東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Big data in the govtech system

Ostrovskaya, Victoria N.

Linked to FindBook

Google Book

Amazon

博客來

Big data in the govtech system

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data in the govtech system/ edited by Victoria N. Ostrovskaya, Aleksei V. Bogoviz.
other author:	Ostrovskaya, Victoria N.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 200 p. :ill., digital ;24 cm.
[NT 15003449]:	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 -- Effectiveness of the Education System: Comparative Analysis of the Estimated Data Parameters -- Modern Educational Platforms for Distance Training on Lean Production.
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-031-04903-3
ISBN:	9783031049033

Big data in the govtech system
Big data in the govtech system[electronic resource] /edited by Victoria N. Ostrovskaya, Aleksei V. Bogoviz. - Cham :Springer International Publishing :2022. - xi, 200 p. :ill., digital ;24 cm. - Studies in big data,v. 1102197-6511 ;. - Studies in big data ;v. 110..

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 -- Effectiveness of the Education System: Comparative Analysis of the Estimated Data Parameters -- Modern Educational Platforms for Distance Training on Lean Production.

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)

ISBN: 9783031049033

Standard No.: 10.1007/978-3-031-04903-3doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45 / B54 2022

Dewey Class. No.: 005.7

Big data in the govtech system
LDR:03105nmm a2200325 a 4500 001 2303325
003 DE-He213
005 20220803191021.0
007 cr nn 008maaau
008 230409s2022 sz s 0 eng d
020 $a 9783031049033 $q (electronic bk.)
020 $a 9783031049026 $q (paper)
024 7 $a 10.1007/978-3-031-04903-3 $2 doi
035 $a 978-3-031-04903-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45 $b B54 2022
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b B592 2022
245 0 0 $a Big data in the govtech system $h [electronic resource] / $c edited by Victoria N. Ostrovskaya, Aleksei V. Bogoviz.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xi, 200 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 110
505 0 $a 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 -- Effectiveness of the Education System: Comparative Analysis of the Estimated Data Parameters -- Modern Educational Platforms for Distance Training on Lean Production.
520 $a 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)
650 0 $a Big data. $3 2045508
650 0 $a Internet in public administration. $3 738137
650 0 $a Educational technology. $3 517670
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Industrial Management. $3 3537892
650 2 4 $a Quantitative Economics. $3 3538570
700 1 $a Ostrovskaya, Victoria N. $3 3378212
700 1 $a Bogoviz, A. V. $3 3604454
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v. 110. $3 3604455
856 4 0 $u https://doi.org/10.1007/978-3-031-04903-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)