Impact of artificial intelligence on business decision-making – Complete Phd and Masters Thesis

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Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Research Questions
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Evolution of Artificial Intelligence
2.2 Applications of Artificial Intelligence in Business
2.3 Impact of Artificial Intelligence on Business Decision-Making
2.4 Challenges and Opportunities of AI in Business Decision-Making

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Research Ethics

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Analysis of Results
4.3 Implications for Business Decision-Making
4.4 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Recommendations for Business Decision-Makers

Brief Overview:

Artificial intelligence (AI) has revolutionized the way businesses make decisions by providing valuable insights and predictive analytics. This final year project aims to explore the impact of AI on business decision-making, focusing on how AI technologies such as machine learning and natural language processing are being used in various industries.

The literature review will examine the evolution of AI, its applications in business, and the specific ways in which AI is influencing decision-making processes. The research methodology will outline the data collection methods and analysis techniques used to gather insights from industry experts and decision-makers.

The discussion of findings will present an analysis of the results, highlighting the benefits and challenges of using AI in business decision-making. The conclusion will summarize the key findings, provide recommendations for business decision-makers, and suggest areas for future research in this rapidly evolving field.

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