1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Research Questions 1.4 Structure of the Thesis 2. Literature Review 2.1 Overview of Artificial Intelligence 2.2 Strategic Decision-Making Theories 2.3 Interrelation of AI and Decision-Making 2.4 Management Practices in the Modern Era 3. Methodology 3.1 Research Design and Approach 3.2 Data Collection Methods 3.3 Data Analysis Techniques 3.4 Limitations and Delimitations 4. AI Technologies in Management 4.1 Machine Learning Applications 4.2 Natural Language Processing Utilization 4.3 AI-Driven Data Analytics 4.4 Automation in Strategic Decisions 5. Effects of AI on Decision-Making 5.1 Enhanced Data Interpretation 5.2 Speed and Efficiency in Decision Processes 5.3 Reduction of Human Cognitive Biases 5.4 Challenges and Risks Involved 6. Case Studies 6.1 AI Implementation in Corporate Strategies 6.2 Comparative Analysis Across Industries 6.3 Lessons Learned and Best Practices 7. Discussion 7.1 Interpretation of Findings 7.2 Implications for Management Practices 7.3 Future Trends and Developments 7.4 Ethical Considerations and Responsibility 8. Conclusion 8.1 Summary of Key Findings 8.2 Contributions to the Field 8.3 Recommendations for Practitioners 8.4 Suggestions for Further Research
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