Digital China: Big Data and Government Managerial Decision (eBook)
XIII, 141 Seiten
Springer Nature Singapore (Verlag)
978-981-19-9715-0 (ISBN)
This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China.
The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure.Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.
Jiang Qing (Jiang Wei) is MBA cooperation tutor of Zhongnan University of Economics and Law, the vice-president of Chinese Academy of Education Big Data, director of CSISC Big Data Research Laboratory and executive director of China Statistical Information Consulting Center.
Jiang Qing is mainly engaged in big data application research, big data and leadership decision-making, digital governance, policy evaluation and other fields of think tank research and big data application practice, and leads the team to build big data application platform, such as big data of public sentiment, big data of network retail, big data of B&R, big data of word of mouth, data mining and data visualization. Since 2013,Jiang Qing led the team to undertake the task of special report for the NPC and CPPCC National Committee annual sessions for five consecutive years, and undertook the research based on big data, top-level design and implementation of big data-based entrusted projects by a number of central leaders, ministries and commissions, local governments, enterprises and institutions, including the National Academy of Administration, the State Food and Drug administration, the State Administration for Industry and Commerce, the Ministry of Agriculture and the National Bureau of Statistics. She is one of the earliest practitioners engaged in big data application research in China.
This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China.The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure.Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.
| Erscheint lt. Verlag | 4.4.2023 |
|---|---|
| Zusatzinfo | XIII, 141 p. 19 illus., 1 illus. in color. |
| Sprache | englisch |
| Original-Titel | 数字中国：大数据与政府管理决策 |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Sozialwissenschaften ► Pädagogik ► Sozialpädagogik | |
| Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung | |
| Sozialwissenschaften ► Soziologie ► Spezielle Soziologien | |
| Schlagworte | Application of Big Data • Big Data • Business Management • Digital Construction • e-government • Government Management • Interdisciplinary talent • Public Services • Safety and Risks • Strategy |
| ISBN-10 | 981-19-9715-2 / 9811997152 |
| ISBN-13 | 978-981-19-9715-0 / 9789811997150 |
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