Go to main content

Recent advances in data and algorithms for e-government / Christophe Gaie, Mayuri Mehta, editors.

Gaie, Christophe, editor.; Mehta, Mayuri, editor.
2023
JF1525.A8 R43 2023
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Recent advances in data and algorithms for e-government / Christophe Gaie, Mayuri Mehta, editors.
ISBN
9783031224089 (electronic bk.)
3031224086 (electronic bk.)
3031224078
9783031224072
DOI
https://doi.org/10.1007/978-3-031-22408-9
Published
Cham : Springer, [2023]
Language
English
Description
1 online resource (244 p.).
Item Number
10.1007/978-3-031-22408-9 doi
Call Number
JF1525.A8 R43 2023
Dewey Decimal Classification
350.000285
Summary
This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.
Bibliography, etc. Note
References -- 3 New Architecture to Facilitate the Expansion of e-Government -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Good Governance -- 3.3.1 Strategy and Competitiveness Model -- 3.3.2 Core Governance Model -- 3.3.3 Common Economic Model -- 3.3.4 4 D's Development Model -- 3.3.5 National Innovation Model -- 3.3.6 Safety and Security Model -- 3.3.7 Empowerment Model -- 3.4 Reimagining e-Government -- 3.4.1 Redefine Phase -- 3.4.2 Refine Phase -- 3.4.3 Lead Phase -- 3.5 Evolving e-Government Architecture -- 3.6 Case Studies/Use Cases -- 3.6.1 Managing Roads in Bengaluru
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 14, 2023).
Added Author
Gaie, Christophe, editor.
Mehta, Mayuri, editor.
Series
Artificial intelligence-enhanced software and systems engineering ; v. 5.
Available in Other Form
Recent Advances in Data and Algorithms for E-Government
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
Intro
Preface
Contents
Abbreviations
1 Conceptual Model and Data Algorithm for Modernization of e-Governance Towards Sustainable e-Government Services
1.1 Introduction
1.1.1 Evolution of e-Government
1.1.2 State-of-the-Art Technology in e-Government Services
1.1.3 Modernization Effect on Service Delivery
1.1.4 Modernisation and Sustainability of e-Government Services
1.1.5 Challenges of Modernising e-Government
1.2 Objectives of the Study
1.3 Review of Literature
1.3.1 Information Quality
1.3.2 System Quality
1.3.3 Service Quality

1.3.4 State-of-the-Art Technology
1.3.5 Citizen Satisfaction
1.3.6 Efficiency of e-Government Services
1.3.7 Sustainable e-Government Services
1.4 Proposed Conceptual Model
1.5 Methodology
1.6 Algorithm
1.6.1 Algorithm for E-Filing a Form
1.6.2 Algorithm-2
1.7 e-Governance Initiatives Across the Globe-Case Study
1.7.1 Denmark
1.7.2 Jordan
1.7.3 Bangladesh
1.7.4 Hong Kong
1.7.5 China
1.7.6 Kuwait
1.8 Analysis and Discussions
1.9 Conclusion
References

2 e-School Initiatives that Instigated Digital Transformation in Education: A Case Study According to SABER-ICT Framework
2.1 Introduction
2.1.1 e-Government
2.1.2 ICT-Enhanced Schools
2.1.3 From ICT-Enhanced to Digital Transformation of Education
2.2 A Case Study of Saudi Arabia Through the SABER-ICT Framework
2.2.1 SABER-ICT
2.2.2 ICT in Education: Saudi Arabia's Case
2.3 Recommendations
2.3.1 Transformation Culture
2.3.2 Policy and Leadership
2.3.3 Security and Cybersecurity Readiness
2.3.4 Infrastructure
2.3.5 Learning Analytics
2.4 Conclusion

3.6.2 Decentralized Economic Development
3.7 Discussions
3.8 Conclusion
References
4 Struggling Against Tax Fraud, a Holistic Approach Using Artificial Intelligence
4.1 Introduction
4.2 Literature Review
4.3 Holistic Process to Improve e-Government Procedures Against Tax Fraud
4.3.1 Organize and Link Data
4.3.2 Improve Fraud Detection Mechanism
4.3.3 Optimize Resource Allocation
4.3.4 Analyze Results
4.4 Conclusion and Perspectives
References
5 e-Government and Green IT: The Intersection Point
5.1 Introduction

Browse Subjects

Show more subjects...

Statistics

from
to
Export