Chapter 1 The Rise and Evolution of E-Government
1. Concept and Development Model of E-government
2. The Emergence and Development of E-government

Chapter 2 Introducing and Adapting Public Management Information System
1. Information Systems Development and Management: The Difference Between MIS and PMIS
2. Policy-Making Models in E-government

Chapter 3 Understanding and Moving toward E-Governance
1. Definition and Types of E-governance
2. Conditions for Implementing E-government

Chapter 4 The Fourth Industrial Revolution and ICT Governance
1. Industry 4.0
2. Advances in Technology and Changes in the Public Sector
3. New Administrative Demands and Shifting Administrative Paradigms
4. Smart Governance (Digital Government) and IT Ecosystems

Chapter 5 Smart Cities
1. Smart City
2. Smart City Trends
3. How Smart Cities will Evolve?
4. How to Promote Big Data-based Smart Cities?

Chapter 6 AI for Public Administration and Policy
1. The Rise of Artificial Intelligence
2. Concepts and Types of Artificial Intelligence
3. Using AI in the Public Sector
4. AI Decision-Making Perspectives and Examples
5. Adopting AI in Public Sector Policy-Making
6. Direction of AI Administration and Policy

Chapter 7 Multi-Dimensional Policy Analysis and Decision-Making Model Based on the Quantum Probability
1. Game Changer: Quantum Theory and Government
2. Intelligent Government of the Future Toward Convergence
3. Limitations and Alternatives to the Deterministic Approach
4. Theoretical Foundations: Quantum Probability (QP) Theory
5. Quantum Probability Model
6. Quantum Approach: Rethinking the Relationship between Government and Transparency in Policy Process
7. Example: Empirical Test based on Quantum Probability Model
8. Policy Suggestions

Appendix
Meta-Government Possibilities and Policy Suggestions