Table of contents for ebook and audiobook: „Smarter Business: The Future of Intelligent Leadership”
Here is the translation of the given text to English:
**Intelligent Business: Advanced Concepts and Strategies**
**Table of Contents**
* **Part 1: Foundations of Intelligent Business**
+ **Chapter 1: Introduction to Intelligent Business**
- 1.1 Definition and Scope of Intelligent Business
- 1.2 History and Evolution of Intelligent Business
- 1.3 Key Principles and Strategies of Intelligent Business
- 1.4 Case Studies: Successful Intelligent Business Models
- 1.5 Challenges and Opportunities in Intelligent Business
- 1.6 Conclusion and Future Directions
+ **Chapter 2: Understanding Customer Behavior and Preferences**
- 2.1 Customer Segmentation and Profiling
- 2.2 Behavioral and Attitudinal Analysis
- 2.3 Predictive Analytics and Modeling
- 2.4 Customer Journey Mapping and Experience Design
- 2.5 Measuring Customer Satisfaction and Loyalty
- 2.6 Case Studies: Effective Customer Engagement Strategies
- 2.7 Conclusion and Recommendations
+ **Chapter 3: Data-Driven Decision Making and Analytics**
- 3.1 Data Sources and Collection Methods
- 3.2 Data Cleaning, Processing, and Storage
- 3.3 Descriptive, Predictive, and Prescriptive Analytics
- 3.4 Data Visualization and Storytelling
- 3.5 Big Data and Machine Learning Applications
- 3.6 Case Studies: Data-Driven Business Success Stories
- 3.7 Conclusion and Future Directions
* **Part 2: Intelligent Business Strategies and Tactics**
+ **Chapter 4: Digital Transformation and Innovation**
- 4.1 Digital Strategy and Roadmap Development
- 4.2 Agile Methodologies and DevOps Practices
- 4.3 Design Thinking and Human-Centered Design
- 4.4 Emerging Technologies and Trends
- 4.5 Case Studies: Successful Digital Transformation Initiatives
- 4.6 Conclusion and Recommendations
+ **Chapter 5: Artificial Intelligence and Machine Learning**
- 5.1 Introduction to AI and ML Concepts
- 5.2 Types of AI and ML Applications
- 5.3 AI and ML in Customer Service and Support
- 5.4 AI and ML in Marketing and Sales
- 5.5 AI and ML in Operations and Supply Chain
- 5.6 Case Studies: AI and ML in Intelligent Business
- 5.7 Conclusion and Future Directions
+ **Chapter 6: Blockchain and Distributed Ledger Technology**
- 6.1 Introduction to Blockchain and DLT
- 6.2 Use Cases and Applications of Blockchain
- 6.3 Blockchain in Supply Chain Management
- 6.4 Blockchain in Identity Verification and Security
- 6.5 Case Studies: Blockchain Adoption in Intelligent Business
- 6.6 Conclusion and Recommendations
* **Part 3: Intelligent Business Leadership and Culture**
+ **Chapter 7: Leadership and Organizational Change Management**
- 7.1 Leadership Styles and Effectiveness
- 7.2 Organizational Culture and Change Management
- 7.3 Communication and Stakeholder Engagement
- 7.4 Talent Management and Development
- 7.5 Case Studies: Successful Leadership and Change Initiatives
- 7.6 Conclusion and Recommendations
+ **Chapter 8: Intelligent Business Ethics and Governance**
- 8.1 Introduction to Business Ethics and Governance
- 8.2 Ethical Decision Making and Leadership
- 8.3 Corporate Social Responsibility and Sustainability
- 8.4 Risk Management and Compliance
- 8.5 Case Studies: Intelligent Business Ethics and Governance
- 8.6 Conclusion and Recommendations
+ **Chapter 9: Intelligent Business and Society**
- 9.1 Introduction to Intelligent Business and Society
- 9.2 The Impact of Intelligent Business on Society
- 9.3 Social Responsibility and Corporate Citizenship
- 9.4 Case Studies: Intelligent Business and Social Impact
- 9.5 Conclusion and Recommendations
* **Part 4: Implementing Intelligent Business**
+ **Chapter 10: Intelligent Business Roadmap and Implementation**
- 10.1 Developing an Intelligent Business Roadmap
- 10.2 Building an Intelligent Business Team
- 10.3 Identifying and Prioritizing Intelligent Business Initiatives
- 10.4 Measuring and Evaluating Intelligent Business Success
- 10.5 Case Studies: Successful Intelligent Business Implementations
- 10.6 Conclusion and Recommendations
