UID:
edoccha_9961535694202883
Format:
1 online resource (247 pages)
Edition:
1st ed.
ISBN:
3-031-55575-9
Series Statement:
Intelligent Systems Reference Library ; v.252
Note:
Intro -- Preface -- Contents -- 1 Digital Transformation of Public Services: Introduction, Current Trends and Future Directions -- 1.1 Introduction -- 1.2 Evolution of the e-Government Concepts -- 1.2.1 About e-Government -- 1.2.2 About e-Participation -- 1.2.3 About e-Governance -- 1.2.4 About t-Government -- 1.2.5 About a-Government -- 1.3 The Public Value of Transforming Public Services Through e-Government -- 1.4 e-Government Current Challenges -- 1.5 e-Government ICT Development Trends at a Glance -- 1.5.1 Security Trends -- 1.5.2 Cloud Computing Trend -- 1.5.3 Interoperability Trend -- 1.5.4 Artificial Intelligence Trend -- 1.5.5 Other Innovative Trends -- 1.6 Conclusion and Perspectives -- References -- 2 Enhancing Citizen Satisfaction Using Citizen-Facing Process Mining -- 2.1 Introduction -- 2.2 Citizen Satisfaction -- 2.3 Process Mining -- 2.4 Architectural Framework for Managing Citizen Satisfaction -- 2.5 Research Model -- 2.6 Analysis of Citizen Stories Using Citizen-Facing Process Mining -- 2.7 Discussions -- 2.8 Conclusions -- 2.9 Glossary of Terms -- References -- 3 Thinking Inside the Sandbox: Beyond Public Services Digitalization with Co-Production -- 3.1 Introduction -- 3.2 Scaling Regulatory Sandboxes: Driving Innovation and Transforming Public Services -- 3.3 Bridging the Gap: Enhancing Project Lifecycles -- 3.4 From Participation to Co-Production: Fostering Citizen Involvement in Regulatory Sandbox Innovation -- 3.5 Transforming Public Services: The Role of Regulatory Sandboxes and Co-Production in Fostering Innovation for Citizens -- 3.6 Practical Implications -- 3.7 Conclusion -- References -- 4 Assessing Sustainable Development of e-Government Services Towards Citizen Satisfaction Through Continuous Improvement Approach -- 4.1 Introduction -- 4.2 Objectives -- 4.3 Research Methodology -- 4.4 Conceptual Model.
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4.5 Literature Review -- 4.5.1 Citizen Satisfaction -- 4.5.2 Sustainability -- 4.5.3 e-Government Adoption -- 4.5.4 Continuous Improvement Approach -- 4.6 Continuous Improvement Approach-Process -- 4.6.1 Accessibility -- 4.6.2 Streamlined Services -- 4.6.3 State-of-the-Art Technology -- 4.6.4 Awareness -- 4.6.5 Usability -- 4.7 Enablers and Barriers to e-Government Success -- 4.8 Continuous Improvement Approach-Engineering Methodology -- 4.9 Analysis and Discussions -- 4.9.1 Demographic Data -- 4.9.2 Mean and Standard Deviation of Sustainability, Citizen Satisfaction and e-Governance Adoption -- 4.9.3 Correlation Analysis -- 4.9.4 Regression Analysis -- 4.10 Case Study Method -- 4.10.1 Europe -- 4.10.2 United States -- 4.10.3 Asia -- 4.10.4 Africa -- 4.10.5 Australia -- 4.10.6 e-Governance-a Methodology for Excellence in e-Governance -- 4.10.7 Developing a Process-Oriented View of Government Work -- 4.11 The Web Measure Index -- 4.11.1 Telecommunications Infrastructure Index -- 4.11.2 e-Participation Index -- 4.11.3 e-Government Around the World -- 4.12 Findings and Suggestions -- 4.13 Policy Implications -- 4.14 Conclusion -- References -- 5 Usage of Modern API for Automization of Government Procedures -- 5.1 Introduction -- 5.2 Designing APIs for Government Services: A Comprehensive Guide -- 5.2.1 Simplicity and Consistency -- 5.2.2 Documentation and Developer Support -- 5.2.3 Authentication and Authorization -- 5.2.4 Data Privacy and Compliance -- 5.2.5 Versioning and Backward Compatibility -- 5.2.6 Rate Limiting and Throttling -- 5.2.7 Monitoring and Analytics -- 5.3 Advantages of Using API Design in Government -- 5.3.1 Data Accessibility and Transparency -- 5.3.2 Service Integration and Interoperability -- 5.3.3 Developer Ecosystem and Innovation -- 5.3.4 Efficiency and Cost Reduction -- 5.3.5 Standardization and Reusability.
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5.3.6 Security and Privacy -- 5.3.7 Data-Driven Decision Making -- 5.4 Security and Privacy Concerns of API -- 5.4.1 Connectivity -- 5.4.2 Extensibility -- 5.4.3 Complexity -- 5.4.4 Authorization and Permissions -- 5.4.5 API Abuse and Rate Limiting -- 5.4.6 Secure Data Transmission -- 5.4.7 Logging and Monitoring -- 5.4.8 Privacy Compliance -- 5.4.9 Secure Development Practices -- 5.5 Cost and Challenges of API -- 5.5.1 Security -- 5.5.2 Adhering to Existing Regulation -- 5.5.3 Lack of Skills -- 5.6 Integration of APIs into Existing Government Procedures -- 5.6.1 Benefits of Integrating APIs into Government Procedures -- 5.6.2 Steps to Integrate APIs into Government Procedures -- 5.7 Tools and Strategies for Successful Implementation -- 5.7.1 API Management Platforms -- 5.7.2 Open Data Initiatives -- 5.7.3 Interoperability Standards -- 5.7.4 Security and Access Control -- 5.7.5 Developer Engagement and Support -- 5.7.6 Performance Monitoring and Scaling -- 5.7.7 Compliance and Governance -- 5.8 Cyber Threats in Government Systems: The Vulnerabilities Within API-Based Architectures -- 5.9 Conclusion -- References -- 6 Epidemiology Inspired Cybersecurity Threats Forecasting Models Applied to e-Government -- 6.1 Introduction -- 6.2 Dynamic Forecasting as a Necessity -- 6.3 Inspirations from Epidemiology -- 6.3.1 General Considerations -- 6.3.2 Illustrating Example -- 6.4 Analogy Between the Spread of Diseases and the Spread of Cyber Attacks -- 6.4.1 Pathogen Versus Malware -- 6.4.2 Susceptible Host Versus Vulnerable System -- 6.4.3 Spread and Contagion -- 6.4.4 Strain Evolution -- 6.5 Proposition of Integrated Models to Assess Cyber-Threats -- 6.5.1 The SEIR Epidemiological Model for Cybersecurity -- 6.5.2 Cybersecurity Propagation Model: Inspired by Herd Immunity and Cyber Immunity -- 6.5.3 Multi-level SEIR Epidemiological Model for Cybersecurity.
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6.5.4 Potential Integration for Comprehensive Threat Assessment -- 6.6 Conclusion and Perspectives -- References -- 7 The Provision of e-Services by Public Administration Bodies and Their Cybersecurity -- 7.1 Definition of e-Administration -- 7.2 Context of European Union Regulation -- 7.3 Development and Usage of e-Services -- 7.4 Cybersecurity of Public e-Services -- 7.5 Conclusions and Perspectives -- References -- 8 Modernizing the Processes for Human Resources Through Artificial Intelligence to Optimize a Variety of e-Government Responsibilities -- 8.1 Introduction -- 8.2 Literature Review -- 8.2.1 Artificial Intelligence for e-Government -- 8.2.2 Prediction and Personalization for e-Government -- 8.2.3 New Approaches to Modernize the Processes for Human Resources -- 8.2.4 Summary of the Literature Review -- 8.3 A Framework to Improve the Processes for Human Resources -- 8.4 End-to-End Trustworthiness -- 8.5 Conclusion and Perspectives -- References -- 9 Fuzzy Logic Architecture for Availing E-Governance Healthcare Services by Rural Citizens -- 9.1 Introduction -- 9.1.1 Global Concern of E-Governance Services -- 9.1.2 E-Governance in Indian Context -- 9.2 Review of Literature -- 9.2.1 Evidence Related to Information and Communication Technology -- 9.2.2 Literacy -- 9.2.3 Health Care Services Usage Under E-Governance -- 9.3 Methods -- 9.4 Architecture of Fuzzy Logic -- 9.4.1 Fuzzy System for the Present Study -- 9.4.2 Determination of Variables and Attributes -- 9.4.3 Formation of Fuzzy Rules -- 9.4.4 Formation of Fuzzy System -- 9.4.5 Testing the System with Fuzzy Rules -- 9.5 Discussion -- 9.6 Conclusion and Future Work -- References -- 10 Enhancing the Efficiency and the Security of e-Government: The French Case Study of Human Resources Applications -- 10.1 Introduction -- 10.2 Literature Review.
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10.2.1 Ensuring IT Security of e-Government Applications -- 10.2.2 Improving Administrative Efficiency and Performance Through the Adoption e-Government -- 10.2.3 Enhancing User Satisfaction by Developing e-Government -- 10.3 Data-Based Inter-Ministerial Architecture -- 10.4 Procedure-Based Inter-Ministerial Architecture -- 10.5 Conclusion -- References.
Additional Edition:
ISBN 3-031-55574-0
Language:
English