progress based on artificial intelligence. It describes the implementation of the subject approach in psychology and pedagogy based on artificial intelligence and reflects the political and legal aspects of creating, implementing and developing artificial intelligence. The impact of artificial intelligence on the economy and financial services is considered, and modernization of management of production and distribution processes and systems based on AI are studied. The target audience of the book includes scholars from different spheres of science who study AI, companies interested in implementation of AI, and government that regulates the issues of development and use of AI.

The book studies artificial intelligence as a new reality and a perspective direction for the modern economy's development, as well as its future technological basis. The book forms a meta-scientific approach to studying AI, which allows uniting the efforts of scholars from different spheres of science for formation of a comprehensive idea of AI. The book reflects the meta-scientific approach to the balanced use of human and artificial intelligence and the features of successful development of the information economy under the conditions of technological progress based on artificial intelligence. It describes the implementation of the subject approach in psychology and pedagogy based on artificial intelligence and reflects the political and legal aspects of creating, implementing and developing artificial intelligence. The impact of artificial intelligence on the economy and financial services is considered, and modernization of management of production and distribution processes and systems based on AI are studied. The target audience of the book includes scholars from different spheres of science who study AI, companies interested in implementation of AI, and government that regulates the issues of development and use of AI.