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Table of Contents:

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

Chapter Two: Literature Review
2.1 The Impact of Automation on Workforce
2.2 Current Reskilling Strategies for Automation
2.3 Challenges in Implementing Reskilling Programs
2.4 Best Practices in Strategic Workforce Reskilling
2.5 The Role of Technology in Reskilling Programs

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Ethical Considerations

Chapter Four: Discussion of Findings
4.1 Overview of Findings
4.2 Comparison with Existing Literature
4.3 Implications for Practice
4.4 Recommendations for Future Research

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Organizations
5.4 Contributions to Knowledge

Brief Overview:

Strategic workforce reskilling for automation has become a critical topic in today’s rapidly evolving work environment. With automation technologies threatening to disrupt traditional job roles and industries, organizations are under pressure to reskill their workforce to stay competitive. This final year project aims to explore the best practices and challenges in implementing strategic reskilling programs for automation.

The introduction chapter provides a background of the study, highlighting the importance of addressing the impact of automation on the workforce. It also outlines the objectives, limitations, and scope of the study. The literature review chapter delves into existing research on automation and reskilling, identifying key trends and strategies in the field.

The research methodology chapter details the approach taken in conducting the study, including research design, data collection methods, and analysis techniques. The discussion of findings chapter presents the results of the study, comparing them with existing literature and offering implications for practice.

In the conclusion and summary chapter, the key findings are summarized, and recommendations are made for organizations looking to implement strategic workforce reskilling programs. Overall, this project aims to contribute to the growing body of knowledge on reskilling for automation, providing valuable insights for organizations navigating the complex challenges of the digital age.

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