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Introduction

In today’s fast-paced job market, Human Resources (HR) departments are inundated with hundreds, if not thousands, of resumes for each job posting. With such a large volume of applicants, it can be a daunting task for HR professionals to efficiently and effectively screen through each resume to find the best candidates. This is where automated resume screening technology comes into play. Automated resume screening utilizes artificial intelligence and machine learning algorithms to quickly scan, analyze, and rank resumes based on predetermined criteria set by the recruiter.

As a PhD student researching this topic, I aim to explore the effectiveness of automated resume screening in facilitating the recruitment process for HR departments. This thesis will delve into the background of the study, outline the problem statement, discuss the objectives, limitations, and scope of the study, highlight the significance of the research, and detail the structure of the thesis. Additionally, key terminologies will be defined to provide clarity and context for the readers.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Evolution of Recruitment Process
2.2 Traditional Resume Screening Methods
2.3 Benefits of Automated Resume Screening
2.4 Drawbacks of Automated Resume Screening
2.5 Best Practices for Automated Resume Screening
2.6 Ethical Considerations in Automated Resume Screening
2.7 Impact of Automated Resume Screening on Recruitment Efficiency
2.8 Case Studies on Successful Implementation of Automated Resume Screening
2.9 Future Trends in Automated Resume Screening
2.10 Summary of Literature Review

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Variables and Operationalization
3.6 Instrumentation
3.7 Reliability and Validity
3.8 Ethical Considerations
3.9 Limitations of the Methodology

Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Analysis of Results
4.3 Comparison with Previous Studies
4.4 Implications for HR Practice
4.5 Recommendations for Future Research
4.6 Limitations of the Study

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contribution to Knowledge
5.3 Practical Implications
5.4 Recommendations for HR Professionals
5.5 Conclusion

This thesis aims to provide a comprehensive overview of automated resume screening technology in the recruitment process. Through a thorough examination of the literature, research methodology, discussion of findings, and conclusion, this research will shed light on the benefits, challenges, and implications of using automated resume screening for HR professionals.

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