1. Introduction 1.1 Background and Context 1.2 Purpose of the Study 1.3 Research Questions 1.4 Structure of the Thesis 2. Theoretical Framework 2.1 Definition of Artificial Intelligence 2.2 Strategic Decision-Making 2.3 Theoretical Models in AI and Strategy 3. Artificial Intelligence in Business Context 3.1 Evolution of AI in Industry 3.2 Current Applications in Management 3.3 Challenges and Opportunities 4. Impact on Strategic Decision-Making 4.1 Enhancing Decision Accuracy 4.2 Speed and Efficiency in Decisions 4.3 Risk Management and Forecasting 5. Methodology 5.1 Research Design 5.2 Data Collection Methods 5.3 Data Analysis Techniques 6. Case Studies and Examples 6.1 AI Implementation in Tech Companies 6.2 Traditional vs AI-driven Decision-Making 6.3 Lessons Learned from Failures 7. Ethical and Legal Considerations 7.1 Privacy and Data Security 7.2 Bias and Fairness in AI 7.3 Regulatory Compliance 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Managers 8.3 Future Directions in Research
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